Hongdong Li

• Professor
• ANU
• hongdongli.anu.edu.au

Chief Investigator Professor Hongdong Li has been with the College of Engineering and Computer Science, the Australian National University (ANU) since 2004.  He was seconded to National ICT Australia (NICTA) as a Senior Research Scientist during 2008-2010 working on the ‘Australia Bionic Eyes’ Project. From 2010 he assumed a tenured position with ANU, doing teaching and research in 3D computer vision and robotics at ANU. He as one of the founding CIs joined the ACRV from 2014. During 2017—2018 he was a Visiting Professor with the Robotics Institute at Carnegie Mellon University (CMU), Pittsburgh. During 2019-2020 he served as the Associate School Director for ANU Research School of Engineering.

Hongdong’s primary research interests are 3D Computer Vision, Multi-view geometry, camera calibration and optimal 3D registration, deep learning for autonomous driving. His research addresses both fundamental problems and applied AI systems in dynamic environments. He serves on the Editorial Boards for leading journals in artificial intelligence, such as 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 served regularly as Area Chair and Session Chair for recent years’ IEEE CVPR, ICCV, and ECCV etc. 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 and ACCV 2022 “Asian Conference on Computer Vision”. His recent works focus on learning in 3D perception for plant sciences 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 the Marr Prize and CVPR Best Paper Award are highly regarded awards in the international computer vision community.  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 etc.

Disciplines: Artificial Intelligence, Autonomous Systems, Autonomous Vehicles, Computer Vision, Machine Learning,
Industries: Agriculture, Creative Arts,