Ian Reid

Research Interests

Computer Vision Knowledge Representation and Machine Learning Robotics and Automation

Prof Ian Reid

Internally Contract-Funded Research Professor

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Ian Reid's research interests span a wide range of topics in Computer Vision and Machine Learning, with a particular interest in using cameras as sensors for robotic applications such as for autonomous vehicles.

Date Position Institution name
2012 - ongoing Professor of Computer Science University of Adelaide
2005 - 2008 Sub-rector Exeter College, Oxford
2000 - 2012 Professor of Engineering Science University of Oxford
2000 - 2012 Tutorial Fellow Exeter College, Oxford
1992 - 2000 Research Fellow University of Oxford, Oxford

Date Type Title Institution Name Country Amount
2016 Award Best paper award, DICTA - Australia -
2015 Award Best Paper, IEEE Workshop on Vehicle Technology IEEE Workshop on Vehicle Technology - -
2015 Award Best reviewer, IEEE Computer Vision and Pattern Recognition IEEE Computer Vision and Pattern Recognition - -
2014 Award Best Reviewer, Robotics: Science and Systems Conference - United States -
2014 Award Best Paper, International 3D Vision Conference International 3D Vision Conference Japan -
2013 Fellowship ARC Laureate Fellowship - - -
2010 Award Best industry paper, British Machine Vision Conference British Machine Vision Association United Kingdom -
2009 Award Best student poster, British Machine Vision Conference - United Kingdom -
2008 Award Best paper, IEEE Computer Vision and Pattern Recognition - United States -
2003 Award Best science paper, British Machine Vision Conference - United Kingdom -
1997 Fellowship EPSRC Advanced Research Fellowship - - -
1993 Fellowship Violette and Samuel Glasstone Fellowship - - -
1988 Scholarship Rhodes Scholarship - - -

Date Institution name Country Title
1988 - 1992 University of Oxford United Kingdom D.Phil.
1984 - 1987 University of Western Australia Australia BSc (hons)

Date Title Institution name Country
2021 Fellow Australian Academy of Science Australia
2016 Fellow Australian Academy of Technological Sciences and Engineering, Melbourne Australia

