Ian Reid

Department Chair of Computer Vision, and Professor of Computer Vision

Research interests

Reid has a 30-year history of contributions across a wide range of computer vision areas including active vision, visual SLAM, visual geometry, human motion capture and visual surveillance. His current interests see a convergence of many of these themes under the umbrellas of spatial AI and embodied AI. His research aims to endow real physical agents with life-long visual learning capabilities, common-sense reasoning, and spatial awareness through video understanding for real-time robotic decision-making.

Email

Prior to joining MBZUAI, Reid wasHead of School and Professor of Computer Science at the University of Adelaide in Australia.   A fellow of the Australian Academy of Technological Sciences and Engineering (ATSE), the Australian Academy of Science (AAS) and a former Rhodes Scholar, Reid held an Australian Laureate Fellowship from 20132018 in recognition of his contribution to building Australia’s internationally competitive research capacity. Reid was the Deputy Director of the Australian Centre for Robotic Vision from 20142021 and, in 2022, was awarded the Australian Computer Society’s Artificial Intelligence Distinguished Researcher Award in recognition of his outstanding contributions to research in computer vision and machine learning.  During his career, Reid has secured more than US$20 million in funding as principal investigator, has registered three patents, is supervising nine Ph.D. students currently and has successfully supervised 29 doctoral and three postgraduate students to completion. 
  • DPhil in computer vision from the University of Oxford, England, 1992
  • Bachelor of Science in computer science with first class honours from the University of Western Australia, 1987.
  • Best Paper Award (with Dung Doan et al), Robotics and Autonomous Systems Letters, 2022
  • ACS Australasian AI Distinguished Research Contribution Award, 2022
  • Fellow, Australian Academy of Science, 2021
  • Best Paper Award (with Dung Doan et al), DICTA, 2019
  • Winner, Amazon Robotics Challenge (Team ACRV), 2017
  • Fellow, Academy of Technological Sciences and Engineering, 2016
  • Best Paper Award (with Zongyuan Ge et al), DICTA, 2016
  • Named as one of the Knowledge Nation 100” by The Australian, 2015
  • ARC Australian Laureate Fellowship, 2013—2018
  • Best Paper Award (with Michael Milford et al), IEEE Workshop on Vehicle Technology, 2015
  • Best Paper Award (with Carl Ren, Victor Prisacariu and David Murray), 3DV 2014
  • Best reviewer award, CVPR 2015, RSS 2014
  • Dennis Moore Oration, Australian Computer Society WA Branch, 2013
  • Winner, Freescale Sense the World video competition (with V Prisacariu), 2010 
  • Best Industrial Paper (with A Patron, M. Marsalek and A Zisserman), British Machine Vision Conference, 2010
  • Best Student Poster (with B Benfold), British Machine Vision Conference, 2009
  • Best Paper Award (with O Woodford, P Torr and A Fitzgibbon), IEEE Computer Vision and Pattern Recognition, 2008
  • Best Science Paper (with Philip Tresadern), British Machine Vision Conference, 2003
  • EPSRC Advanced Research Fellowship, 1997
  • Violette and Samuel Glasstone Fellowship, 1993
  • Rhodes Scholarship (Western Australia), 1987/88
  • ACS WA (top student) and IBM WA (best Honours thesis) prizes in Computer Science, University of Western Australia, 1987
Chairing/executive positions: 
  • Conference Area Chair, International Conference on Computer Vision (2023)
  • Program Chair, Indian Conference on Computer Vision, Graphics and Image Processing (2023)
  • Member, The Kingston AI Group (2022– )
  • Chair, Advisory Board, Cyber Physical Systems Program at CISRO Data61 (2020– )
  • General Chair, Asian Conference on Computer Vision (2018)
  • Co-Chair, Australian National Roadmap for Robotics (20172018)
  • Committee Member, Australian Academy of Sciences, National Committee for Information and Communications Sciences (20142018)
  • Editorial board of Computer Vision and Image Understanding (20132018)
  • Co-Chair, Academy of Science Expert Committee on Future Science for Autonomous Systems in Complex Environments (20162017)
  • Editorial board of the Institute of Electrical and Electronics Engineers’ Transactions on Pattern Analysis and Machine Intelligence (20102017)
  • Program Chair, Fourth International Conference on 3D Vision (2016)
  • Program Chair, 12th Asian Conference on Computer Vision (2014)
Reid has also been area chair numerous times for CVPR, ICCV, ECCV, RSS and ICRA.

Reid is the author of some 300 peer-reviewed publications that have received more than 47,000 citations and an h-index of 101.  

  • Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid, Exploring Context with Deep Structured models for Semantic Segmentation, vol PP, DOI 10.1109/TPAMI.2017.2708714, T-PAMI, 2017
  • Cesar Dario Cadena Lerma, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, Jose Neira, Ian Reid and John Leonard, Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age, IEEE Transactions on Robotics, vol 32, num 6, Dec 2016
  • Garg, Vijay BG Kumar, G. Carneiro and I Reid, Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. European Conference on Computer Vision, 2016
  • Benfold and I. D. Reid, Stable Multi-Target Tracking in Real-Time Surveillance Video, in Proceedings of Computer Vision and Pattern Recognition (CVPR), 2011.
  • Woodford, P. Torr, I. D. Reid and A. Fitzgibbon, Global Stereo Reconstruction under Second Order Smoothness Priors, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol 31, no 12, 2009.
  • Charles Bibby and Ian Reid, Robust Real-Time Visual Tracking using Pixel-Wise Posteriors, Proceedings of the European Conference on Computer Vision (ECCV), 2008
  • Davison, I. D. Reid, N. Molton and O. Stasse, MonoSLAM:  Real-time Single Camera SLAM, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 29, no. 6, pp 1052-1067, 2007.
  • Deutscher and I. D. Reid, Articulated body motion capture by stochastic search, International Journal of Computer Vision (IJCV), Vol. 61, No. 2, 2005.
  • H Rezatofighi, N Tsoi, JY Gwak, A Sadeghian, I Reid, S Savarese, Generalized intersection over union: A metric and a loss for bounding box regression. Proceedings of the IEEE/CVF conference on computer vision and pattern, 2019.
  • Criminisi, I. D. Reid and A. Zisserman, Single view metrology,  International Journal  of Computer Vision, vol. 40(2), pp 123–148, 2000. 

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