Professor Ian Reid

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• Journals

  Year	Citation
  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
  2020	Liu, C., Yao, R., Rezatofighi, S., 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 Scopus1 WoS1
  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
  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	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
  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 Scopus2 WoS1
  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 Scopus1
  2019	Doan, A., Latif, Y., Chin, T., Liu, Y., Ch'Ng, S., Do, T., & Reid, I. (2019). Visual Localization under Appearance Change: A Filtering Approach. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019, 1-8. DOI
  2019	Bian, J., Lin, W., Liu, Y., Zhang, L., Yeung, S., Cheng, M., & Reid, I. (2019). GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. International Journal of Computer Vision. DOI Scopus1
  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 Scopus16 WoS7 Europe PMC1
  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 Scopus57 WoS45
  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 Scopus13 WoS11
  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 Scopus644 WoS401
  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 Scopus10 WoS8
  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 Scopus339 WoS196 Europe PMC17
  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 Scopus17 WoS11
  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 Scopus90 WoS61
  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 Scopus21 WoS16
  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 Scopus114 WoS90 Europe PMC5
  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 Scopus115 WoS81
  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 Scopus15 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 Scopus54 WoS37 Europe PMC4
  2011	Prisacariu, V., & Reid, I. (2011). 3D hand tracking for human computer interaction. Image and Vision Computing, 30(3), 236-250. DOI Scopus35 WoS29
  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 Scopus111 WoS82
  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 Scopus25 WoS22 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 Scopus150 WoS105 Europe PMC12
  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 Scopus31 WoS21
  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 Scopus112 WoS68
  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 Scopus189 WoS127
  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 Scopus12 WoS8
  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. Scopus1 WoS1
  2007	Davison, A., Reid, I., Molton, N., & Stasse, O. (2007). MonoSLAM: Real-time single camera SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6), 1052-1067. DOI Scopus2063 WoS1489 Europe PMC71
  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 Scopus119 WoS80
  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
  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 Scopus338 WoS260
  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 Scopus1 WoS1
  2001	Thompson, R., Reid, I., Muñoz, L., & Murray, D. (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 WoS23
  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 Scopus136 WoS88
  2000	Criminisi, A., Reid, I., & Zisserman, A. (2000). Single view metrology. International Journal of Computer Vision, 40(2), 123-148. DOI Scopus426 WoS291
  2000	Hayman, E., de Agapito, L., Reid, I., & Murray, D. (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. Scopus6
  1999	Criminisi, A., Reid, I., & Zisserman, A. (1999). Plane measuring device. Image and Vision Computing, 17(8), 625-634. DOI Scopus137 WoS109
  1998	Fairley, S., Reid, I., & Murray, D. (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., Reid, I., & Murray, D. (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 Scopus68 WoS49
  1997	McLauchlan, P., Reid, I., Fairley, S., & Murray, D. (1997). The pipe-group architecture for real-time active vision. Real-Time Imaging, 3(5), 319-330. DOI Scopus1
  1996	Reid, I. (1996). Projective calibration of a laser-stripe range finder. Image and Vision Computing, 14(9), 659-666. DOI Scopus60 WoS40
  1996	Reid, I., & Murray, D. (1996). Active tracking of foveated feature clusters using affine structure. International Journal of Computer Vision, 18(1), 41-60. DOI Scopus63 WoS47
  1996	Reid, I., & Beardsley, P. (1996). Self-alignment of a binocular robot. Image and Vision Computing, 14(8 SPEC. ISS.), 635-640. DOI Scopus8 WoS3
  1995	Reid, I., & Brady, J. (1995). Recognition of object classes from range data. Artificial Intelligence, 78(1-2), 289-326. DOI Scopus9 WoS4
  1995	Murray, D., Bradshaw, K., McLauchlan, P., Reid, I., & Sharkey, P. (1995). Driving saccade to pursuit using image motion. International Journal of Computer Vision, 16(3), 205-228. DOI Scopus58 WoS42
  1994	Bradshaw, K., McLauchlan, P., Reid, I., & Murray, D. (1994). Saccade and pursuit on an active head/eye platform. Image and Vision Computing, 12(3), 155-163. DOI Scopus22 WoS19
  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 Scopus5 WoS4
  1993	Sharkey, P., Murray, D., Vandevelde, S., Reid, I., & McLauchlan, P. (1993). A modular head/eye platform for real-time reactive vision. Mechatronics, 3(4), 517-535. DOI Scopus46 WoS37
  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	Partridge, T., & Williams, M. (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., McCracken, G., & Stott, P. (1990). Preface. Journal of Nuclear Materials, 176-177(C), 7.
  —	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
  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., Nascimento, J., 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
  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
  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 Scopus2
  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 Scopus29
  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 Scopus3
  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 Scopus3 WoS1
  2019	Tran, T., 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). online: PMLR.
  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 Scopus1
  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 Scopus2
  2019	Weerasekera, C., Garg, R., Latif, Y., & Reid, I. (2019). Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11365 LNCS (pp. 609-624). Switzerland: Springer. DOI Scopus1 WoS1
  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 Scopus1 WoS1
  2019	Cai, M., Shen, C., & Reid, I. (2019). A hybrid probabilistic model for camera relocalization. In British Machine Vision Conference 2018, BMVC 2018 (pp. 1-12). online: BMVC.
  2019	Do, T., Pham, T., Cai, M., & Reid, I. (2019). Real-time monocular object instance 6D pose estimation. In British Machine Vision Conference 2018, BMVC 2018 (pp. 1-12). online: BMVC. Scopus4
  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 IEEE International Conference on Robotics and Automation Vol. 2019-May (pp. 4811-4817). online: IEEE. DOI Scopus1 WoS1
  2019	Parra Bustos, A., Chin, T., Eriksson, A., & Reid, I. (2019). Visual SLAM: Why bundle adjust?. In Proceedings of the IEEE International Conference on Robotics and Automation Vol. 2019-May (pp. 2385-2391). online: IEEE. DOI Scopus1
  2019	Tchapmi, L., 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 Scopus1
  2019	Rowntree, T., Pontecorvo, C., & Reid, I. (2019). Real-Time Human Gaze Estimation. In 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 (pp. 1-7). online: IEEE. DOI
  2019	Tran, T., Do, T., Reid, I., & Carneiro, G. (2019). Bayesian generative active deep learning. In 36th International Conference on Machine Learning, ICML 2019 Vol. 2019-June (pp. 10969-10978).
  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 of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 1751-1760). online: IEEE. DOI Scopus1
  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 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 7685-7694). online: IEEE. DOI Scopus3
  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
  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
  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 Scopus2 WoS1
  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 Scopus3
  2019	Hosseinzadeh, M., Li, K., Latif, Y., & Reid, I. (2019). Real-time monocular object-model aware sparse SLAM. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 2019-May (pp. 7123-7129). online: IEEE. DOI
  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 Scopus2
  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
  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
  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 Scopus18
  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
  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 Scopus17
  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 Scopus3
  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 Scopus8 WoS1
  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 Scopus20
  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 Scopus6 WoS1
  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	Latif, Y., Garg, R., Milford, M., & Reid, I. (2018). Addressing challenging place recognition tasks using generative adversarial networks. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 2349-2355). online: IEEE. DOI Scopus8
  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 20418 (pp. 6975-6984). Salt Lake City, Utah: IEEE. DOI Scopus15 WoS3
  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 Scopus18 WoS11
  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). Brisbane, Australia: IEEE. DOI Scopus4 WoS1
  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 Scopus53 WoS8
  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. Scopus20