Year Citation
2025 Chen, K., An, D., Huang, Y., Xu, R., Su, Y., Ling, Y., . . . Wang, L. (2025). Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(11), 1-16.
DOI Scopus1 WoS1
2024 Lafargue, R., Smith, L., Vermet, F., Löwe, M., Reid, I., Gripon, V., & Valmadre, J. (2024). Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning. Transactions on Machine Learning Research, 2024.
2024 Nguyen, B. L., Doan, A. -D., Chin, T. -J., Guettier, C., Gupta, S., Parra, E., . . . Wagner, M. (2024). Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Transactions on Intelligent Transportation Systems, 25(9), 11635-11647.
DOI Scopus4 WoS2
2024 Sun, L., Bian, J. -W., Zhan, H., Yin, W., Reid, I., & Shen, C. (2024). SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1), 497-508.
DOI Scopus45 WoS39 Europe PMC11
2024 Doan, A. -D., Nguyen, B. L., Gupta, S., Reid, I., Wagner, M., & Chin, T. -J. (2024). Assessing domain gap for continual domain adaptation in object detection. Computer Vision and Image Understanding, 238, 103885-1-103885-10.
DOI Scopus2 WoS1
2023 Sachdeva, R., Cordeiro, F. R., Belagiannis, V., Reid, I., & Carneiro, G. (2023). ScanMix : Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognition, 134, 109121-1-109121-10.
DOI Scopus34 WoS29
2023 Cordeiro, F. R., Sachdeva, R., Belagiannis, V., Reid, I., & Carneiro, G. (2023). LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognition, 133, 109013-1-109013-14.
DOI Scopus87 WoS75
2022 Lu, X., Ma, C., Shen, J., Yang, X., Reid, I., & Yang, M. H. (2022). Deep object tracking with shrinkage loss. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5), 2386-2401.
DOI Scopus58 WoS63 Europe PMC10
2022 Zhu, T., Hiller, M., Ehsanpour, M., Ma, R., Drummond, T., Reid, I., & Rezatofighi, H. (2022). Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence, abs/2103.14829(11), 1-14.
DOI Scopus44 WoS34 Europe PMC3
2022 Nguyen, T. T. D., Rezatofighi, H., Vo, B. N., Vo, B. T., Savarese, S., & Reid, I. (2022). How Trustworthy are Performance Evaluations for Basic Vision Tasks?. IEEE Transactions on Pattern Analysis and Machine Intelligence, abs/2008.03533(7), 1-15.
DOI Scopus10 WoS7 Europe PMC2
2022 Zhuang, B., Shen, C., Tan, M., Chen, P., Liu, L., & Reid, I. (2022). Structured Binary Neural Networks for Image Recognition. INTERNATIONAL JOURNAL OF COMPUTER VISION, 130(9), 22 pages.
DOI Scopus10 WoS8
2021 Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., . . . Leal-Taixé, L. (2021). MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. International Journal of Computer Vision, 129(4), 845-881.
DOI Scopus254 WoS204
2021 Doan, A. -D., Latif, Y., Chin, T. -J., & Reid, I. (2021). HM⁴: hidden Markov model with memory management for visual place recognition. IEEE Robotics and Automation Letters, 6(1), 167-174.
DOI Scopus4 WoS4
2021 Rezatofighi, H., Reid, I., & Li, K. N. (2021). MOLTR: Multiple Object Localisation, Tracking and Reconstruction from Monocular RGB Videos. IEEE Robotics and Automation Letters, 6(2), 3341-3348.
DOI Scopus21 WoS16
2021 Zhuang, B., Tan, M., Liu, J., Liu, L., Reid, I., & Shen, C. (2021). Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10), 6140-6152.
DOI Scopus27 WoS23 Europe PMC5
2021 Rezatofighi, H., Kaskman, R., Taghizadeh Motlagh, S. F., Shi, Q., Milan, A., Cremers, D., . . . Reid, I. D. (2021). Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12), 1-15.
DOI Scopus7 WoS5 Europe PMC1
2021 Lassance, C., Latif, Y., Garg, R., Gripon, V., & Reid, I. (2021). Improved visual localization via graph filtering. Journal of Imaging, 7(2), 20.
DOI Scopus2 WoS2
2021 Bian, J., Zhan, H., Wang, N., Li, Z., Zhang, L., Shen, C., . . . Reid, I. (2021). Unsupervised scale-consistent depth learning from video. International Journal of Computer Vision, 129(9), 2548-2564.
DOI Scopus180 WoS152
2021 Yan, Q., Gong, D., Shi, J. Q., van den Hengel, A., Shen, C., Reid, I., & Zhang, Y. (2021). Dual-attention-guided network for ghost-free high dynamic range imaging. International Journal of Computer Vision, 130(1), 19 pages.
DOI Scopus44 WoS35
2021 Bian, J. W., Zhan, H., Wang, N., Chin, T. J., Shen, C., & Reid, I. (2021). Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12), 12 pages.
DOI Scopus57 WoS52 Europe PMC13
2020 Li, K., Rezatofighi, H., & Reid, I. D. (2020). MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos.. CoRR, abs/2012.05360.
2020 Dendorfer, P., Rezatofighi, H. S., Milan, A., Shi, Q. J., Cremers, D., Reid, I. D., . . . Leal-Taixé, L. (2020). MOT20: A benchmark for multi object tracking in crowded scenes. CoRR, abs/2003.09003, 7 pages.
2020 Li, J., Liu, Y., Yuan, X., Zhao, C., Siegwart, R., Reid, I., & Cadena, C. (2020). Depth based semantic scene completion with position importance aware loss. IEEE Robotics and Automation Letters, 5(1), 219-226.
DOI Scopus60 WoS48
2020 Liu, C., Yao, R., Rezatofighi, S. H., Reid, I., & Shi, Q. (2020). Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Transactions on Image Processing, 29, 277-288.
DOI Scopus15 WoS13 Europe PMC3
2020 Lin, G., Liu, F., Milan, A., Shen, C., & Reid, I. (2020). RefineNet: multi-path refinement networks for dense prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(5), 1228-1242.
DOI Scopus129 WoS118 Europe PMC21
2020 Liu, W., Zhang, P., Huang, X., Yang, J., Shen, C., & Reid, I. (2020). Real-time image smoothing via iterative least squares. ACM Transactions on Graphics, 39(3), 28-1-28-24.
DOI Scopus115 WoS97
2020 Adeli, V., Adeli, E., Reid, I., Niebles, J. C., & Rezatofighi, H. (2020). Socially and Contextually Aware Human Motion and Pose Forecasting. IEEE Robotics and Automation Letters, 5(4), 6033-6040.
DOI Scopus79 WoS59
2020 Doan, A. D., Latif, Y., Chin, T. J., Liu, Y., Ch ng, S. F., Do, T. T., & Reid, I. (2020). Visual localization under appearance change: filtering approaches. Neural Computing and Applications, 33(13), 254-261.
DOI Scopus4 WoS7
2020 Zhuang, B., Liu, L., Tan, M., Shen, C., & Reid, I. (2020). Training quantized neural networks with a full-precision auxiliary module. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1485-1494.
DOI Scopus61 WoS51
2020 Liao, Z., Drummond, T., Reid, I., & Carneiro, G. (2020). Approximate Fisher information matrix to characterise the training of deep neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1), 15-26.
DOI Scopus21 WoS16 Europe PMC1
2019 Li, X., Zhao, L., Ji, W., Wu, Y., Wu, F., Yang, M., . . . Reid, I. (2019). Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(4), 915-927.
DOI Scopus20 WoS18 Europe PMC1
2019 Maicas, G., Bradley, A. P., Nascimento, J. C., Reid, I., & Carneiro, G. (2019). Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Analysis, 58, 101562-1-101562-14.
DOI Scopus30 WoS24 Europe PMC14
2019 Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., . . . Leal-Taixe, L. (2019). CVPR19 Tracking and Detection Challenge: How crowded can it get?.
2019 Bian, J. W., Lin, W. Y., Liu, Y., Zhang, L., Yeung, S. K., Cheng, M. M., & Reid, I. (2019). GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. International Journal of Computer Vision, 128(6), 1580-1593.
DOI Scopus126 WoS93
2018 Nekrasov, V., Shen, C., & Reid, I. (2018). Light-weight refinenet for real-time semantic segmentation. British Machine Vision Conference 2018 Bmvc 2018, abs/1810.03272.
Scopus68
2018 Zulqarnain Gilani, S., Mian, A., Shafait, F., & Reid, I. (2018). Dense 3D Face Correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(7), 1584-1598.
DOI Scopus78 WoS69 Europe PMC17
2018 Nekrasov, V., Shen, C., & Reid, I. D. (2018). Diagnostics in semantic segmentation. CoRR, abs/1809.10328, 1-16.
2018 Hodgson, J., Mott, R., Baylis, S., Pham, T., Wotherspoon, S., Kilpatrick, A., . . . Koh, L. (2018). Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution, 9(5), 1160-1167.
DOI Scopus384 WoS332 Europe PMC1
2017 Ren, C., Prisacariu, V., Kähler, O., Reid, I., & Murray, D. (2017). Real-time tracking of single and multiple objects from depth-colour imagery using 3D signed distance functions. International Journal of Computer Vision, 124(1), 80-95.
DOI Scopus28 WoS25 Europe PMC9
2016 Reid, I. (2016). 12th Asian conference on computer vision. Computer Vision and Image Understanding, 146, 51.
DOI
2016 Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., . . . Leonard, J. (2016). Past, present, and future of simultaneous localization and mapping: toward the robust-perception age. IEEE Transactions on Robotics, 32(6), 1309-1332.
DOI Scopus3340 WoS2601
2016 Liu, F., Shen, C., Lin, G., & Reid, I. (2016). Learning depth from single monocular images using deep convolutional neural fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 2024-2039.
DOI Scopus1109 WoS950 Europe PMC106
2016 Liu, F., Shen, C., Reid, I., & Van Den Hengel, A. (2016). Online unsupervised feature learning for visual tracking. Image and Vision Computing, 51, 84-94.
DOI Scopus11 WoS10
2015 Prisacariu, V., Kähler, O., Murray, D., & Reid, I. (2015). Real-time 3D tracking and reconstruction on mobile phones. IEEE Transactions on Visualization and Computer Graphics, 21(5), 557-570.
DOI Scopus39 WoS29 Europe PMC5
2015 Leal-Taixé, L., Milan, A., Reid, I., Roth, S., & Schindler, K. (2015). MOTChallenge 2015: Towards a benchmark for multi-target tracking. arXiv preprint arXiv:1504.01942.
2014 Ren, C., Prisacariu, V., & Reid, I. (2014). Regressing local to global shape properties for online segmentation and tracking. International Journal of Computer Vision, 106(3), 269-281.
DOI Scopus6 WoS4
2012 Prisacariu, V., & Reid, I. (2012). PWP3D: Real-time segmentation and tracking of 3D objects. International Journal of Computer Vision, 98(3), 335-354.
DOI Scopus175 WoS146
2012 Bellotto, N., Benfold, B., Harland, H., Nagel, H., Pirlo, N., Reid, I., . . . Zhao, C. (2012). Cognitive visual tracking and camera control. Computer Vision and Image Understanding, 116(3), 457-471.
DOI Scopus27 WoS21
2012 Patron-Perez, A., Marszalek, M., Reid, I., & Zisserman, A. (2012). Structured learning of human interactions in TV shows. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(12), 2441-2453.
DOI Scopus147 WoS122 Europe PMC11
2011 Mei, C., Sibley, G., Cummins, M., Newman, P., & Reid, I. (2011). RSLAM: a system for large-scale mapping in constant-time using stereo. International Journal of Computer Vision, 94(2), 198-214.
DOI Scopus149 WoS116
2011 Robertson, N., & Reid, I. (2011). Automatic reasoning about causal events in surveillance video. Eurasip Journal on Image and Video Processing, 2011(530325), 530325-1-530325-19.
DOI Scopus17 WoS13
2011 Williams, B., Klein, G., & Reid, I. (2011). Automatic relocalisation and loop closing for real-time monocular SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(9), 1699-1712.
DOI Scopus90 WoS80 Europe PMC11
2011 Prisacariu, V., & Reid, I. (2011). 3D hand tracking for human computer interaction. Image and Vision Computing, 30(3), 236-250.
DOI Scopus44 WoS38
2011 Sibley, G., Mei, C., Reid, I., & Newman, P. (2011). Erratum: Vast-scale outdoor navigation using adaptive relative bundle adjustment (International Journal of Robotics Research (2010) 29:8 (958-980)). International Journal of Robotics Research, 30(1), 134.
DOI
2010 Sibley, G., Mei, C., Reid, I., & Newman, P. (2010). Vast-scale outdoor navigation using adaptive relative bundle adjustment. International Journal of Robotics Research, 29(8), 958-980.
DOI Scopus129 WoS97
2010 Deacon, G., Harwood, A., Holdback, J., Maiwand, D., Pearce, M., Reid, I., . . . Taylor, J. (2010). The Pathfinder image-guided surgical robot. Proceedings of the Institution of Mechanical Engineers Part H: Journal of Engineering in Medicine, 224(5), 691-713.
DOI Scopus40 WoS30 Europe PMC12
2010 Reid, I., & Connor, K. (2010). Multiview segmentation and tracking of dynamic occluding layers. Image and Vision Computing, 628(6), 1022-1030.
DOI Scopus4 WoS3
2010 Sibley, G., Mei, C., Reid, I., & Newman, P. (2010). Robotics Research. The International Journal of Robotics Research, 29, 958-980.
2009 Woodford, O., Torr, P., Reid, I., & Fitzgibbon, A. (2009). Global stereo reconstruction under second order smoothness priors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12), 2115-2128.
DOI Scopus192 WoS149 Europe PMC18
2009 Shahrokni, A., Woodford, O., & Reid, I. (2009). Temporally-coherent novel video synthesis using texture-based priors. IPSJ Transactions on Computer Vision and Applications, 1, 72-81.
DOI
2009 Tresadern, P., & Reid, I. (2009). Video synchronization from human motion using rank constraints. Computer Vision and Image Understanding, 113(8), 891-906.
DOI Scopus36 WoS30
2009 Newman, P., Sibley, G., Smith, M., Cummins, M., Harrison, A., Mei, C., . . . Reid, I. (2009). Navigating, recognizing and describing urban spaces with vision and lasers. International Journal of Robotics Research, 28(11-12), 1406-1433.
DOI Scopus125 WoS80
2009 Williams, B., Cummins, M., Neira, J., Newman, P., Reid, I., & Tardos, J. (2009). A comparison of loop closing techniques in monocular SLAM. Robotics and Autonomous Systems, 57(12), 1188-1197.
DOI Scopus254 WoS183
2009 Newman, P., Sibley, G., Smith, M., Cummins, M., Harrison, A., Mei, C., . . . Reid, I. (2009). Navigating, Recognising and Describing Urban Spaces With Vision and Laser. The International Journal of Robotics Research, 28, 1406-1433.
2008 Tresadern, P., & Reid, I. (2008). Camera calibration from human motion. Image and Vision Computing, 26(6), 851-862.
DOI Scopus16 WoS10
2008 Robertson, N., Reid, I., & Brady, M. (2008). Automatic human behaviour recognition and explanation for CCTV video surveillance. Security Journal, 21, 173-188.
2007 Shahrokni, A., Woodford, O., & Reid, I. (2007). Temporal priors for novel video synthesis. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 4844 LNCS(PART 2), 601-610.
DOI Scopus1 WoS1
2007 Davison, A. J., Reid, I. D., Molton, N. D., & Stasse, O. (2007). MonoSLAM: Real-time single camera SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6), 1052-1067.
DOI Scopus3571 WoS2672 Europe PMC222
2006 Knight, J., & Reid, I. (2006). Automated alignment of Robotic pan-tilt camera units using vision. International Journal of Computer Vision, 68(3), 219-237.
DOI Scopus10 WoS8
2006 Robertson, N., & Reid, I. (2006). A general method for human activity recognition in video. Computer Vision and Image Understanding, 104(2-3 SPEC. ISS.), 232-248.
DOI Scopus143 WoS95
2005 Rodríguez, T., Reid, I., Horaud, R., Dalal, N., & Goetz, M. (2005). Image interpolation for virtual sports scenarios. Machine Vision and Applications, 16(4), 236-245.
DOI Scopus2 WoS2
2005 Deutscher, J., & Reid, I. (2005). Articulated body motion capture by stochastic search. International Journal of Computer Vision, 61(2), 185-205.
DOI Scopus362 WoS270
2002 Holdsworth, D., Vuthaluru, R., Reid, I., & Vincent, R. (2002). Differential absorption measurements of mesospheric and lower thermospheric electron densities using the Buckland Park MF radar. Journal of Atmospheric and Solar-Terrestrial Physics, 64(18), 2029-2042.
DOI Scopus21 WoS22
2002 Agapito, L., Hayman, E., & Reid, I. (2002). Erratum: Self-calibration of rotating and zooming cameras (International Journal of Computer Vision (November 2001) 45:2). International Journal of Computer Vision, 47(1-3), 287.
DOI Scopus3 WoS3
2001 Thompson, R. L., Reid, I. D., Muñoz, L. A., & Murray, D. W. (2001). Providing synthetic views for teleoperation using visual pose tracking in multiple cameras. IEEE Transactions on Systems Man and Cybernetics Part A Systems and Humans, 31(1), 43-54.
DOI Scopus25 WoS24
2001 Agapito, L., Hayman, E., & Reid, I. (2001). Self-calibration of rotating and zooming cameras. International Journal of Computer Vision, 45(2), 107-127.
DOI Scopus153 WoS113
2000 Criminisi, A., Reid, I., & Zisserman, A. (2000). Single view metrology. International Journal of Computer Vision, 40(2), 123-148.
DOI Scopus537 WoS391
2000 Hayman, E., de Agapito, L., Reid, I. D., & Murray, D. W. (2000). The rôle of self-calibration in euclidean reconstruction from two rotating and zooming cameras. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 1843, 477-492.
DOI Scopus6
1999 Criminisi, A., Reid, I., & Zisserman, A. (1999). Plane measuring device. Image and Vision Computing, 17(8), 625-634.
DOI Scopus170 WoS133
1998 Fairley, S. M., Reid, I. D., & Murray, D. W. (1998). Transfer of Fixation Using Affine Structure: Extending the Analysis to Stereo. International Journal of Computer Vision, 29(1), 47-58.
DOI Scopus4 WoS3
1997 Murray, D. W., Reid, I. D., & Davison, A. J. (1997). Steering without representation with the use of active fixation. Perception, 26(12), 1519-1528.
DOI Scopus9 WoS9 Europe PMC2
1997 Bradshaw, K. J., Reid, I. D., & Murray, D. W. (1997). The active recovery of 3D motion trajectories and their use in prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(3), 219-234.
DOI Scopus69 WoS50
1997 McLauchlan, P. F., Reid, I. D., Fairley, S. M., & Murray, D. W. (1997). The pipe-group architecture for real-time active vision. Real Time Imaging, 3(5), 319-330.
DOI Scopus1
1996 Reid, I. D., & Murray, D. W. (1996). Active tracking of foveated feature clusters using affine structure. International Journal of Computer Vision, 18(1), 41-60.
DOI Scopus63 WoS50
1996 Reid, I. D. (1996). Projective calibration of a laser-stripe range finder. Image and Vision Computing, 14(9), 659-666.
DOI Scopus63 WoS45
1996 Reid, I. D., & Beardsley, P. A. (1996). Self-alignment of a binocular robot. Image and Vision Computing, 14(8 SPEC. ISS.), 635-640.
DOI Scopus8 WoS3
1995 Reid, I. D., & Brady, J. M. (1995). Recognition of object classes from range data. Artificial Intelligence, 78(1-2), 289-326.
DOI Scopus9 WoS4
1995 Murray, D. W., Bradshaw, K. J., McLauchlan, P. F., Reid, I. D., & Sharkey, P. M. (1995). Driving saccade to pursuit using image motion. International Journal of Computer Vision, 16(3), 205-228.
DOI Scopus60 WoS45
1994 Chenavier, F., Reid, I., & Brady, M. (1994). Recognition of parameterized objects from 3D data: a parallel implementation. Image and Vision Computing, 12(9), 573-582.
DOI Scopus6 WoS5
1994 Bradshaw, K. J., McLauchlan, P. F., Reid, I. D., & Murray, D. W. (1994). Saccade and pursuit on an active head/eye platform. Image and Vision Computing, 12(3), 155-163.
DOI Scopus22 WoS19
1993 SHARKEY, P. M., MURRAY, D. W., VANDEVELDE, S., REID, I. D., & MCLAUCHLEN, P. F. (1993). A MODULAR HEAD EYE PLATFORM FOR REAL-TIME REACTIVE VISION (VOL 3, PG 517, 1993). MECHATRONICS, 3, 799.
1993 Sharkey, P. M., Murray, D. W., Vandevelde, S., Reid, I. D., & McLauchlan, P. F. (1993). A modular head/eye platform for real-time reactive vision. Mechatronics, 3(4), 517-535.
DOI Scopus50 WoS39
1993 Partridge, T. C., & Williams, M. A. J. (1993). Preface to Palaeogeography, Palaeoclimatology, Palaeoecology. Palaeogeography, Palaeoclimatology, Palaeoecology, 101(3-4), 185-187.
DOI Scopus1
1992 Reid, I., & Brady, M. (1992). Model-based recognition and range imaging for a guided vehicle. Image and Vision Computing, 10(3), 197-207.
DOI Scopus10 WoS5
1990 Keen, B. E., McCracken, G. M., & Stott, P. E. (1990). Preface. Journal of Nuclear Materials, 176-177(C), 7.
DOI

