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Hongdong Li

Hongdong Li

Chief Investigator Professor Hongdong Li has been with the College of Engineering and Computer Science, the Australian National University (ANU). He joined the ANU Research School of Information Sciences and Engineering (RSISE) from 2004 first as a Postdoctoral Fellow and then Research Fellow and a Senior Fellow. He was seconded to National ICT Australia (NICTA) as a Senior Research Scientist during 2008-2010 working on the Australia Bionic Eye Project. From 2010 he took a tenured position with ANU, doing teaching and research in computer vision and robotics at ANU. He as one of the fouding CIs joined the ACRV since 2014. During 2017—2018 he was a Visiting Professor with the Robotics Institute at Carnegie Mellon University (CMU), Pittsburgh.

Hongdong’s primary reserch interests are in 3D Computer Vision, Multi-view geometry, camera pose and optimal 3D registration, deep learning and autonomous driving. His research address fundamental problems in 3D reconstruction of dynamic non-rigid environments. He serves on the Editorial Boards for leading journals in computer vision and artificial intelligence, such as the Associate Editor for IEEE T-PAMI (Transactions on Pattern Analysis and Machine Intelligence), Guest Editor for IJCV (International journal of computer vision), editor for IVC (Image and Vision Computing), IET-Computer Vision, and IPSJ CVA (Computer Vision and Application). He serve regularly as Area Chair and Session Chair for recent year IEEE CVPR, ICCV, and ECCV etc. top and premier conferences in computer vision. He was the Co-Program Chair for Australasian Conference on Robotics and Automation (ACRA) in 2015 and DICTA 2017, as well as a co-Program Chair for ACCV-2018 “Asian Conference on Computer Vision” in 2018, and a Co Chair for ACCV 2022 conference to be held in Macau. His recent works focus on learning in 3D perception and vision based spatial-awareness computation, and efficient and robust robot navigation in unfamiliar environments.

Jointly with his students and co-workers he won a number of most prestigious awards in computer vision, including the “David Marr Prize- Honourable mention” in 2017, the IEEE CVPR Best Paper Award in 2012, and IEEE ICIP Best Student Paper Prize in 2014, and IEEE ICPR Best student Paper in 2010. Both Marr Prize and CVPR Best Paper Award are highly regarded awards in international computer vision community. A list of previous-year Marr Prize (including Honorable Mention) winners can be found on the IEEE website. So far, he has published over 150 peer-reviewed papers in major venues. He has supervised/co-supervised/graduated 20+ PhD students in the area of computer vision. His research projects have been funded by Australia Research Council, CSIRO, as well as by global technical firms including Microsoft Research, General Motors, Toshiba, Baidu AI, and Ford Motors, etc.

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