Professor Ian Reid

• Journals

  Year	Citation
  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 Scopus6
  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 Scopus15 WoS14
  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
  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 Scopus1
  2021	Doan, A. D., Latif, Y., Chin, T. J., Liu, Y., Ch’ng, S. F., Do, T. T., & Reid, I. (2021). Visual localization under appearance change: filtering approaches. Neural Computing and Applications, 33(13), 7325-7338. DOI Scopus1 WoS2
  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, PP, 13 pages. DOI
  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
  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 Scopus8 WoS6
  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 WoS1
  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, 12 pages. DOI
  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, 1. DOI Scopus3
  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 Scopus19 WoS11
  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 Scopus8 WoS6
  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	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 Scopus34 WoS29 Europe PMC3
  2020	Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I. D., . . . Leal-Taixé, L. (2020). MOT20: A benchmark for multi object tracking in crowded scenes.. CoRR, abs/2003.09003.
  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 Scopus5 WoS3
  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 Scopus9 WoS8
  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 Scopus5 WoS5
  2020	Adeli, V., Adeli, E., Reid, I., Niebles, J., & Rezatofighi, H. (2020). Socially and Contextually Aware Human Motion and Pose Forecasting. IEEE Robotics and Automation Letters, 5(4), 6033-6040. DOI Scopus11 WoS8
  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 Scopus38 WoS34
  2019	Nekrasov, V., Shen, C., & Reid, I. (2019). Light-weight refinenet for real-time semantic segmentation. British Machine Vision Conference 2018, BMVC 2018, abs/1810.03272. Scopus30
  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 Scopus11 WoS7
  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 Scopus10 WoS9
  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 Scopus40 WoS35 Europe PMC4
  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 Scopus180 WoS159
  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 Scopus22 WoS20
  2016	Reid, I. (2016). 12th Asian conference on computer vision. Computer Vision and Image Understanding, 146, 51. DOI
  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 Scopus699 WoS576 Europe PMC34
  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 Scopus1561 WoS1179
  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 Scopus29 WoS21 Europe PMC4
  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 Scopus128 WoS106
  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 Scopus24 WoS18
  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 Scopus125 WoS103 Europe PMC8
  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 Scopus130 WoS101
  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 Scopus16 WoS14
  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 Scopus74 WoS68 Europe PMC5
  2011	Prisacariu, V., & Reid, I. (2011). 3D hand tracking for human computer interaction. Image and Vision Computing, 30(3), 236-250. DOI Scopus39 WoS32
  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 Scopus119 WoS93
  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 Scopus29 WoS26 Europe PMC11
  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 Scopus170 WoS127 Europe PMC14
  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 Scopus33 WoS27
  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 Scopus119 WoS76
  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 Scopus217 WoS158
  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 Scopus14 WoS9
  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 Scopus2584 WoS1918 Europe PMC100
  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 Scopus128 WoS90
  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 Scopus353 WoS266
  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 Scopus2 WoS2
  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 Scopus142 WoS103
  2000	Criminisi, A., Reid, I., & Zisserman, A. (2000). Single view metrology. International Journal of Computer Vision, 40(2), 123-148. DOI Scopus475 WoS335
  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 Scopus153 WoS119
  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., Reid, I., & Davison, A. (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 Scopus70 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., & Beardsley, P. A. (1996). Self-alignment of a binocular robot. Image and Vision Computing, 14(8 SPEC. ISS.), 635-640. DOI Scopus8 WoS3
  1996	Reid, I. D. (1996). Projective calibration of a laser-stripe range finder. Image and Vision Computing, 14(9), 659-666. DOI Scopus62 WoS44
  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
  	Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., . . . Leal-Taixe, L. (n.d.). CVPR19 Tracking and Detection Challenge: How crowded can it get?.

• Books

  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

• Book Chapters

  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 Scopus1
  2014	Wang, M., Lynch, J., & Sohn, H. (2014). Preface. In M. Wang, J. 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 BMVC91 (pp. 355-358). Springer London.