Year Citation
2020 Garg, S., Sünderhauf, N., Dayoub, F., Morrison, D., Cosgun, A., Carneiro, G., . . . Milford, M. (2020). Semantics for Robotic Mapping, Perception and Interaction: A Survey (Vol. 8). United States: Now Publishers.
DOI
2015 Cremers, D., Reid, I., Saito, H., & Yang, M. -H. (Eds.) (2015). Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision Singapore, Singapore, November 1–5, 2014 Revised Selected Papers, Part II (Vol. 9004). Switzerland: Springer.
DOI
2015 Cremers, D., Reid, I., Saito, H., & Yang, M. -H. (Eds.) (2015). Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision Singapore, Singapore, November 1–5, 2014 Revised Selected Papers, Part II (Vol. 9004). Switzerland: Springer.
DOI

Year Citation
2019 Maicas, G., Bradley, A. P., Nascimento, J. C., Reid, I., & Carneiro, G. (2019). Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. In L. Lu, X. Wang, G. Carneiro, & L. Yang (Eds.), Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (pp. 163-178). Cham, Switzerland: Springer.
DOI Scopus2
2014 Wang, M. L., Lynch, J., & Sohn, H. (2014). Preface. In M. L. Wang, J. P. Lynch, & H. Sohn (Eds.), Sensor Technologies for Civil Infrastructures: Sensing Hardware and Data Collection Methods for Performance Assessment (Vol. 1, pp. xxiii-xxv). Woodhead Publishing.
DOI
2011 Timofte, R., Prisacariu, V., Van Gool, L., & Reid, I. (2011). Combining traffic sign detection with 3D tracking towards better driver assistance. In C. Chen (Ed.), Emerging Topics in Computer Vision and its Applications (pp. 425-446). USA: World Scientific Publishing.
DOI
2001 de Agapito, L., Hayman, E., Reid, I. D., & Hartley, R. I. (2001). Self-calibration of zooming cameras from a single viewpoint. In Panoramic vision (pp. 269-289). Springer New York.
1995 Murray, D., Reid, I., Bradshaw, K., McLauchlan, P., Sharkey, P., & Fairley, S. (1995). Active exploration of dynamic and static scenes. In Real-time computer vision (pp. 117-140). Cambridge University Press.
1994 Reid, I. D., & Brady, J. M. (1994). Range image feature extraction and representation. In Advanced Guided Vehicles: Aspects of the Oxford AGV Project (pp. 141-162).
1992 Murray, D. W., Du, F., McLauchlan, P. F., Reid, I. D., Sharkey, P. M., & Brady, M. (1992). Design of stereo heads. In Unknown Book (pp. 155-172). MIT Press.
1991 Reid, I., & Brady, J. M. (1991). Recognizing Parameterized Models Using 3D Edges. In Unknown Book (pp. 355-358). Springer-Verlag London Limited.
DOI

