Projects per year
Personal profile
Biography
Dr. Hamid Rezatofighi is an Associate Professor in the Faculty of Information Technology at Monash University, Australia. His research spans computer vision, machine learning, and robotics, with notable contributions to advancing robot visual perception in dynamic environments. Previously, he was an Endeavour Research Fellow at Stanford's Vision and Learning Lab (SVL) and a Senior Research Fellow at the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Dr. Rezatofighi completed his Ph.D. at the Australian National University in 2015. He has authored 100+ publications, including more than 25 high-quality journal articles and over 60 contributions to premier conferences such as CVPR, ECCV, ICCV, NeurIPS, AAAI, IJCAI, ICRA, and IROS. His work has received over 16,000 citations, with 15 of his papers (four as first author) cited more than 100 times, and three exceeding 1,000 citations. Since 2020, he has served as an area chair for major conferences (CVPR, NeurIPS, ECCV, ICCV, IJCAI, and IROS) and holds positions as a Senior Associate Editor for IEEE Transactions on Image Processing and as an Associate Editor for the Artificial Intelligence Journal. These roles reflect his active engagement in the academic community. Over the past four years, Dr. Rezatofighi has secured more than $17 million in research funding, including significant grants from three DARPA projects (one as Lead PI, two as co-PI) and as lead CI for an ARC Discovery Project. His ongoing work continues to drive innovations in computer vision and robotics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, PhD, Bayesian Multi-Target Tracking in Time-Lapse Fluorescence Microscopy Sequences, Australian National University (ANU)
18 Mar 2011 → 1 Jul 2014
Award Date: 17 Jul 2015
Electrical Engineering - Biomedical Engineering, Master, Automatic Recognition of White Blood Cells in Hematological Images, University of Tehran
30 Sept 2006 → 28 Feb 2009
Award Date: 28 Feb 2009
Research area keywords
- Computer Vision
- Robot Vision
- Robot Perception
- Robotics
- Deep Learning
- Machine Learning
Collaborations and top research areas from the last five years
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SEA-AI: SEA-AI: Neuro-Symbolic Enhanced Autonomy for Maritime Scene Understanding and Reasoning
Rezatofighi, H. (Primary Chief Investigator (PCI)), Haffari, R. (Chief Investigator (CI)) & Rastgoo, N. (Chief Investigator (CI))
11/07/25 → 10/07/26
Project: Research
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HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems
Rezatofighi, H. (Primary Chief Investigator (PCI)), Garcia De La Banda Garcia, M. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Stuckey, P. (Chief Investigator (CI)), Gasevic, D. (Chief Investigator (CI)), Gutierrez, J. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Ignatiev , A. (Chief Investigator (CI)), Swiecki, Z. (Chief Investigator (CI)), Vered, M. (Chief Investigator (CI)), Chen, G. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
20/06/23 → 20/02/27
Project: Research
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Spatiotemporal Object Detection/Segmentation from Multi-Spectral Time Sequence Data
Stuckey, P. (Primary Chief Investigator (PCI)), Rezatofighi, H. (Chief Investigator (CI)) & Meehan, A. (Chief Investigator (CI))
18/10/21 → 18/10/26
Project: Research
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Active Visual Navigation in an Unexplored Environment
Rezatofighi, H. (Primary Chief Investigator (PCI)) & Reid, I. (Chief Investigator (CI))
31/08/20 → 31/12/25
Project: Research
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"Machine learning for clinical decision support in in-vitro fertilisation" 2021 Monash Data Futures Institute Seed Grants - AI and Data Science for Monash Global Challenges
Horta Nunez, F. (Primary Chief Investigator (PCI)), Catt, S. (Chief Investigator (CI)), Vollenhoven, B. (Chief Investigator (CI)), Rezatofighi, H. (Chief Investigator (CI)) & Cai, J. (Chief Investigator (CI))
Project: Research
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Acoustic-to-hyper-spectral: real-time perimeter intrusion detection system monitoring through learnable filters and hyper-spectral image generation from distributed acoustic sensing systems
Pierau, R.-E., Katsifolis, J., Meehan, A., Rezatofighi, H. & Stuckey, P. J., 10 Feb 2025, In: Optics Express. 33, 3, p. 4109-4126 18 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums through Simulated Annealing
Pierau, R. E., Meehan, A., Rezatofighi, H. & Stuckey, P. J., 2025, Proceedings of the AAAI Conference on Artificial Intelligence. Walsh, T., Shah, J. & Kolter, Z. (eds.). Washington DC USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 29466-29468 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 28).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
Open Access -
Diffusion Model for Robust Multi-sensor Fusion in 3D Object Detection and BEV Segmentation
Le, D.-T., Shi, H., Cai, J. & Rezatofighi, H., 2025, Computer Vision – ECCV 2024 - 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part LXVIII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: Springer, p. 232-249 18 p. (Lecture Notes in Computer Science; vol. 15126).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
4 Citations (Scopus) -
GyroCopter: Differential Bearing Measuring Trajectory Planner for Tracking and Localizing Radio Frequency Sources
Chen, F., Rezatofighi, S. H. & Ranasinghe, D. C., 2025, In: IEEE Robotics and Automation Letters. 10, 4, p. 3755-3762 8 p.Research output: Contribution to journal › Article › Research › peer-review
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HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning
Ke, F., Cai, Z., Jahangard, S., Wang, W., Haghighi, P. D. & Rezatofighi, H., 2025, Computer Vision – ECCV 2024, 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part XX. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: Springer, p. 132-149 18 p. (Lecture Notes in Computer Science; vol. 15078).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
4 Citations (Scopus)