• Conference Papers

  Year	Citation
  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. DOI
  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. DOI Scopus2
  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 (pp. 5978-5988). online: IEEE. DOI
  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 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 (pp. 3606-3614). Headquarters, New York, NY, USA: IEEE. DOI Scopus4 WoS3
  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 Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 Vol. 12966 LNCS (pp. 426-436). Switzerland: Springer International Publishing. DOI Scopus1
  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. DOI
  2020	Pratt, H., Evans, B., Rowntree, T., Reid, I., & Wiederman, S. (2020). Recurrent Motion Neural Network for Low Resolution Drone Detection. In 2020 Digital Image Computing: Techniques and Applications, DICTA 2020 (pp. 1-7). online: IEEE. DOI
  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. DOI
  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. DOI Scopus2
  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. DOI Scopus4
  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. DOI
  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. DOI Scopus5 WoS4
  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. Scopus3
  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. DOI Scopus3 WoS3
  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. DOI Scopus25 WoS20
  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. DOI Scopus3
  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. DOI Scopus18
  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. DOI Scopus14
  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. DOI WoS1
  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. DOI
  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. DOI Scopus4 WoS6
  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 Machine Learning Research Vol. 97 (pp. 6295-6304). Long Beach, CA, USA: PMLR. Scopus6 WoS5
  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. DOI Scopus24 WoS12
  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. DOI Scopus11 WoS1
  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. DOI Scopus2 WoS1
  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. DOI Scopus892 WoS589
  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. DOI Scopus3
  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. DOI Scopus35 WoS27
  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. DOI Scopus8 WoS4
  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. DOI Scopus10 WoS5
  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. Scopus3
  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. Scopus13
  2019	Zhan, H., Weerasekera, C., 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. DOI Scopus10 WoS8
  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 Vol. 2019-May (pp. 2385-2391). Montreal, Canada: IEEE. DOI Scopus17 WoS7
  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. DOI Scopus60 WoS51
  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. 2019-May (pp. 7101-7107). Montreal, Canada: IEEE. DOI Scopus32 WoS29
  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. DOI Scopus18 WoS13
  2019	Hosseinzadeh, M., Li, K., Latif, Y., & Reid, I. (2019). Real-time monocular object-model aware sparse SLAM. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA) Vol. 2019-May (pp. 7123-7129). Piscataway, NJ.: IEEE. DOI Scopus24 WoS19
  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. DOI Scopus52 WoS36
  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. Scopus111 WoS35
  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. DOI Scopus91 WoS52
  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. Scopus110
  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. DOI
  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. DOI Scopus64 WoS50
  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. DOI Scopus15 WoS13
  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. DOI Scopus6 WoS4
  2019	Doan, D., Latif, Y., Chin, T., Liu, Y., Do, 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. DOI Scopus23 WoS12
  2019	Nguyen, A., Tran, Q., Do, T., Reid, I., Caldwell, D., & Tsagarakis, N. (2019). Object captioning and retrieval with natural language. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 2584-2592). online: IEEE. DOI Scopus7 WoS4
  2019	Cai, M., Zhan, H., Weerasekera, C., Li, K., & Reid, I. (2019). Camera relocalization by exploiting multi-view constraints for scene coordinates regression. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 3769-3777). online: IEEE. DOI Scopus3 WoS1
  2018	Lu, X., Ma, C., Ni, B., Yang, X., Reid, I., & Yang, M. (2018). Deep regression tracking with shrinkage loss. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision - ECCV 2018 15th European Conference: Proceedings, Part XIV Vol. 11218 LNCS (pp. 369-386). Munich: Springer. DOI Scopus47 WoS125