Year Citation
2025 Liu, Y., Chen, Y., Wang, H., Belagiannis, V., Reid, I., & Carneiro, G. (2025). ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. In Proceedings of the 18th European Conference on Computer Vision (ECCV, 2024) Vol. 15059 (pp. 81-99). Milan, Italy: Springer Science and Business Media Deutschland GmbH.
DOI
2025 Zhang, Z., Liu, A., Reid, I., Hartley, R., Zhuang, B., & Tang, H. (2025). Motion Mamba: Efficient and Long Sequence Motion Generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15059 LNCS (pp. 265-282). Milan, Italy: Springer Science and Business Media Deutschland GmbH.
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2025 Wu, J., Bian, J. W., Li, X., Wang, G., Reid, I., Torr, P., & Prisacariu, V. A. (2025). GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15072 LNCS (pp. 55-71). Milan: Springer Science and Business Media Deutschland GmbH.
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2025 Podgorski, S., Garg, S., Hosseinzadeh, M., Mares, L., Dayoub, F., & Reid, I. (2025). TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals. In 2025 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2399-2406). Atlanta, GA, USA: IEEE.
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2025 Deng, J., He, T., Jiang, L., Wang, T., Dayoub, F., & Reid, I. (2025). 3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3772-3782). TN, Nashville: IEEE COMPUTER SOC.
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2025 Ehsanpour, M., Reid, I., & Rezatofighi, H. (2025). Social-MAE: Social Masked Autoencoder for Multi-Person Motion Representation Learning. In Proceedings IEEE International Conference on Robotics and Automation Vol. abs/2404.05578 (pp. 13913-13919). IEEE.
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2025 Li, B., Cai, Z., Li, Y. F., Reid, I., & Rezatofighi, H. (2025). Hier-SLAM: Scaling-Up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting. In Proceedings IEEE International Conference on Robotics and Automation Vol. abs/2502.14931 (pp. 9748-9754). IEEE.
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2024 Hosseinzadeh, M., & Reid, I. (2024). BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment. In IEEE International Conference on Intelligent Robots and Systems (pp. 14111-14118). Abu Dhabi, United Arab Emirates: IEEE.
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2024 Le, D. T., Gou, C., Datta, S., Shi, H., Reid, I., Cai, J., & Rezatofighi, H. (2024). JRDB-PanoTrack: An Open-World Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2024) (pp. 22325-22334). Seattle, WA, USA: IEEE.
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2024 Garg, S., Rana, K., Hosseinzadeh, M., Mares, L., Sünderhauf, N., Dayoub, F., & Reid, I. (2024). RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 35 (pp. 4090-4097). Yokohama, Japan: IEEE.
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2024 Faulkner, R., Haub, L., Ratcliffe, S., Reid, I., & Chin, T. J. (2024). Semantic Segmentation on 3D Point Clouds with High Density Variations. In 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023 (pp. 212-222). Online: IEEE.
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2024 Liu, Y., Ding, C., Tian, Y., Pang, G., Belagiannis, V., Reid, I., & Carneiro, G. (2024). Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023) (pp. 1151-1161). online: IEEE.
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2023 Pratt, H. C., Evans, B. J. E., Reid, I. D., & Wiederman, S. D. (2023). Ball Detection for a Lightweight Mobile Platform. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2023) (pp. 89-96). Online: Institute of Electrical and Electronics Engineers (IEEE).
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2023 Rana, K., Haviland, J., Garg, S., Abou-Chakra, J., Reid, I., & Sünderhauf, N. (2023). SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. In Proceedings of The 7th Conference on Robot Learning, as published in Proceedings of Machine Learning Research Vol. 229 (pp. 23-72). Atlanta, Georgia, USA: Maching Learning Research Press.
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2023 McLeod, S., Meoni, G., Izzo, D., Mergy, A., Liu, D., Latif, Y., . . . Chin, T. -J. (2023). Globally Optimal Event-Based Divergence Estimation for Ventral Landing. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Proceedings, Part I Workshops of the 17th European Conference on Computer Vision (ECCV 2022), as published in Lecture Notes in Computer Science Vol. 13801 (pp. 3-20). Cham, Switzerland: Springer.
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2022 Han, J., Fang, P., Li, W., Hong, J., Armin, M. A., Reid, I., . . . Li, H. (2022). You Only Cut Once: Boosting Data Augmentation with a Single Cut. In Proceedings of Machine Learning Research Vol. 162 (pp. 8196-8212). MD, Baltimore: JMLR-JOURNAL MACHINE LEARNING RESEARCH.
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2022 Bian, J. W., Zhan, H., & Reid, I. (2022). NVSS: High-quality Novel View Selfie Synthesis. In Proceedings - 2021 International Conference on 3D Vision, 3DV 2021 (pp. 1085-1094). online: IEEE.
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2022 Liu, D., Parra, A., Latif, Y., Chen, B., Chin, T. J., & Reid, I. (2022). Asynchronous Optimisation for Event-based Visual Odometry. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 2022-January (pp. 9432-9438). Philadelphia, PA, USA: IEEE.
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2022 Ehsanpour, M., Saleh, F., Savarese, S., Reid, I., & Rezatofighi, H. (2022). JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 20951-20960). New Orleans, LA, USA: IEEE.
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2022 Sachdeva, R., Hammond, R., Bockman, J., Arthur, A., Smart, B., Craggs, D., . . . Reid, I. (2022). Autonomy and Perception for Space Mining. In 2022 International Conference on Robotics and Automation (ICRA) Vol. 2022-January (pp. 4087-4093). Philadelphia, PA, USA: IEEE.
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2021 Liu, F., Tian, Y., Cordeiro, F. R., Belagiannis, V., Reid, I., & Carneiro, G. (2021). Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. In Proceedings of the 12th International Workshop, Machine Learning in Medical Imaging (MLMI 2021), as published in Lecture Notes in Computer Science Vol. 12966 LNIP (pp. 426-436). Switzerland: Springer International Publishing.
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2021 Li, K., DeTone, D., Chen, S., Vo, M., Reid, I., Rezatofighi, H., . . . Newcombe, R. (2021). ODAM: Object Detection, Association, and Mapping using Posed RGB Video. In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2021) (pp. 5978-5988). Virtual online: IEEE.
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2021 Sachdeva, R., Cordeiro, F. R., Belagiannis, V., Reid, I., & Carneiro, G. (2021). EvidentialMix: learning with combined open-set and closed-set noisy labels. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV 2021) (pp. 3606-3614). Headquarters, New York, NY, USA: IEEE.
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2021 Parra Bustos, A., Ch'ng, S., Chin, T., Eriksson, A. P., & Reid, I. D. (2021). Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. abs/2103.08292 (pp. 4296-4305). online: IEEE.
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2021 Adeli, V., Ehsanpour, M., Reid, I., Niebles, J. C., Savarese, S., Adeli, E., & Rezatofighi, H. (2021). TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. In Proceedings of the IEEE International Conference on Computer Vision Vol. abs/2104.04029 (pp. 13370-13380). online: IEEE.
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2021 Cordeiro, F. R., Belagiannis, V., Reid, I., & Carneiro, G. (2021). PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. In 32nd British Machine Vision Conference, BMVC 2021 (pp. 1-16). Online: BMVC.
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2021 Howe, M., Reid, I., & Mackenzie, J. (2021). Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data. In Proceedings of the 32nd British Machine Vision Conference (pp. 13 pages). Online: BMVA Press.
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2020 Liu, W., Zhang, P., Lei, Y., Huang, X., Yang, J., & Reid, I. (2020). A generalized framework for edge-preserving and structure-preserving image smoothing. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20) Vol. 34 (pp. 11620-11628). Palo Alto, CA: AAAI Press.
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2020 Pratt, H., Evans, B., Rowntree, T., Reid, I., & Wiederman, S. (2020). Recurrent Motion Neural Network for Low Resolution Drone Detection. In Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2020) (pp. 1-7). online: IEEE.
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2020 Felix Alves, R., Sasdelli, M., Reid, I. D., & Carneiro, G. (2020). Augmentation network for generalised zero-shot learning. In H. Ishikawa, C. -L. Liu, T. Pajdla, & J. Shi (Eds.), Proceedings of the 15th Asian Conference on Computer Vision (ACCV 2020), as published in Lecture Notes in Computer Science Vol. 12625 (pp. 442-458). Cham, Switzerland: Springer.
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2020 Bian, J. W., Wu, Y. H., Zhao, J., Liu, Y., Zhang, L., Cheng, M. M., & Reid, I. (2020). An evaluation of feature matchers for fundamental matrix estimation. In Proceedings of the 30th British Machine Vision Conference (BMVC 2019) (pp. 1-14). online: BMVA.
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2020 Nekrasov, V., Chen, H., Shen, C., & Reid, I. D. (2020). Architecture search of dynamic cells for semantic video segmentation. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV '20) (pp. 1959-1968). online: IEEE.
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2020 Li, K., Garg, R., Cai, M., & Reid, I. (2020). Single-view object shape reconstruction using deep shape prior and silhouette. In 30th British Machine Vision Conference 2019, BMVC 2019 (pp. 1-14). online: BMVA.
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2020 Ehsanpour, M., Abedin, A., Saleh, F., Shi, J., Reid, I., & Rezatofighi, H. (2020). Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12354 LNCS (pp. 177-195). Cham, Switzerland: SPRINGER INTERNATIONAL PUBLISHING AG.
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2020 Latif, Y., Doan, A. D., Chin, T. J., & Reid, I. (2020). SPRINT: Subgraph Place Recognition for INtelligent Transportation. In Proceedings of the 2020 IEEE International Conference on Robotics and Automation (pp. 5408-5414). online: IEEE.
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2020 Zhan, H., Weerasekera, C. S., Bian, J. W., & Reid, I. (2020). Visual odometry revisited: what should be learnt?. In Proceedings of the EEE International Conference on Robotics and Automation, as published in the IEEE Xplore (pp. 4203-4210). online: IEEE.
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2020 Cai, M., & Reid, I. (2020). Reconstruct locally, localize globally: A model free method for object pose estimation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2020) (pp. 3150-3160). online: IEEE.
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2020 Runz, M., Li, K., Tang, M., Ma, L., Kong, C., Schmidt, T., . . . Newcombe, R. (2020). FroDO: From Detections to 3D Objects. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 14708-14717). online: IEEE.
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2020 Liu, Y., Liu, L., Zhang, H., Rezatofighi, H., Yan, Q., & Reid, I. D. (2020). Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation.. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 8439-8446). Las Vegas, NV, USA (Virtual): IEEE.
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2020 Purkait, P., Zach, C., & Reid, I. (2020). SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12369 LNCS (pp. 155-171). Switzerland: Springer International Publishing.
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2020 Purkait, P., Chin, T. J., & Reid, I. (2020). NeuRoRA: Neural Robust Rotation Averaging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12369 LNCS (pp. 137-154). Switzerland: Springer International Publishing.
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2020 Nekrasov, V., Shen, C., & Reid, I. D. (2020). Template-based automatic search of compact semantic segmentation architectures. In Proceedings of the IEEE Winter Conferene on Applications of Computer Vision (WACV 2020) Vol. abs/1904.02365 (pp. 1969-1978). online: IEEE.
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2019 Tran, T. M., Do, T. -T., Reid, I., & Carneiro, G. (2019). Bayesian generative active deep learning. In K. Chaudhuri, & R. Salakhutdinov (Eds.), Proceedings of the 36th International Conference on Machine Learning (IMCL), as published in Proceedings of Machine Learning Research Vol. 97 (pp. 6295-6304). Long Beach, CA, USA: PMLR.
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2019 Do, T. -T., Tran, T., Reid, I., Kumar, V., Hoang, T., & Carneiro, G. (2019). A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) Vol. 2019-June (pp. 10396-10405). Long Beach, CA, USA: IEEE.
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2019 Zhang, T., Ji, P., Harandi, M., Hartley, R., & Reid, I. (2019). Scalable deep k-subspace clustering. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11365 (pp. 466-481). Switzerland: Springer.
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2019 Weerasekera, C. S., Garg, R., Latif, Y., & Reid, I. (2019). Learning deeply supervised good features to match for dense monocular reconstruction. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11365 (pp. 609-624). Switzerland: Springer.
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2019 Maicas Suso, G., Snaauw, G., Bradley, A. P., Reid, I., & Carneiro, G. (2019). Model agnostic saliency for weakly supervised lesion detection from breast DCE-MRI. In Proceedings of the 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) Vol. 2019-April (pp. 1057-1060). online: IEEE.
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2019 Cai, M., Shen, C., & Reid, I. (2019). A hybrid probabilistic model for camera relocalization. In Proceedings of the 29th British Machine Vision Conference (BMVC 2018) (pp. 1-12). Newcastle upon Tyne, UK: BMVC Press.
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2019 Do, T., Pham, T., Cai, M., & Reid, I. (2019). Real-time monocular object instance 6D pose estimation. In Proceedings of the 29th British Machine Vision Conference (BMVC 2018) (pp. 1-12). Newcastle upon Tyne, UK: BMVC Press.
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2019 Zhan, H., Weerasekera, C. S., Garg, R., & Reid, I. (2019). Self-supervised learning for single view depth and surface normal estimation. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA) Vol. 2019-May (pp. 4811-4817). Piscataway, NJ.: IEEE.
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2019 Parra Bustos, A., Chin, T. J., Eriksson, A., & Reid, I. (2019). Visual SLAM: Why bundle adjust?. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (pp. 2385-2391). Montreal, Canada: IEEE.
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2019 Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I. D., & Savarese, S. (2019). Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression.. In CVPR Vol. 2019-June (pp. 658-666). online: Computer Vision Foundation / IEEE.
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2019 Doan, A. -D., Latif, Y., Chin, T., Liu, Y., Ch'ng, S., Do, T. -T., & Reid, I. D. (2019). Visual Localization under Appearance Change: A Filtering Approach.. In Proceedings of 2019 Digital Image Computing Techniques and Applications (DICTA) (pp. 254-261). online: IEEE.
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2019 Yan, Q., Gong, D., Zhang, P., Shi, Q., Sun, J., Reid, I., & Zhang, Y. (2019). Multi-scale dense networks for deep high dynamic range imaging. In Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision (pp. 41-50). Waikoloa Village, HI, USA: IEEE.
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2019 Do, T., Hoang, T., Le Tan, D., Pham, T., Le, H., Cheung, N., & Reid, I. (2019). Binary constrained deep hashing network for image retrieval without manual annotation. In Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019 (pp. 695-704). online: IEEE.
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2019 Nekrasov, V., Chen, H., Shen, C., & Reid, I. D. (2019). Fast neural architecture search of compact semantic segmentation models via auxiliary cells. In Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) Vol. 2019-June (pp. 9126-9135). online: Computer Vision Foundation / IEEE.
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2019 Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2019). Structured binary neural networks for accurate image classification and semantic segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 413-422). online: IEEE.
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2019 Nekrasov, V., Dharmasiri, T., Spek, A., Drummond, T., Shen, C., & Reid, I. (2019). Real-time joint semantic segmentation and depth estimation using asymmetric annotations. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA) Vol. abs/1809.04766 (pp. 7101-7107). Montreal, Canada: IEEE.
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2019 Hosseinzadeh, M., Latif, Y., Pham, T., Suenderhauf, N., & Reid, I. (2019). Structure aware SLAM using quadrics and planes. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11363 (pp. 410-426). Switzerlaned: Springer.
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2019 Nguyen, A., Tran, Q. D., Do, T. T., Reid, I., Caldwell, D. G., & Tsagarakis, N. G. (2019). Object captioning and retrieval with natural language. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 2584-2592). online: IEEE.
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2019 Bian, J. -W., Li, Z., Wang, N., Zhan, H., Shen, C., Cheng, M. -M., & Reid, I. (2019). Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alche-Buc, E. Fox, & R. Garnett (Eds.), ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019) Vol. 32 (pp. 1-12). online: NIPS Proceedings.
