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  • 18713
    Citations
20022025

Research activity per year

Personal profile

Biography

Professor Hongdong Li has been with the College of Engineering and Computer Science, the Australian National University (ANU) since 2003.  He was seconded to National ICT Australia (NICTA) as a Senior Research Scientist during 2008-2010 working on the 'Australia Bionic Eyes' Project. He was one of the founding CIs for the ACRV for 2014-2020. During 2017—2018 he was a Visiting Professor with Carnegie Mellon University (CMU), Pittsburgh. 

Hongdong’s primary research interests are 3D Computer Vision and Machine Learning.  His research addresses both fundamental problems and applied AI systems in dynamic environment. 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 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 “Marr Prize- Honourable mention” , the CVPR Best Paper Award, etc.  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 40+ 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, Ford, OPPO, Tencent, Toshiba, and Baidu etc.

Qualifications

PhD (EE)

Research Interests

Computer Vision

Machine Learning

VR and AR 

Artificial Intelligence

Deep Learning

Robotics, Autonomous Driving, Autonomous vehicle

Research student supervision

  • Registered to supervise

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Collaborations and top research areas from the last five years

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  • NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

    Cui, R., Liu, W., Sun, W., Wang, S., Shang, T., Li, Y., Song, X., Yan, H., Wu, Z., Chen, S., Li, H. & Ji, P., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., p. 1-18 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15077 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    1 Citation (Scopus)
  • Physically Plausible Color Correction for Neural Radiance Fields

    Zhang, Q., Feng, Y. & Li, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., p. 169-187 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15102 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

  • Prompting Future Driven Diffusion Model for Hand Motion Prediction

    Tang, B., Zhang, K., Luo, W., Liu, W. & Li, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., p. 169-186 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15065 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    4 Citations (Scopus)
  • SemReg: Semantics Constrained Point Cloud Registration

    Fung, S., Lu, X., Edirimuni, D. D. S., Pan, W., Liu, X. & Li, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., p. 293-310 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15099 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    7 Citations (Scopus)
  • Weakly-Supervised Camera Localization by Ground-to-Satellite Image Registration

    Shi, Y., Li, H., Perincherry, A. & Vora, A., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., p. 39-57 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15067 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    3 Citations (Scopus)