  2018	Li, K., Pham, T., Zhan, H., & Reid, I. (2018). Efficient dense point cloud object reconstruction using deformation vector fields. In V. Ferrari (Ed.), Computer Vision - ECCV 2018 : 15th European Conference. Proceedings, Part XII Vol. 11216 LNCS (pp. 508-524). Switzerland: Springer Nature. DOI Scopus3 WoS1
  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. DOI Scopus98 WoS96
  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. DOI Scopus9 WoS7
  2018	Nekrasov, V., Shen, C., & Reid, I. D. (2018). Light-Weight RefineNet for Real-Time Semantic Segmentation. In BMVC (pp. 1-15). Northumbria University, Newcastle upon Tyne: BMVA Press. Scopus10
  2018	Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., . . . Hengel, A. (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. DOI Scopus265 WoS379
  2018	Tran, T., Pham, T., Carneiro, G., Palmer, L., & Reid, I. (2018). A Bayesian data augmentation approach for learning deep models. In Advances in Neural Information Processing Systems 30 (NIPS 2017) Vol. 2017-December (pp. 1-10). Long Beach, CA: Neural Information Processing Systems Foundation. Scopus85 WoS39
  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. DOI Scopus22 WoS17
  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. DOI Scopus50 WoS39
  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. DOI Scopus63 WoS51
  2018	Milan, A., Pham, T., Vijay, K., Morrison, D., Tow, A., 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. DOI Scopus22 WoS15
  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. Scopus17 WoS5
  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. Scopus3 WoS1
  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. DOI Scopus65 WoS31
  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. DOI Scopus94 WoS68
  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. DOI Scopus47 WoS17
  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. DOI Scopus25 WoS18
  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. DOI Scopus87 WoS36
  2018	Pham, T., Do, 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. DOI Scopus22 WoS20
  2018	Weerasekera, C., 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. DOI Scopus12 WoS10
  2018	Zhan, H., Garg, R., Weerasekera, C., Li, K., Agarwal, H., & Reid, I. (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. DOI Scopus310 WoS232
  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. DOI Scopus43 WoS16
  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. Scopus246 WoS143
  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. DOI Scopus10 WoS5
  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. Scopus220 WoS6
  2017	Weerasekera, C., Latif, Y., Garg, R., & Reid, I. (2017). Dense monocular reconstruction using surface normals. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2524-2531). online: IEEE. DOI Scopus17
  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. DOI Scopus4
  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. DOI Scopus48
  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. Scopus1
  2017	Hosseinzadeh, M., Latif, Y., & Reid, I. (2017). Sparse point-plane SLAM. In Australasian Conference on Robotics and Automation, ACRA Vol. 2017-December (pp. 148-155). online: ARAA. Scopus2
  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. DOI Scopus89 WoS62
  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. DOI Scopus26 WoS20
  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. DOI Scopus3
  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. DOI Scopus31 WoS27
  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. Scopus27 WoS12
  2017	Khosravian, A., Chin, T., & Reid, I. (2017). A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation (pp. 6495-6502). Singapore: IEEE. DOI Scopus5
  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. DOI Scopus9
  2017	Shen, T., Lin, G., Liu, L., Shen, C., & Reid, I. (2017). Weakly supervised semantic segmentation based on web image co-segmentation. In British Machine Vision Conference 2017, BMVC 2017 (pp. 1-12). online: BMVC. Scopus19
  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. DOI Scopus544 WoS156
  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. DOI Scopus193 WoS140
  2016	Rezatofighi, S., Milan, A., Zhang, Z., Shi, Q., Dick, A., & Reid, I. (2016). Joint probabilistic matching using m-best solutions. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2016) Vol. 2016-December (pp. 136-145). Las Vegas, NV: IEEE. DOI Scopus20 WoS15
  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. DOI Scopus597 WoS575
  2016	Pham, T., Rezatofighi, S., Reid, I., & Chin, T. (2016). Efficient point process inference for large-scale object detection. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) Vol. 2016-December (pp. 2837-2845). Las Vegas, NV: IEEE. DOI Scopus11 WoS9
  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. DOI Scopus86 WoS63
  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. DOI Scopus49 WoS39
  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. DOI Scopus8 WoS6
  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. DOI Scopus7 WoS2
  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. DOI Scopus25 WoS15