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2019 Tchapmi, L. P., Kosaraju, V., Reid, I., Rezatofighi, H., & Savarese, S. (2019). Topnet: Structural point cloud decoder. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 383-392). online: IEEE.
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2019 Kosaraju, V., Sadeghian, A., Martín-Martín, R., Reid, I., Rezatofighi, H., & Savarese, S. (2019). Social-BiGAT: Multimodal trajectory forecasting using bicycle-GAN and graph attention networks. In H. M. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. B. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 (NIPS 2019) Vol. 32 (pp. 137-146). Vancouver, Canada: NIPSF Inc.
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2019 Rowntree, T., Pontecorvo, C., & Reid, I. (2019). Real-time human gaze estimation. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2019) (pp. 1-7). online: IEEE.
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2019 Yan, Q., Gong, D., Shi, Q., Van Den Hengel, A., Shen, C., Reid, I., & Zhang, Y. (2019). Attention-guided network for ghost-free high dynamic range imaging. In Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 1751-1760). online: IEEE.
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2019 Li, J., Liu, Y., Gong, D., Shi, Q., Yuan, X., Zhao, C., & Reid, I. (2019). RGBD based dimensional decomposition residual network for 3D semantic scene completion. In Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) Vol. 2019-June (pp. 7685-7694). online: Computer Vision Foundation / IEEE.
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2019 Purkait, P., Zach, C., & Reid, I. (2019). Seeing behind Things: Extending Semantic Segmentation to Occluded Regions. In IEEE International Conference on Intelligent Robots and Systems (pp. 1998-2005). online: IEEE.
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2019 Doan, D., Latif, Y., Chin, T. J., Liu, Y., Do, T. T., & Reid, I. (2019). Scalable place recognition under appearance change for autonomous driving. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 9318-9327). online: IEEE.
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2018 Latif, Y., Garg, R., Milford, M., & Reid, I. (2018). Addressing challenging place recognition tasks using generative adversarial networks. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2349-2355). Piscataway, NJ.: IEEE.
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2018 Maicas Suso, G., Bradley, A., Nascimento, J., Reid, I., & Carneiro, G. (2018). Training medical image analysis systems like radiologists. In A. Frangi, J. Schnabel, C. Davatzikos, C. Alberola-Lopez, & G. Fichtinger (Eds.), Medical Image Computing and Computer Assisted Intervention - MICCAI 2018: proceedings, part 1 Vol. 11070 LNCS (pp. 546-554). Granada: Springer.
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2018 Do, T., Nguyen, A., & Reid, I. (2018). AffordanceNet: an end-to-end deep learning approach for object affordance detection. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 5882-5889). Brisbane, Australia: IEEE.
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2018 Pham, T. T., Do, T. T., Sunderhauf, N., & Reid, I. (2018). SceneCut: joint geometric and object segmentation for indoor scenes. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3213-3220). Brisbane, Australia: IEEE.
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2018 Morrison, D., Tow, A., McTaggart, M., Smith, R., Kelly-Boxall, N., Wade-Mccue, S., . . . Leitner, J. (2018). Cartman: the low-cost Cartesian manipulator that won the Amazon Robotics Challenge. In 2018 IEEE International Conference on Robotics and Automation (ICRA) Vol. abs/1709.06283 (pp. 7757-7764). Brisbane, Australia: IEEE.
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2018 Milan, A., Pham, T., Vijay, K., Morrison, D., Tow, A. W., Liu, L., . . . Leitner, J. (2018). Semantic segmentation from limited training data. In 2018 IEEE International Conference on Robotics and Automation (ICRA) Vol. abs/1709.07665 (pp. 1908-1915). online: IEEE.
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2018 Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., . . . Hengel, A. V. D. (2018). Vision-and-language navigation: interpreting visually-grounded navigation instructions in real environments. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) Vol. abs/1711.07280 (pp. 3674-3683). Salt Lake City, UT: IEEE.
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2018 Ma, C., Shen, C., Dick, A., Wu, Q., Wang, P., Van Den Hengel, A., & Reid, I. (2018). Visual Question Answering with memory-augmented network. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 6975-6984). Salt Lake City, Utah: IEEE.
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2018 Zhuang, B., Wu, Q., Shen, C., Reid, I., & Van Den Hengel, A. (2018). HCVRD: A benchmark for large-scale human-centered visual relationship detection. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 7631-7638). New Orleans: Association for the Advancement of Artificial Intelligence.
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2018 Rezatofighi, H., Milan, A., Shi, Q., Dick, A., & Reid, I. (2018). Joint learning of set cardinality and state distribution. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 3968-3975). online: AAAI.
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2018 Wu, Q., Wang, P., Shen, C., Reid, I., & Hengel, A. (2018). Are you talking to me? Reasoned visual dialog generation through adversarial learning. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 6106-6115). Salt Lake City, UT: IEEE.
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2018 Felix, R., Vijay Kumar, B., Reid, I., & Carneiro, G. (2018). Multi-modal cycle-consistent generalized zero-shot learning. In Computer Vision - ECCV 2018: proceedings, part VI Vol. 11210 LNCS (pp. 21-37). Munich: Springer.
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2018 Pham, T., Vijay Kumar, B., Do, T., Carneiro, G., & Reid, I. (2018). Bayesian semantic instance segmentation in open set world. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision - ECCV 2018 15th European Conference: Proceedings, Part I Vol. 11214 LNCS (pp. 3-18). Munich: Springer.
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2018 Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2018). Towards effective low-bitwidth convolutional neural networks. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 7920-7928). Piscataway, NJ.: IEEE.
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2018 Zhuang, B., Wu, Q., Shen, C., Reid, I., & van den Hengel, A. (2018). Parallel attention: a unified framework for visual object discovery through dialogs and queries. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 4252-4261). Salt Lake City, UT: IEEE.
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2018 Weerasekera, C. S., Dharmasiri, T., Garg, R., Drummond, T., & Reid, I. (2018). Just-in-time reconstruction: Inpainting sparse maps using single view depth predictors as priors. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4977-4984). Piscataway, NJ.: IEEE.
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2018 Zhan, H., Garg, R., Weerasekera, C. S., Li, K., Agarwal, H., & Reid, I. M. (2018). Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 340-349). Piscataway, NJ.: IEEE.
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2018 Shen, T., Lin, G., Shen, C., & Reid, I. (2018). Bootstrapping the performance of webly supervised semantic segmentation. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 1363-1371). Piscataway, NJ.: IEEE.
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2017 Ji, P., Li, H., Dai, Y., & Reid, I. (2017). "Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views. In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017) Vol. 2017-October (pp. 929-937). Piscataway, NJ: IEEE.
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2017 Ji, P., T. Zhang., H. Li., M. Salzmann., & Reid, I. (2017). Deep subspace clustering networks. In I. Guyon, U. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 30 (NIPS 2017): proceedings Vol. 2017-December (pp. 1-10). Long Beach, CA: Neural Information Processing Systems Foundation.
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2017 Kim, J., Latif, Y., & Reid, I. (2017). RRD-SLAM: Radial-distorted rolling-shutter direct SLAM. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA2017) (pp. 5148-5154). Singapore: IEEE.
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2017 Maicas, G., Carneiro, G., Bradley, A., Nascimento, J., & Reid, I. (2017). Deep reinforcement learning for active breast lesion detection from DCE-MRI. In M. Descoteaux, L. Maier-Hein, A. Franz, P. Jannin, D. Collins, & S. Duchesne (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2017: 20th International Conference. Proceedings, Part III Vol. 10435 LNCS (pp. 665-673). Quebec City, Canada: Springer.
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2017 Milan, A., Rezatofighi, S., Garg, R., Dick, A., & Reid, I. (2017). Data-driven approximations to NP-hard problems. In Proceedings of the 31st AAAI Conference on Artificial Intelligence, AAAI 2017 (pp. 1453-1459). San Francisco: AAAI.
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2017 Li, J., Zhan, H., Chen, B., Reid, I., & Lee, G. (2017). Deep learning for 2D scan matching and loop closure. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Vol. 2017-September (pp. 763-768). Vancouver, Canada: IEEE.
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2017 Zhuang, B., Liu, L., Shen, C., & Reid, I. (2017). Towards context-aware interaction recognition for visual relationship detection. In Proceedings 2017 IEEE International Conference on Computer Vision ICCV 2017 Vol. 2017-October (pp. 589-598). Venice, Italy: IEEE.
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2017 Johnston, A., Garg, R., Carneiro, G., Reid, I., & van den Hengel, A. (2017). Scaling CNNs for high resolution volumetric reconstruction from a single image. In Proceedings of the IEEE International Conference on Computer Vision Workshop (ICCVW 2017) Vol. 2018-January (pp. 930-939). Piscataway, NJ: IEEE.
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2017 Liu, C., Yao, R., Rezatofighi, S., Reid, I., & Shi, Q. (2017). Multi-object model-free tracking with joint appearance and motion inference. In Y. Guo, H. Li, W. Cai, M. Murshed, Z. Wang, J. Gao, & D. Feng (Eds.), Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) Vol. 2017-December (pp. 1-8). Piscataway, NJ: IEEE.
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2017 Milan, A., Rezatofighi, H., Dick, A., Reid, I., & Schindler, K. (2017). Online multi-target tracking using recurrent neural networks. In Proceedings of 31st AAAI Conference on Artificial Intelligence and the 29th Innovative Applications of Artificial Intelligence Conference (pp. 4225-4232). San Francisco: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
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2017 McMahon, S., Shen, T., Sünderhauf, N., Reid, I., Shen, C., & Milford, M. (2017). Auxiliary tasks to improve trip hazard affordance detection on construction sites. In Australasian Conference on Robotics and Automation, ACRA Vol. 2017-December (pp. 124-132). Online: Australasian Robotics and Automation Association.
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2017 Khosravian, A., Chin, T., Reid, I., & Mahony, R. (2017). A discrete-time attitude observer on SO(3) for vision and GPS fusion. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation Vol. 0 (pp. 5688-5695). Singapore: IEEE.
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2016 Pham, T., Eich, M., Reid, I., & Wyeth, G. (2016). Geometrically consistent plane extraction for dense indoor 3D maps segmentation. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016) Vol. 2016-November (pp. 4199-4204). Daejeon, SOUTH KOREA: IEEE.
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2016 Cadena, C., Latif, Y., & Reid, I. (2016). Measuring the performance of single image depth estimation methods. In Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems Vol. 2016-November (pp. 4150-4157). Daejeon, South Korea: IEEE.
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2016 Ge, Z., McCool, C., Sanderson, C., Wang, P., Liu, L., Reid, I., & Corke, P. (2016). Exploiting temporal information for DCNN-based fine-grained object classification. In A. Liew, B. Lovell, C. Fookes, J. Zhou, Y. Gao, M. Blumenstein, & Z. Wang (Eds.), Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016) (pp. 442-447). Gold Coast, AUSTRALIA: IEEE.
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2016 Kim, J., Cadena, C., & Reid, I. (2016). Direct semi-dense SLAM for rolling shutter cameras. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation Vol. 2016-June (pp. 1308-1315). Stockholm, Sweden: IEEE.
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2016 Zhuang, B., Lin, G., Shen, C., & Reid, I. (2016). Fast training of triplet-based deep binary embedding networks. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 5955-5964). Las Vegas, NV: IEEE.
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2016 Lin, G., Shen, C., Van Den Hengel, A., & Reid, I. (2016). Efficient piecewise training of deep structured models for semantic segmentation. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) Vol. 2016-December (pp. 3194-3203). Las Vegas, NV: IEEE.
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2016 Vijay Kumar, B., Carneiro, G., & Reid, I. (2016). Learning local image descriptors with deep siamese and triplet convolutional networks by minimizing global loss functions. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) Vol. 2016-December (pp. 5385-5394). Las Vegas, NV: IEEE.
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2016 Garg, R., Vijay Kumar, B., Carneiro, G., & Reid, I. (2016). Unsupervised CNN for single view depth estimation: geometry to the rescue. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Proceedings of the 14th European Conference on Computer Vision Vol. 9912 LNCS (pp. 740-756). Amsterdam, Netherlands: Springer International Publishing.
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2015 Salas, M., Latif, Y., Reid, I., & Montiel, J. (2015). Trajectory alignment and evaluation in SLAM: Horn’s method vs alignment on the manifold. In Proceedings of Robotics: Science and Systems Workshop: The problem of mobile sensors (pp. 1-3). Rome, Italy: Robotics: Science and Systems.
2015 Cadena, C., Dick, A., & Reid, I. (2015). A fast, modular scene understanding system using context-aware object detection. In Proceedings of IEEE International Conference on Robotics and Automation Vol. 2015-June (pp. 4859-4866). Seattle, WA: IEEE.
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2015 Milford, M., Lowry, S., Sunderhauf, N., Shirazi, S., Pepperell, E., Upcroft, B., . . . Reid, I. (2015). Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition. In IEEE Conference on Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2015-October (pp. 18-25). Boston, MA: IEEE.
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2015 Eriksson, A., Pham, T., Chin, T., & Reid, I. (2015). The k-support norm and convex envelopes of cardinality and rank. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 3349-3357). Boston, MA: IEEE.
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2015 Lin, G., Shen, C., Reid, I., & Van Den Hengel, A. (2015). Deeply learning the messages in message passing inference. In C. Cortes, N. Lawrence, D. Lee, M. Sugiyama, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 28: 29th Annual Conference on Neural Information Processing Systems 2015 Vol. 2015-January (pp. 361-369). Montreal: Neural Information Processing Systems.
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2014 Segal, A. V., & Reid, I. D. (2014). Hybrid Inference Optimization for robust pose graph estimation. In IROS 2014 Conference Digest : IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 2675-2682). Chicago, USA: IEEE.
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2014 Cremers, D., Reid, I., Saito, H., & Yang, M. H. (2014). Computer Vision-ACCV 2014:12th Asian Conference on Computer Vision Singapore, Singapore, November 1–5, 2014 Revised Selected Papers, Part I. In D. Cremers, I. Reid, H. Saito, & M. -H. Yang (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 9003. Springer International Publishing.
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2013 Prisacariu, V., Segal, A., & Reid, I. (2013). Simultaneous monocular 2D segmentation, 3D pose recovery and 3D reconstruction. In K. Lee, Y. Matsushita, J. Rehg, & Z. Hu (Eds.), Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I Vol. 7724 LNCS (pp. 593-606). Berlin Heidelberg: Springer-Verlag.
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2013 Dame, A., Prisacariu, V., Ren, C., & Reid, I. (2013). Dense reconstruction using 3D object shape priors. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1288-1295). United States of America: IEEE.
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2012 Ren, C., & Reid, I. (2012). A unified energy minimization framework for model fitting in depth. In A. Fusiello, V. Murino, & R. Cucchiara (Eds.), Computer Vision - ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part II Vol. 7584 LNCS (pp. 72-82). Germany: Springer Berlin Heidelberg.
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2012 Carrillo, H., Reid, I., & Castellanos, J. (2012). On the comparison of uncertainty criteria for active SLAM. In 2012 IEEE International Conference on Robotics and Automation, RiverCentre, Saint Paul, Minnesota, USA, May 14-18, 2012 (pp. 2080-2087). USA: IEEE.
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2011 Ren, C. Y., Prisacariu, V. A., & Reid, I. (2011). Regressing local to global shape properties for online segmentation and tracking. In J. Hoey, S. McKenna, & E. Trucco (Eds.), Proceedings of the British Machine Vision Conference 2011 (pp. 11.1-11.10). Dundee, Scotland: BMVA Press.