  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 - IEEE International Conference on Robotics and Automation (pp. 4977-4984). online: IEEE. DOI Scopus7 WoS2
  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 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 340-349). online: IEEE. DOI Scopus89 WoS25
  2018	Shen, T., Lin, G., Shen, C., & Reid, I. (2018). Bootstrapping the Performance of Webly Supervised Semantic Segmentation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1363-1371). online: IEEE. DOI Scopus10 WoS2
  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. Scopus4
  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
  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 Scopus13 WoS2
  2018	Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2018). Towards Effective Low-Bitwidth Convolutional Neural Networks. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 7920-7928). online: IEEE. DOI Scopus15 WoS5
  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 Scopus8
  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 Scopus13 WoS7
  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. Scopus120 WoS53
  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 Scopus6 WoS3
  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. Scopus62
  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 Scopus11
  2017	Kim, J., Latif, Y., & Reid, I. (2017). RRD-SLAM: Radial-distorted rolling-shutter direct SLAM. In Proceedings: 2017 IEEE International Conference on Robotics and Automation (pp. 5148-5154). Singapore: IEEE. DOI Scopus2
  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 Scopus20
  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.
  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 Scopus38 WoS15
  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 Scopus11 WoS3
  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 Scopus1
  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 Scopus3
  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 Scopus6
  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. Scopus11 WoS4
  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. Scopus10
  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 Scopus38
  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). DOI
  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 Scopus26 WoS16
  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 Scopus3
  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 Scopus4 WoS3
  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 Scopus309 WoS8
  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 Scopus120 WoS55
  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 Scopus16 WoS12
  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 Scopus256 WoS149
  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 Scopus15 WoS4
  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 Scopus9 WoS5
  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 Scopus59 WoS32
  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 Scopus22
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  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 Scopus131 WoS75
  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 Scopus104 WoS57
  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.
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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. DOI Scopus10 WoS7
  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. Scopus22
  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 Scopus9 WoS1
  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 Scopus3 WoS2
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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. DOI Scopus23
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  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 Scopus34 WoS19
  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 Scopus28 WoS15
  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 Scopus81 WoS46
  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 Scopus11 WoS8
  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 Scopus50 WoS36
  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 Scopus2 WoS3
  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
  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 Scopus5 WoS5
  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 Scopus14
  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 Scopus6
  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 Scopus62
  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 Scopus423
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  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 Scopus77 WoS42
  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 Scopus48 WoS28
  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 Scopus13 WoS9
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  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 Scopus22 WoS17
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  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 Scopus93
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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. DOI Scopus72
  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
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  2008	Woodford, O., Torr, P., Reid, I., & Fitzgibbon, A. (2008). Global stereo reconstruction under second order smoothness priors. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. DOI Scopus107
  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 Scopus18
  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 Scopus41
  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 Scopus35
  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 Scopus42 WoS17
  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 Scopus102 WoS88
  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.
  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	Benfold, B., & Reid, I. D. (2008). Colour Invariant Head Pose Classification in Low Resolution Video.. In BMVC (pp. 1-10).
  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. Scopus11
  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 WoS19
  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. DOI Scopus11
  2007	Woodford, O., Reid, I., Torr, P., & Fitzgibbon, A. (2007). On new view synthesis using multiview stereo. In BMVC 2007 - Proceedings of the British Machine Vision Conference 2007. DOI Scopus17
  2007	Woodford, O., Reid, I., & Fitzgibbon, A. (2007). Efficient new-view synthesis using pairwise dictionary priors. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. DOI Scopus12
  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. DOI Scopus5
  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. Scopus22
  2007	Williams, B., Klein, G., & Reid, I. (2007). Real-time SLAM relocalisation. In Proceedings of the IEEE International Conference on Computer Vision. DOI Scopus163
  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). Scopus141
  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	Rowe, D., Reid, I., Gonzàlez, J., & Villanueva, J. (2006). Unconstrained multiple-people tracking. In K. Franke, K. 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. 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). Scopus21
  2006	Bibby, C., & Reid, I. (2006). Fast feature detection with a graphics processing unit implementation. In Proc. International Workshop on Mobile Vision.
  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 Scopus33 WoS24
  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 Scopus57 WoS35
  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 Scopus12 WoS7
  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. DOI Scopus3
  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 Scopus51 WoS20
  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	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	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. Scopus22
  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 nonrigid hand motion. In Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on (pp. 60-67). IEEE.
  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. Scopus23
  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. Scopus46 WoS15
  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. Scopus98
  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. Scopus628 WoS150
  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 WoS1
  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). Scopus6
  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). Scopus108
  1999	Hartley, R., 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). Scopus97
  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). DOI Scopus28
  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	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).
  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). DOI Scopus13
  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). Scopus79
  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., Reid, I., Zisserman, A., & Murray, D. (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 WoS22
  1995	Fairley, S., Reid, I., & Murray, D. (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 WoS8
  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., Murray, D., & Bradshaw, K. (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 WoS5
  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. Scopus37
  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. Scopus27
  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. Scopus8 WoS1
  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).
  —	Bian, J. -W., Wu, Y. -H., Zhao, J., Liu, Y., Zhang, L., Cheng, M. -M., & Reid, I. (n.d.). An Evaluation of Feature Matchers for Fundamental Matrix Estimation.