  2016	Cadena, C., Dick, A., & Reid, I. D. (2016). Multi-modal auto-encoders as joint estimators for robotics scene understanding. In Proceedings of Robotics: Science and Systems Vol. 12 (pp. 1-9). Michigan, USA: MIT Press. DOI Scopus60 WoS23
  2016	Snavely, N., Cremers, D., Reid, I., & Fidler, S. (2016). Message from the 3DV 2016 program chairs. In Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016 (pp. xii). IEEE. DOI
  2015	Pham, T., Reid, I., Latif, Y., & Gould, S. (2015). Hierarchical higher-order regression forest fields: an application to 3D indoor scene labelling. In Proceedings of the 2015 IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 2246-2254). Santiago, CHILE: IEEE. DOI Scopus19 WoS15
  2015	Rezatofighi, S., Milan, A., Zhang, Z., Shi, Q., Dick, A., & Reid, I. (2015). Joint Probabilistic Data Association Revisited. In Proceedings of the 2015 IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 3047-3055). Santiago, CHILE: IEEE. DOI Scopus217 WoS152
  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. DOI Scopus38 WoS3
  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. DOI Scopus14 WoS10
  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. Scopus28
  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. DOI Scopus17 WoS10
  2015	Milan, A., Rikke, G., Dick, A., Moeslund, T., & Reid, I. (2015). Improving global multi-target tracking with local updates. In Proceedings of the 13th European Conference on Computer Vision Workshop, Part IIIs Vol. 8927 (pp. 174-190). Zurich, Switzerland: Springer. DOI Scopus10 WoS2
  2015	Milan, A., Leal-Taixé, L., Schindler, K., & Reid, I. (2015). Joint tracking and segmentation of multiple targets. In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 5397-5406). Boston, MA: IEEE. DOI Scopus137 WoS89
  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. DOI Scopus5 WoS4
  2014	2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, IL, USA, September 14-18, 2014 (2014). IEEE.
  2014	Ren, C. Y., Prisacariu, V. A., Kähler, O., Reid, I. D., & Murray, D. W. (2014). 3D tracking of multiple objects with identical appearance using RGB-D input. In Proceedings of 2nd International Conference on 3D Vision, 3DV 2014, Tokyo, Japan, December 8-11, 2014 (pp. 47-54). Tokyo, Japan: IEEE. DOI Scopus16
  2014	2nd International Conference on 3D Vision, 3DV 2014, Tokyo, Japan, December 8-11, 2014 (2014). IEEE.
  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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9003. Springer International Publishing. DOI
  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. DOI Scopus32
  2013	Segal, A., & Reid, I. (2013). Latent data association: Bayesian model selection for multi-target tracking. In Proceedings of the IEEE 2013 International Conference on Computer Vision, ICCV 2013 (pp. 2904-2911). online: IEEE. DOI Scopus38 WoS21
  2013	Ren, C., Prisacariu, V., Murray, D., & Reid, I. (2013). STAR3D: Simultaneous tracking and reconstruction of 3D objects using RGB-D data. In Proceedings of the 2013 IEEE International Conference on Computer Vision, ICCV 2013 (pp. 1561-1568). USA: IEEE Computer Society. DOI Scopus38 WoS25
  2013	Kahler, O., & Reid, I. (2013). Efficient 3D scene labeling using fields of trees. In Proceedings of the IEEE 2013 International Conference on Computer Vision, ICCV 2013 (pp. 3064-3071). online: IEEE. DOI Scopus31 WoS17
  2013	Prisacariu, V., Kahler, O., Murray, D., & Reid, I. (2013). Simultaneous 3D tracking and reconstruction on a mobile phone. In Proceedings of the IEEE International Symposium on Mixed and Augmented Reality 2013 Science and Technology (pp. 89-98). United States: IEEE. DOI Scopus21 WoS16
  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. DOI Scopus110 WoS74
  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. DOI Scopus15 WoS11
  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. DOI Scopus81 WoS64
  2012	Utsumi, Y., Sommerlade, E., Bellotto, N., & Reid, I. (2012). Cognitive active vision for human identification. In Proceedings of the 2012 IEEE International Conference on Robotics and Automation (pp. 1238-1245). Saint Paul, Minnesota, USA: IEEE. DOI Scopus3 WoS3
  2011	Reid, I., Benfold, B., Patron-Perez, A., & Sommerlade, E. (2011). Understanding interactions and guiding visual surveillance by tracking attention. In Computer Vision - ACCV 2010 Workshops: ACCV 2010 International Workshops, Queenstown, New Zealand, November 8-9, 2010, Revised Selected Papers, Part I Vol. 6468 LNCS (pp. 380-389). Germany: Springer Berlin Heidelberg. DOI Scopus7 WoS6
  2011	Prisacariu, V., & Reid, I. (2011). Robust 3D hand tracking for human computer interaction. In 2011 IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011) (pp. 368-375). USA: IEEE. DOI Scopus15
  2011	Sommerlade, E., Benfold, B., & Reid, I. (2011). Gaze directed camera control for face image acquisition. In 2011 IEEE International Conference on Robotics and Automation (pp. 4227-4233). USA: IEEE. DOI Scopus3