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2010 Sibley, G., Mei, C., Reid, I., & Newman, P. (2010). Planes, trains and automobiles - autonomy for the modern robot. In 2010 IEEE International Conference on Robotics and Automation (ICRA) (pp. 285-292). USA: IEEE.
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2009 Flint, A., Reid, I., & Murray, D. (2009). Learning texton models for real-time scene context. In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Cvpr Workshops 2009 (pp. 41-48). Miami Beach, FL: IEEE.
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2009 Ellis, D., Sommerlade, E., & Reid, I. (2009). Modelling pedestrian trajectory patterns with Gaussian processes. In 2009 IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), (pp. 1229-1234). USA: IEEE.
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2008 Mei, C., & Reid, I. (2008). Modeling and generating complex motion blur for real-time tracking. In 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12 (pp. 1499-1506). Anchorage, AK: IEEE.
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2008 Bibby, C., & Reid, I. (2008). Simultaneous localisation and mapping in dynamic environments (SLAMIDE) with reversible data association. In Proceedings of Robotics: Science and Systems Vol. 3 (pp. 105-112). Atlanta: The MIT Press.
DOI Scopus11
2008 Benfold, B., & Reid, I. D. (2008). Colour Invariant Head Pose Classification in Low Resolution Video.. In BMVC (pp. 1-10).
2008 Mei, C., & Reid, I. (2008). Modeling and generating complex motion blur for real-time tracking. In IEEE Conference on Computer Vision and Pattern Recognition, 2008 (CVPR 2008) (pp. 1-8). USA: IEEE.
DOI Scopus33
2008 Sommerlade, E., & Reid, I. (2008). Information-theoretic active scene exploration. In IEEE Conference on Computer Vision and Pattern Recognition, 2008 (CVPR 2008) (pp. 1-7). USA: IEEE.
DOI Scopus45
2008 Shahrokni, A., Mei, C., Torr, P., & Reid, I. (2008). From visual query to visual portrayal. In M. Everingham, C. Needham, & R. Fraile (Eds.), Proceedings of the British Machine Vision Conference 2008 (pp. 117.1-117.10). UK: BMVA Press.
DOI Scopus3
2008 Benfold, B., & Reid, I. (2008). Colour invariant head pose classification in low resolution video. In M. Everingham, C. Needham, & R. Fraile (Eds.), Proceedings of the British Machine Vision Conference 2008 (pp. 49.1-49.10). UK: BMVA Press.
DOI Scopus43
2008 Breitenstein, M., Sommerlade, E., Leibe, B., Van Gool, L., & Reid, I. (2008). Probabilistic parameter selection for learning scene structure from video. In M. Everingham, C. Needham, & R. Fraile (Eds.), Proceedings of the British Machine Vision Conference 2008 (pp. 32.1-32.10). UK: BMVA Press.
DOI Scopus12
2008 Sommerlade, E., & Reid, I. (2008). Influence of zoom selection on a Kalman filter. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. (IROS 2008). (pp. 2565-2571). USA: IEEE.
DOI Scopus1
2008 Williams, B., Cummins, M., Neira, J., Newman, P., Reid, I., & Tardos, J. (2008). An image-to-map loop closing method for monocular SLAM. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. (IROS 2008). (pp. 2053-2059). USA: IEEE.
DOI Scopus60 WoS29
2008 Bibby, C., & Reid, I. (2008). Robust real-time visual tracking using pixel-wise posteriors. In D. Forsyth, P. Torr, & A. Zisserman (Eds.), Computer Vision - ECCV 2008: 10th European Conference on Computer Vision, Proceedings, Part II Vol. 5303 LNCS (pp. 831-844). Germany: Springer Berlin Heidelberg.
DOI Scopus131 WoS113
2008 Zhao, C., Knight, A., & Reid, I. (2008). Target tracking using mean-shift and affine structure. In 19th International Conference on Pattern Recognition, 2008. (ICPR 2008) (pp. 1-5). USA: IEEE.
DOI Scopus14
2008 Baiget, P., Sommerlade, E., Reid, I., & Gonzalez, J. (2008). Finding prototypes to estimate trajectory development in outdoor scenarios. In J. Gonzalez, T. Moeslund, & L. Wang (Eds.), Tracking Humans for the Evaluation of their Motion in Image Sequences: First International Workshop, THEMIS’2008 Leeds, United Kingdom, September 2008 (pp. 27-34). Spain: THEMIS.
2008 Sommerlade, E., & Reid, I. (2008). Cooperative surveillance of multiple targets using mutual information. In Proceedings of the ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2) (pp. 1-12). France: ECCV.
2008 Patron-Perez, A., Sommerlade, E., & Reid, I. (2008). Action recognition using shared motion parts. In The Eighth IEEE International Workshop on Visual Surveillance - VS2008, Marseille: France (2008) (pp. 1-8). USA: IEEE.
2008 Sommerlade, E., & Reid, I. (2008). Information-theoretic decision making for exploration of dynamic scenes. In Proceedings of the 5th International Workshop on Attention in Cognitive Systems (WAPCV) Vol. 27.
2008 Shahrokni, A., Mei, C., Torr, P. H. S., & Reid, I. D. (2008). From Visual Query to Visual Portrayal.. In BMVC (pp. 1-10).
2008 Woodford, O. J., Torr, P. H. S., Reid, I. D., & Fitzgibbon, A. W. (2008). Global stereo reconstruction under second order smoothness priors. In 26th IEEE Conference on Computer Vision and Pattern Recognition Cvpr (pp. 2570-+). Anchorage, AK: IEEE.
DOI Scopus115 WoS3
2007 Clemente, L. A., Davison, A. J., Reid, I. D., Neira, J., & Tardós, J. D. (2007). Mapping Large Loops with a Single Hand-Held Camera.. In Robotics: Science and Systems Vol. 2 (pp. 297-304). Atlanta, USA: Robotics: Science and Systems Foundation.
DOI Scopus18
2007 Williams, B., Klein, G., & Reid, I. (2007). Real-time SLAM relocalisation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1-8). IEEE.
DOI Scopus207
2007 Patron-Perez, A., & Reid, I. (2007). A probabilistic framework for recognizing similar actions using spatio-temporal features. In Bmvc 2007 Proceedings of the British Machine Vision Conference 2007 (pp. 8.1-8.10). British Machine Vision Association.
DOI Scopus11
2007 Woodford, O. J., Reid, I. D., Torr, P. H. S., & Fitzgibbon, A. W. (2007). On new view synthesis using multiview stereo. In Bmvc 2007 Proceedings of the British Machine Vision Conference 2007 (pp. 110.1-110.10). British Machine Vision Association.
DOI Scopus25
2007 Tresadern, P., & Reid, I. (2007). An evaluation of shape descriptors for image retrieval in Human Pose Estimation. In Bmvc 2007 Proceedings of the British Machine Vision Conference 2007 (pp. 65.1-65.10). British Machine Vision Association.
DOI Scopus6
2007 Woodford, O. J., Reid, I. D., & Fitzgibbon, A. W. (2007). Efficient new-view synthesis using pairwise dictionary priors. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1-8). IEEE.
DOI Scopus16
2007 Williams, B., Smith, P., & Reid, I. (2007). Automatic relocalisation for a single-camera simultaneous localisation and mapping system. In Proceedings IEEE International Conference on Robotics and Automation (pp. 2784-2790). Rome, ITALY: IEEE.
DOI Scopus36 WoS21
2007 Williams, B., Klein, G., & Reid, I. (2007). Real-time SLAM relocalisation. In 2007 IEEE 11TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1-6 (pp. 2244-2251). Rio de Janeiro, BRAZIL: IEEE.
WoS13
2007 Woodford, O. J., Reid, I. D., & Fitzgibbon, A. W. (2007). Efficient new-view synthesis using pairwise dictionary priors. In 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 (pp. 821-+). Minneapolis, MN: IEEE.
2006 Smith, P., Reid, I., & Davison, A. (2006). Real-time monocular SLAM with straight lines. In Bmvc 2006 Proceedings of the British Machine Vision Conference 2006 Vol. 1 (pp. 17-26).
Scopus196
2006 Rowe, D., Reid, I., Gonzàlez, J., & Villanueva, J. J. (2006). Unconstrained multiple-people tracking. In K. Franke, K. R. Muller, B. Nickolay, & R. Schafer (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4174 LNCS (pp. 505-514). Fraunhofer Inst IPK, Berlin, GERMANY: SPRINGER-VERLAG BERLIN.
DOI Scopus14 WoS6
2006 Robertson, N., & Reid, I. (2006). Estimating gaze direction from low-resolution faces in video. In A. Leonardis, H. Bischof, & A. Pinz (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 3952 LNCS (pp. 402-415). Graz, AUSTRIA: SPRINGER-VERLAG BERLIN.
DOI Scopus40 WoS31
2006 Robertson, N., Reid, I., & Brady, M. (2006). Behaviour recognition and explanation for video surveillance. In The Institution of Engineering and Technology Conference on Crime and Security. IET Digital Library.
2006 Woodford, O. J., Reid, I. D., Torr, P. H. S., & Fitzgibbon, A. W. (2006). Fields of experts for image-based rendering. In Bmvc 2006 Proceedings of the British Machine Vision Conference 2006 Vol. 3 (pp. 1109-1118).
Scopus26
2006 Bibby, C., & Reid, I. (2006). Fast feature detection with a graphics processing unit implementation. In Proc. International Workshop on Mobile Vision.
2005 Bibby, C., & Reid, I. (2005). Visual tracking at sea. In Proceedings IEEE International Conference on Robotics and Automation Vol. 2005 (pp. 1841-1846). SPAIN, Barcelona: IEEE.
DOI Scopus16 WoS10
2005 Tresadern, P., & Reid, I. (2005). Articulated structure from motion by factorization. In C. Schmid, S. Soatto, & C. Tomasi (Eds.), Proceedings 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Cvpr 2005 Vol. II (pp. 1110-1115). San Diego, CA: IEEE COMPUTER SOC.
DOI Scopus64 WoS38
2005 Robertson, N., & Reid, I. (2005). Behaviour understanding in video: A combined method. In Proceedings of the IEEE International Conference on Computer Vision Vol. I (pp. 808-815). PEOPLES R CHINA, Beijing: IEEE COMPUTER SOC.
DOI Scopus56 WoS20
2005 Reid, I., & Connor, K. (2005). Multiview segmentation and tracking of dynamic occluding layers. In Bmvc 2005 Proceedings of the British Machine Vision Conference 2005 (pp. 91.1-91.10). British Machine Vision Association.
DOI Scopus3
2005 Robertson, N., Reid, I., & Brady, J. (2005). What are you looking at? Gaze estimation in medium-scale images. In Proceedings of the HAREM Workshop (in assoc. with BMVC), Oxford, UK Vol. 9.
2004 Tresadern, P., & Reid, I. (2004). Uncalibrated and unsynchronized human motion capture: A stereo factorization approach. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1 (pp. I128-I134).
Scopus25
2004 Fei, H., & Reid, I. D. (2004). Dynamic Classifier for Non-rigid Human motion analysis.. In BMVC (pp. 1-10).
2004 Molton, N., Davison, A. J., & Reid, I. D. (2004). Locally Planar Patch Features for Real-Time Structure from Motion.. In BMVC (pp. 1-10).
2004 Fei, H., & Reid, I. (2004). Joint bayes filter: A hybrid tracker for non-rigid hand motion recognition. In European Conference on Computer Vision (pp. 497-508). Springer Berlin/Heidelberg.
2004 Tresadern, P., & Reid, I. (2004). Uncalibrated and unsynchronized human motion capture - A stereo factorization approach. In PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1 (pp. 128-134). Washington, DC: IEEE COMPUTER SOC.
WoS11
2003 Knight, J., Zisserman, A., & Reid, I. (2003). Linear auto-calibration for ground plane motion. In 2003 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS (pp. 503-510). WI, MADISON: IEEE COMPUTER SOC.
WoS11
2003 Fei, H., & Reid, I. (2003). Probabilistic tracking and recognition of non-rigid hand motion. In IEEE International Workshop on Analysis and Modeling of Faces and Gestures, AMFG 2003 (pp. 60-67).
Scopus8
2003 Knight, J., Zisserman, A., & Reid, I. (2003). Linear auto-calibration for ground plane motion. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1 (pp. I/510).
Scopus26
2003 Connor, K. R., & Reid, I. D. (2003). A Multiple View Layered Representation for Dynamic Novel View Synthesis.. In BMVC (pp. 1-10).
2003 Tresadern, P. A., & Reid, I. D. (2003). Synchronizing Image Sequences of Non-Rigid Objects.. In BMVC Vol. 2.
2002 Connor, K. R., & Reid, I. D. (2002). Novel View Specification and Synthesis.. In BMVC (pp. 1-10).
2001 Knight, J., Davison, A., & Reid, I. (2001). Towards constant time SLAM using postponement. In IEEE International Conference on Intelligent Robots and Systems Vol. 1 (pp. 405-413). MAUI, HI: IEEE.
Scopus50 WoS18
2001 Deutscher, J., Davison, A., & Reid, I. (2001). Automatic partitioning of high dimensional search spaces associated with articulated body motion capture. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2 (pp. II669-II676).
Scopus109
2001 Deutscher, J., Davison, A., & Reid, I. (2001). Automatic partitioning of high dimensional search spaces associated with articulated body motion capture. In A. Jacobs, & T. Baldwin (Eds.), 2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS (pp. 669-676). HI, KAUAI: IEEE COMPUTER SOC.
WoS62
2000 Deutscher, J., Blake, A., & Reid, I. (2000). Articulated body motion capture by annealed particle filtering. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2 (pp. 126-133). SC, HILTON HEAD ISL: IEEE COMPUTER SOC.
Scopus700 WoS240
2000 Knight, J., & Reid, I. (2000). Binocular self-alignment and calibration from planar scenes. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 1843 (pp. 462-476). Springer Berlin Heidelberg.
DOI Scopus7
2000 Baumela, L., Agapito, L., Bustos, P., & Reid, I. (2000). Motion estimation using the differential epipolar equation. In Pattern Recognition, 2000. Proceedings. 15th International Conference on Vol. 3 (pp. 840-843). IEEE.
2000 Knight, J., & Reid, I. (2000). Self-calibration of a stereo rig in a planar scene by data combination. In A. Sanfeliu, J. J. Villanueva, M. Vanrell, R. Alquezar, J. O. Eklundh, & Y. Aloimonos (Eds.), Proceedings International Conference on Pattern Recognition Vol. 15 (pp. 411-414). BARCELONA, SPAIN: IEEE COMPUTER SOC.
Scopus13 WoS5
2000 Knight, J., & Reid, I. (2000). Active visual alignment of a mobile stereo camera platform. In Proceedings IEEE International Conference on Robotics and Automation Vol. 4 (pp. 3203-3208).
Scopus11
1999 Criminisi, A., Reid, I., & Zisserman, A. (1999). Single view metrology. In Proceedings of the IEEE International Conference on Computer Vision Vol. 1 (pp. 434-441). IEEE.
DOI Scopus115
1999 Hartley, R. I., Hayman, E., de Agapito, L., & Reid, I. (1999). Camera calibration and the search for infinity. In Proceedings of the IEEE International Conference on Computer Vision Vol. 1 (pp. 510-517).
Scopus105
1998 Murray, D. W., Reid, I. D., & Thompson, R. L. (1998). Real-time Visual Recovery of Pose using Line Tracking in Multiple Cameras.. In BMVC (pp. 1-11).
1998 Reid, I. D., & North, A. (1998). 3D Trajectories from a Single Viewpoint using Shadows.. In BMVC Vol. 50 (pp. 51-52).
1998 Criminisi, A., Reid, I., & Zisserman, A. (1998). Duality, rigidity and planar parallax. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 1407 (pp. 846-861). Springer Berlin Heidelberg.
DOI Scopus32
1998 de Agapito, L., Hayman, E., & Reid, I. D. (1998). Self-Calibration of a Rotating Camera with Varying Intrinsic Parameters.. In BMVC (pp. 1-10).
1996 Murray, D. W., Reid, I. D., & Davison, A. J. (1996). Steering and Navigation Behaviours Using Fixation.. In BMVC (pp. 1-10).
1996 Hayman, E., Reid, I. D., & Murray, D. W. (1996). Zooming while Tracking Using Affine Transfer.. In BMVC (pp. 1-10).
1996 Reid, I., & Zisserman, A. (1996). Goal-directed video metrology. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 1065 (pp. 648-658). Springer Berlin Heidelberg.
DOI Scopus23
1995 Zisserman, A., Beardsley, P., & Reid, I. (1995). Metric calibration of a stereo rig. In Proceedings of the IEEE Workshop on Representation of Visual Scenes (pp. 93-100).
Scopus80
1995 Davison, A. J., Reid, I. D., & Murray, D. W. (1995). The Active Camera as a Projective Pointing Device.. In BMVC (pp. 1-10).
1995 Fairley, S. M., Reid, I. D., & Murray, D. W. (1995). Transfer of fixation for an active stereo platform via affine structure recovery. In IEEE International Conference on Computer Vision (pp. 1100-1105). MIT, CAMBRIDGE, MA: I E E E, COMPUTER SOC PRESS.
DOI Scopus11 WoS9
1995 Beardsley, P. A., Reid, I. D., Zisserman, A., & Murray, D. W. (1995). Active visual navigation using non-metric structure. In IEEE International Conference on Computer Vision (pp. 58-64). MIT, CAMBRIDGE, MA: I E E E, COMPUTER SOC PRESS.
DOI Scopus40 WoS27
1995 Li, F., Brady, J. M., Reid, I., & Hu, H. (1995). Parallel image processing for object tracking using disparity information. In Second Asian Conference on Computer Vision ACCV’95 (pp. 762-766).
1994 Reid, I. D., Murray, D. W., & Bradshaw, K. J. (1994). Towards active exploration of static and dynamic scene geometry. In Proceedings IEEE International Conference on Robotics and Automation (pp. 718-723). SAN DIEGO, CA: I E E E, COMPUTER SOC PRESS.
DOI Scopus7 WoS6
1994 Fairley, S. M., Reid, I. D., & Murray, D. W. (1994). Stereo Fixation using Affne Transfer.. In BMVC (pp. 1-10).
1993 Murray, D. W., McLauchlan, P. F., Reid, I. D., & Sharkey, P. M. (1993). Reactions to peripheral image motion using a head/eye platform. In 1993 IEEE 4th International Conference on Computer Vision (pp. 403-411). HUMBOLDT UNIV, BERLIN, GERMANY: I E E E, COMPUTER SOC PRESS.
Scopus42
1993 Reid, I. D., & Murray, D. W. (1993). Tracking foveated corner clusters using affine structure. In 1993 IEEE 4th International Conference on Computer Vision (pp. 76-83). HUMBOLDT UNIV, BERLIN, GERMANY: I E E E, COMPUTER SOC PRESS.
Scopus29
1993 Reid, I. D., Bradshaw, K. J., McLauchlan, P. F., Sharkey, P. M., & Murray, D. W. (1993). From saccades to smooth pursuit: Real-time gaze control using motion feedback. In undefined (pp. 1013-1020). YOKOHAMA, JAPAN: I E E E.
Scopus10 WoS2
1993 Reid, I. D., & Brady, J. M. (1993). Recognition of object classes from range data. In 1993 IEEE 4th International Conference on Computer Vision (pp. 302-307). HUMBOLDT UNIV, BERLIN, GERMANY: I E E E, COMPUTER SOC PRESS.
Scopus2
1992 McLauchlan, P. F., Reid, I., & Murray, D. W. (1992). Coarse image motion for saccade control. In British Machine Vision Conference (pp. 357-366).
1991 Reid, I., & Brady, J. M. (1991). Recognizing Parameterized Objects Using 3D Edges. In Proceedings of the British Machine Conference.
1991 Reid, I., & Brady, J. M. (1991). Recognition of parametrised models from 3d data. In Active and Passive Techniques for 3-D Vision, IEE Colloquium on (pp. 2-1). IET.
1990 Reid, I. (1990). RECOGNITION OF PARAMETRISED MODELS FROM 3D DATA. In Proceedings of Iapr Workshop on Machine Vision Applications Mva 1990 (pp. 347-350).
Scopus1
- Hayman, E., Reid, I. D., & Murray, D. W. (n.d.). Zooming while Tracking using Affine Transfer. In Proceedings of the 7th British Machine Vision Conference (pp. 395-404).