• 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

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

4^th yr, Computer Vision, 2013, 2015

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

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2019	Principal Supervisor	Computer Vision Geometry Deep Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Jiawang Bian
  2019	Principal Supervisor	Neurobiotics Inspired UAV Mountable Tracking	Doctor of Philosophy	Doctorate	Full Time	Mr Hamish Christopher Pratt
  2019	Principal Supervisor	Investigating Robust Solutions to Perception and Control for Autonomous Vehicles Exploring Challenging Environments Using New Sensor Technology	Doctor of Philosophy	Doctorate	Full Time	Mr Matthew Robert Howe
  2018	Co-Supervisor	Deep Transfer Learning Across Domains and Tasks for Medical Images	Doctor of Philosophy	Doctorate	Full Time	Mr Hossein Askari Lyarjdameh
  2018	Principal Supervisor	Social Human Activity Recognition and Localization in Video Sequences	Doctor of Philosophy	Doctorate	Full Time	Ms Mahsa Ehsanpour
  2017	Principal Supervisor	Large scale simultaneous localization and mapping in real time	Doctor of Philosophy	Doctorate	Full Time	Mr Yu Liu
  2017	Principal Supervisor	Semantic Image Segmentation and Other Dense Per-Pixel Tasks: Practical Approaches	Doctor of Philosophy	Doctorate	Full Time	Mr Vladimir Nekrasov
  2017	Principal Supervisor	Semantic Scene Understanding in Robotic vision	Doctor of Philosophy	Doctorate	Full Time	Mr Kejie Li
  2017	Principal Supervisor	Feature learning in deep networks for robotic vision	Doctor of Philosophy	Doctorate	Full Time	Mr Huangying Zhan
  2016	Principal Supervisor	Long Term Semantic Scene Understanding and Slam	Doctor of Philosophy	Doctorate	Full Time	Mr Ming Cai

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

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2016 - 2020	Co-Supervisor	Data Augmentation for Multi-domain and Multi-model Generalised Zero-shot Learning	Doctor of Philosophy	Doctorate	Full Time	Mr Rafael Felix Alves
  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
  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	Mr Bohan Zhuang

Expand

• 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: 8313 4366
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 4
• Room: 4 26
• Org Unit: School of Computer Science