  2011	Mei, C., Sommerlade, E., Sibley, G., Newman, P., & Reid, I. (2011). Hidden view synthesis using real-time visual SLAM for simplifying video surveillance analysis. In 2011 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4240-4245). USA: IEEE. DOI Scopus9
  2011	Prisacariu, V., & Reid, I. (2011). Nonlinear shape manifolds as shape priors in level set segmentation and tracking. In 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2185-2192). USA: IEEE. DOI Scopus68
  2011	Benfold, B., & Reid, I. (2011). Stable multi-target tracking in real-time surveillance video. In 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 3457-3464). USA: IEEE. DOI Scopus504
  2011	Prisacariu, V., & Reid, I. (2011). Shared shape spaces. In 2011 IEEE International Conference on Computer Vision (pp. 2587-2594). USA: IEEE. DOI Scopus28 WoS10
  2011	Flint, A., Murray, D., & Reid, I. (2011). Manhattan scene understanding using monocular, stereo, and 3D features. In 2011 IEEE International Conference on Computer Vision (pp. 2228-2235). USA: IEEE. DOI Scopus96 WoS59
  2011	Benfold, B., & Reid, I. (2011). Unsupervised learning of a scene-specific coarse gaze estimator. In 2011 IEEE International Conference on Computer Vision (pp. 2344-2351). USA: IEEE. DOI Scopus52 WoS35
  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. DOI Scopus1
  2010	Hosaka, A., Myo, T., Nagahiro, H., & Nawa, K. (2010). Preface. In Hadron and Nuclear Physics 2009, HNP 2009. Osaka.
  2010	Patron-Perez, A., Marszalek, M., Zisserman, A., & Reid, I. D. (2010). High Five: Recognising human interactions in TV shows.. In BMVC Vol. 1 (pp. 2).
  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. DOI Scopus16 WoS12
  2010	Sommerlade, E., & Reid, I. (2010). Probabilistic surveillance with multiple active cameras. In 2010 IEEE International Conference on Robotics and Automation (ICRA) (pp. 440-445). USA: IEEE. DOI Scopus31 WoS18
  2010	Bibby, C., & Reid, I. (2010). A hybrid SLAM representation for dynamic marine environments. In 2010 IEEE International Conference on Robotics and Automation (ICRA) (pp. 257-264). USA: IEEE. DOI Scopus30 WoS24
  2010	Williams, B., & Reid, I. (2010). On combining visual SLAM and visual odometry. In 2010 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3494-3500). USA: IEEE. DOI Scopus65 WoS42
  2010	Flint, A., Mei, C., Reid, I., & Murray, D. (2010). Growing semantically meaningful models for visual SLAM. In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 467-474). USA: IEEE. DOI Scopus44 WoS27
  2010	Bibby, C., & Reid, I. (2010). Real-time tracking of multiple occluding objects using level sets. In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1307-1314). USA: IEEE. DOI Scopus67 WoS48
  2010	Prisacariu, V., Timofte, R., Zimmerman, K., Reid, I., & Van Gool, L. (2010). Integrating object detection with 3d tracking towards a better driver assistance system. In 20th International Conference on Pattern Recognition (ICPR), 2010 (pp. 3344-3347). USA: IEEE. DOI Scopus38
  2010	Zhao, C., & Reid, I. (2010). Mean-shift visual tracking with NP-Windows density estimates. In Proceedings of the British Machine Vision Conference (BMVC) 2010 (pp. 1-10). United Kingdom: BMVA Press. DOI Scopus1
  2010	Patron-Perez, A., Marszalek, M., Zisserman, A., & Reid, I. (2010). High Five : recognising human interactions in TV shows. In Proceedings of the British Machine Vision Conference (BMVC) 2010 (pp. 1-11). United Kingdom: BMVA Press. DOI Scopus110
  2010	Flint, A., Mei, C., Murray, D., & Reid, I. (2010). A dynamic programming approach to reconstructing building interiors. In Computer Vision – ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V Vol. 6315 LNCS (pp. 394-407). Berlin, Heidelberg: Springer. DOI Scopus21 WoS14
  2010	Sibley, G., Mei, C., Reid, I., & Newman, P. (2010). Adaptive relative bundle adjustment. In J. Trinkle, Y. Matsuoka, & J. Castellanos (Eds.), Proceedings of Robotics: Science and Systems V Vol. 5 (pp. 1-8). Cambridge, Massachusetts: MIT Press. DOI Scopus2
  2009	Benfold, B., & Reid, I. (2009). Guiding visual surveillance by tracking human attention. In Proceedings of the 20th British Machine Vision Conference (pp. 14.1-14.11). United Kingdom: BMVA Press. DOI Scopus74
  2009	Mei, C., Sibley, G., Cummins, M., Newman, P., & Reid, I. (2009). A constant time efficient stereo SLAM system. In Proceedings of the 20th British Machine Vision Conference (pp. 54.1-54.11). United Kingdom: BMVA Press. DOI Scopus81
  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. DOI Scopus93
  2009	Bellotto, N., Sommerlade, E., Benfold, B., Bibby, C., Reid, I., Roth, D., . . . Gonzalez, J. (2009). A distributed camera system for multi-resolution surveillance. In Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009. (CDSC 2009) (pp. 1-8). USA: IEEE. DOI
  2009	Bellotto, N., Sommerlade, E., Benfold, B., Bibby, C., Reid, I., Roth, D., . . . González, J. (2009). A dstributed camera system for multi-resolution surveillance. In 2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009. DOI Scopus37
  2009	Sommerlade, E., & Reid, I. (2009). PhD forum: Probabilistic surveillance with multiple active cameras. In 2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009. DOI Scopus3