Year Citation
2015 Cremers, D., Reid, I., Saito, H., & Yang, M. H. (2015). Preface. Poster session presented at the meeting of Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II.
2015 Cremers, D., Reid, I., Saito, H., & Yang, M. H. (2015). Preface. Poster session presented at the meeting of Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V.
2014 Cremers, D., Reid, I., Saito, H., & Yang, M. H. (2014). Preface. Poster session presented at the meeting of Computer Vision -- ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I.
2014 Reid, I. (2014). Towards semantic visual SLAM. Poster session presented at the meeting of Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on. IEEE.

Year Citation
2011 Ren, C. Y., & Reid, I. (2011). gSLIC: a real-time implementation of SLIC superpixel segmentation. Department of Engineering Science, University of Oxford.
2009 Prisacariu, V., Reid, I., & others. (2009). fastHOG-a real-time GPU implementation of HOG (2310/09). Department of Engineering Science, University of Oxford.
2004 Molton, N. D., Davison, A., & Reid, I. (2004). Parameterisation and probability in image alignment (OUEL 2266/03). Dept of Engineering Science, University of Oxford.

Year Citation
1991 REID, I. D. (1991). RECOGNIZING PARAMETERIZED OBJECTS FROM RANGE DATA (ROBOTICS). (PhD Thesis).
1991 Reid, I. D. (1991). Recognizing parameterized objects from range data.. (PhD Thesis).