  2009	Prisacariu, V. A., & Reid, I. D. (2009). PWP3D: Real-time segmentation and tracking of 3D objects. In British Machine Vision Conference, BMVC 2009 - Proceedings. British Machine Vision Association. DOI Scopus18
  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. DOI Scopus4
  2009	Benfold, B., & Reid, I. D. (2009). Guiding visual surveillance by tracking human attention.. In BMVC Vol. 2 (pp. 7).
  2009	Mei, C., Sibley, G., Cummins, M., Newman, P. M., & Reid, I. D. (2009). A Constant-Time Efficient Stereo SLAM System.. In BMVC (pp. 1-11).
  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. Scopus12
  2008	Benfold, B., & Reid, I. D. (2008). Colour Invariant Head Pose Classification in Low Resolution Video.. In BMVC (pp. 1-10).
  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. IEEE. DOI Scopus111
  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 Scopus25
  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 Scopus39
  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 Scopus51 WoS21
  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 Scopus122 WoS105
  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 Scopus13
  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.
  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 Scopus16
  2007	Williams, B., Klein, G., & Reid, I. (2007). Real-time SLAM relocalisation. In Proceedings of the IEEE International Conference on Computer Vision. IEEE. DOI Scopus187
  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. British Machine Vision Association. DOI Scopus11
  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. IEEE. DOI Scopus16
  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. British Machine Vision Association. DOI Scopus21
  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. British Machine Vision Association. DOI Scopus6
  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 Scopus35 WoS20
  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 (pp. 17-26). Scopus166
  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 WoS29
  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	Woodford, O., Reid, I., Torr, P., & Fitzgibbon, A. (2006). Fields of experts for image-based rendering. In BMVC 2006 - Proceedings of the British Machine Vision Conference 2006 (pp. 1109-1118). Scopus26
  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	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). Barcelona, SPAIN: IEEE. DOI Scopus15 WoS9
  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 Scopus62 WoS36
  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). Beijing, PEOPLES R CHINA: IEEE COMPUTER SOC. DOI Scopus54 WoS22
  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. 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. Scopus24
  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. D. (2004). Dynamic Classifier for Non-rigid Human motion analysis.. 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.
  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	Tresadern, P. A., & Reid, I. D. (2003). Synchronizing Image Sequences of Non-Rigid Objects.. In BMVC Vol. 2.
  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. Scopus24
  2003	Connor, K. R., & Reid, I. D. (2003). A Multiple View Layered Representation for Dynamic Novel View Synthesis.. In BMVC (pp. 1-10).
  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. Scopus49 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. Scopus108
  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). HILTON HEAD ISL, SC: IEEE COMPUTER SOC. Scopus681 WoS237
  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. Villanueva, M. Vanrell, R. Alquezar, J. 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
  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
  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). Scopus101
  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	de Agapito, L., Hayman, E., & Reid, I. D. (1998). Self-Calibration of a Rotating Camera with Varying Intrinsic Parameters.. In BMVC (pp. 1-10).
  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 Scopus31
  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 Scopus22
  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	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 Scopus38 WoS25
  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	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., McLauchlan, P., Reid, I., & Sharkey, P. (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., & Murray, D. (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. Scopus28
  1993	Reid, I., Bradshaw, K., McLauchlan, P., Sharkey, P., & Murray, D. (1993). From saccades to smooth pursuit: Real-time gaze control using motion feedback. In IROS 93 : PROCEEDINGS OF THE 1993 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOL 1-3 (pp. 1013-1020). YOKOHAMA, JAPAN: I E E E. Scopus10 WoS2
  1993	Reid, I., & Brady, J. (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.
  	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).

• Conference Items

  Year	Citation
  2015	Cremers, D., Reid, I., Saito, H., & Yang, M. (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. (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. (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.

• Report for External Bodies

  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.

• Patents

  Year	Citation
  2009	Bibby, C., & Reid, I. (2009). EP 2359333 B1, Visual tracking of objects in images, and segmentation of images. USA.

• Theses

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

• Software

  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

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

1st yr: Object Oriented Programming, 2020

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

4^th yr, Computer Vision, 2013, 2015

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

• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2022	Co-Supervisor	Domain generalisation in Reinforcement Learning	Master of Philosophy	Master	Full Time	Mr Adrian John Orenstein
  2022	Principal Supervisor	Deep-learning-based scene understanding and tracking	Doctor of Philosophy	Doctorate	Full Time	Mr Moyang Feng
  2021	Co-Supervisor	Semantic Understanding of 3D Point Clouds	Doctor of Philosophy	Doctorate	Full Time	Mr Ryan James Faulkner
  2021	Principal Supervisor	Visual Navigation in Unseen Environments using Reinforcement Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Guoliang Min
  2021	Co-Supervisor	Event Based Visual Navigation for Spacecraft	Doctor of Philosophy	Doctorate	Full Time	Ms Sofia Ana McLeod
  2021	Principal Supervisor	Investigating and Improving Multi-Agent Collaboration Using Reinforcement Learning	Master of Philosophy	Master	Full Time	Mr Ravi Kastanos Hammond
  2020	Co-Supervisor	Computer Vision and Machine Learning for Navigation and Planning	Doctor of Philosophy	Doctorate	Full Time	Mr Sam Bahrami
  2020	Co-Supervisor	Effective Perturbations for Consistency Learning in Semi-supervised Segmentation	Doctor of Philosophy	Doctorate	Full Time	Mr Yuyuan Liu
  2019	Principal Supervisor	Neurobiotics Inspired UAV Mountable Tracking	Doctor of Philosophy	Doctorate	Full Time	Mr Hamish Christopher Pratt
  2019	Principal Supervisor	Computer Vision Geometry Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Jiawang Bian
  2019	Principal Supervisor	Comprehensive visual perception of intersections for applications in road safety	Doctor of Philosophy	Doctorate	Full Time	Mr Matthew Robert Howe
  2018	Principal Supervisor	Social Human Activity Recognition and Localization in Video Sequences	Doctor of Philosophy	Doctorate	Full Time	Ms Mahsa Ehsanpour

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2021 - 2021	Co-Supervisor	Relaxed Invariant Representation for Unsupervised Domain Adaptation	Master of Philosophy	Master	Full Time	Mr Hossein Askari Lyarjdameh
  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	Deep Learning for 2D and 3D Scene Understanding	Doctor of Philosophy	Doctorate	Full Time	Mr Yu Liu
  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
  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

• Committee Memberships

  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

• Memberships

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

• Consulting/Advisories

  Date	Institution	Department	Organisation Type	Country
  2013 - 2014	Bristows LLP

• Editorial Boards

  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

• Offices Held

  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

• Position: Head, School of Computer Science
• Phone: 83132135
• Email: ian.reid@adelaide.edu.au
• Fax: 83134366
• Campus: North Terrace
• Building: Australian Institute for Machine Learning, floor 2
• Org Unit: School of Computer Science