Year Citation
- Hodgson, J., Pham, T., Koh, L. P., & Reid, I. (n.d.). Drones count wildlife more accurately and precisely than humans: semi-automated aerial image counting approach - archived source code and dataset [Computer Software].
DOI

 

 

Title

Dates

AU$K

 

1

DAAD Travel

Multi-target tracking in crowded scenes

2017-2018

25

Lead Chief Investigator

2

ARC LIEF

Computational infrastructure for developing deep machine learning models

2016

384

Lead Chief Investigator

3

DST Group

Scene Understanding from Drone Images of Urban Environments

2016

74

Lead Chief Investigator

4

ARC Linkage Project

Visual sensing for localisation and mapping in mining

2015-2018

360

Lead Chief Investigator, with Dr T-J Chin

5

Cooperative Research Centre

Data to Decisions

2014-2019

5600

Chief Investigator, with Prof A. Van den Hengel (who is Adelaide node director), UniSA, UNSW, Deakin.  Total grant $25M; Total project value including industry contributions, $88M.

6

ARC Centre of Excellence

Robotic Vision

2014-2021

6711

Chief Investigator, Deputy Director and Program Leader, with Peter Corke (Director, QUT), ANU and Monash.  Total grant $25.64M.

7

ARC Laureate Fellowship

Life-long Computer Vision Systems

2013-2018

3700

Lead Chief Investigator

8

ARC Linkage Project

Visual tracking with environmental constraints

2013-2016

525

Chief Investigator, with Dr A. Dick

9

ARC Linkage Project

Accessing Australia’s Photographic History

2013-2015

150

Chief Investigator, with Prof A. Van den Hengel

10

ARC Discovery Project

Recognising and reconstructing objects in real-time from a moving camera

Jan 13 – Dec 15

346

Lead Chief Investigator

11

ARC LIEF

Unlocking large-scale image-based machine learning

Jan 13 – Dec 15

220

Chief Investigator, with Prof A. van den Hengel et al.

1st yr: Small Group Discovery Experience, Numerical Computing, 2015

1st yr: Object Oriented Programming, 2020

3rd yr, Artificial Intelligence, 2013, 2016, 2017, 2018, 2019

4th yr, Computer Vision, 2013, 2015

Master of Data Science (online), Research Methods, 2021

Date Role Research Topic Program Degree Type Student Load Student Name
2023 Principal Supervisor Visual Object Tracking and Modelling for Embodied AI. Doctor of Philosophy Doctorate Full Time Mr Adam William Bethell
2023 Principal Supervisor Visual Object Tracking and Modelling for Embodied AI. Doctor of Philosophy Doctorate Full Time Mr Adam William Bethell
2021 Co-Supervisor Semantic Understanding of 3D Point Clouds Doctor of Philosophy Doctorate Full Time Mr Ryan James Faulkner
2021 Principal Supervisor Investigating and Improving Multi-Agent Collaboration Using Reinforcement Learning Master of Philosophy Master Full Time Mr Ravi Kastanos Hammond
2021 Principal Supervisor Investigating and Improving Multi-Agent Collaboration Using Reinforcement Learning Master of Philosophy Master Full Time Mr Ravi Kastanos Hammond
2021 Co-Supervisor Semantic Understanding of 3D Point Clouds Doctor of Philosophy Doctorate Full Time Mr Ryan James Faulkner
2020 Co-Supervisor Computer Vision and Machine Learning for Navigation and Planning Doctor of Philosophy Doctorate Full Time Mr Sam Bahrami

Date Role Research Topic Program Degree Type Student Load Student Name
2022 - 2025 Principal Supervisor Few-Shot Learning: A Data-centric Approach for Adaptation Doctor of Philosophy under a Jointly-awarded Degree Agreement with Doctorate Full Time Mr Raphael Jean-Marc Lafargue
2022 - 2024 Co-Supervisor Novel View Synthesis in Real-World Scenarios Doctor of Philosophy Master Full Time Mr Jiatong Xia
2022 - 2025 Principal Supervisor Domain Generalisation in Reinforcement Learning Master of Philosophy Master Full Time Mr Adrian John Orenstein
2021 - 2025 Co-Supervisor Vision-Based Pose and Motion Estimation for Planetary Missions Doctor of Philosophy Doctorate Full Time Ms Sofia Ana McLeod
2021 - 2021 Co-Supervisor Relaxed Invariant Representation for Unsupervised Domain Adaptation Master of Philosophy Master Full Time Mr Hossein Askari Lyarjdameh
2020 - 2024 Co-Supervisor Label Efficient Learning for Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Yuyuan Liu
2019 - 2023 Principal Supervisor Lightweight and Motion Guided Neural Network Algorithms for Onboard Drone Detection and Flight Doctor of Philosophy Doctorate Full Time Mr Hamish Christopher Pratt
2019 - 2022 Principal Supervisor Self-supervised Learning of Monocular Depth from Video Doctor of Philosophy Doctorate Full Time Mr Jiawang Bian
2019 - 2024 Principal Supervisor 3D Object Detection for Road Safety at Urban Intersections Doctor of Philosophy Doctorate Full Time Mr Matthew Robert Howe
2018 - 2025 Principal Supervisor Visual Understanding of Social Human Activity Doctor of Philosophy Doctorate Full Time Ms Mahsa Ehsanpour
2017 - 2021 Principal Supervisor Deep Learning for 2D and 3D Scene Understanding Doctor of Philosophy Doctorate Full Time Mr Yu Liu
2017 - 2020 Principal Supervisor Semantic Image Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches Doctor of Philosophy Doctorate Full Time Mr Vladimir Nekrasov
2017 - 2021 Principal Supervisor Object-centric Mapping Doctor of Philosophy Doctorate Full Time Mr Kejie Li
2017 - 2020 Principal Supervisor Self-Supervised Learning for Geometry Doctor of Philosophy Doctorate Full Time Mr Huangying Zhan
2016 - 2020 Principal Supervisor How Geometry Meets Learning in Pose Estimation Doctor of Philosophy Doctorate Full Time Mr Ming Cai
2016 - 2020 Co-Supervisor Bayesian Data Augmentation and Generative Active Learning for Robust Imbalanced Deep Learning Doctor of Philosophy Doctorate Full Time Mr Toan Minh Tran
2016 - 2020 Co-Supervisor Data Augmentation for Multi-domain and Multi-model Generalised Zero-shot Learning Doctor of Philosophy Doctorate Full Time Dr Rafael Felix Alves
2015 - 2018 Co-Supervisor Pre-hoc and Post-hoc Diagnosis and Interpretation of Breast Magnetic Resonance Volumes Doctor of Philosophy Doctorate Full Time Mr Gabriel Maicas Suso
2015 - 2017 Co-Supervisor Sketch Image Recognition Using Deep Features Master of Philosophy Master Full Time Miss Yuchao Jiang
2015 - 2019 Co-Supervisor Context Learning and Weakly Supervised Learning for Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Tong Shen
2015 - 2019 Principal Supervisor Real-Time Structure and Object Aware Semantic SLAM Doctor of Philosophy Doctorate Full Time Mr Mehdi Hosseinzadeh
2014 - 2018 Principal Supervisor Deeply Learned Priors for Geometric Reconstruction Doctor of Philosophy Doctorate Full Time Mr Saroj Weerasekera
2014 - 2018 Co-Supervisor Towards Efficient Deep Neural Networks with Applications to Visual Recognition Doctor of Philosophy Doctorate Full Time Dr Bohan Zhuang

Date Role Committee Institution Country
2016 - 2017 Member Academy of Science Expert Committee on Future Science for Autonomous Systems in Complex Environments Australian Academy of Sciences Australia
2014 - ongoing Member AAS National Committee for Information and Communication Sciences Australian Academy of Sciences Australia

Date Role Membership Country
1992 - ongoing Member Institue of Electrical and Electronic Engineers -

Date Institution Department Organisation Type Country
2013 - 2014 Bristows LLP - - -

Date Role Editorial Board Name Institution Country
2015 - ongoing Associate Editor Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision - -
2013 - ongoing Associate Editor Computer Vision and Image Understanding - -
2011 - ongoing Associate Editor IEEE International Conference on Computer Vision - -
2010 - ongoing Associate Editor IEEE Transactions on Pattern Analysis and Machine Intelligence - -
2008 - 2013 Associate Editor Image and Vision Computing - -
2008 - 2012 Associate Editor IEEE International Conference on Robotics and Automation - -

Date Office Name Institution Country
2018 - ongoing General Chair Asian Conference on Computer Vision -
2014 - ongoing Program Chair Asian Conference on Computer Vision Singapore
2008 - ongoing Area Chair European Conference on Computer Vision France
2002 - ongoing Area Chair European Conference on Computer Vision Denmark

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