| Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial F Zhong, S Wang, Z Zhang, C Zhou, Y Wang 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1001-1010, 2018 | 299 | 2018 |
| Unrealcv: Virtual worlds for computer vision W Qiu, F Zhong, Y Zhang, S Qiao, Z Xiao, TS Kim, Y Wang, A Yuille Proceedings of the 2017 ACM on Multimedia Conference, 1221-1224, 2017 | 264 | 2017 |
| End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning W Luo, P Sun, F Zhong, W Liu, T Zhang, Y Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 137 | 2019 |
| End-to-end Active Object Tracking via Reinforcement Learning W Luo, P Sun, F Zhong, W Liu, T Zhang, Y Wang International Conference on Machine Learning (ICML), 2017 | 104 | 2017 |
| ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Y Wang, F Zhong, J Xu, Y Wang International Conference on Learning Representations (ICLR), 2021 | 75 | 2021 |
| Craves: Controlling robotic arm with a vision-based economic system Y Zuo, W Qiu, L Xie, F Zhong, Y Wang, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 61 | 2019 |
| GFPose: Learning 3D Human Pose Prior with Gradient Fields H Ci, M Wu, W Zhu, X Ma, H Dong, F Zhong, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 2022 |
| Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks J Xu, F Zhong, Y Wang Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020 | 46 | 2020 |
| Pose-Assisted Multi-Camera Collaboration for Active Object Tracking J Li, J Xu, F Zhong, X Kong, Y Qiao, Y Wang Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 | 46 | 2020 |
| Ad-vat+: An asymmetric dueling mechanism for learning and understanding visual active tracking F Zhong, P Sun, W Luo, T Yan, Y Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (5), 1467-1482, 2019 | 41 | 2019 |
| AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking F Zhong, P Sun, W Luo, T Yan, Y Wang International Conference on Learning Representations (ICLR) 2019, 2019 | 37 | 2019 |
| Towards Distraction-Robust Active Visual Tracking F Zhong, P Sun, W Luo, T Yan, Y Wang International Conference on Machine Learning (ICML), 2021 | 35 | 2021 |
| Targf: Learning target gradient field to rearrange objects without explicit goal specification M Wu, F Zhong, Y Xia, H Dong Advances in Neural Information Processing Systems 35, 31986-31999, 2022 | 31 | 2022 |
| MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control X Pan, M Liu, F Zhong, Y Yang, SC Zhu, Y Wang Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | 26 | 2022 |
| Bi-dexhands: Towards human-level bimanual dexterous manipulation Y Chen, Y Geng, F Zhong, J Ji, J Jiang, Z Lu, H Dong, Y Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 21 | 2023 |
| Grasparl: Dynamic grasping via adversarial reinforcement learning T Wu, F Zhong, Y Geng, H Wang, Y Zhu, Y Wang, H Dong arXiv preprint arXiv:2203.02119, 2022 | 15 | 2022 |
| Gym-unrealcv: Realistic virtual worlds for visual reinforcement learning F Zhong, W Qiu, T Yan, Y Alan, Y Wang Web Page, 2017 | 13 | 2017 |
| RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking F Zhong, X Bi, Y Zhang, W Zhang, Y Wang Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023 | 11 | 2023 |
| Proactive Multi-Camera Collaboration for 3D Human Pose Estimation H Ci, M Liu, X Pan, F Zhong, Y Wang International Conference on Learning Representations (ICLR), 2023 | 11 | 2023 |
| Learning semantic-agnostic and spatial-aware representation for generalizable visual-audio navigation H Wang, Y Wang, F Zhong, M Wu, J Zhang, Y Wang, H Dong IEEE Robotics and Automation Letters 8 (6), 3900-3907, 2023 | 5 | 2023 |
Wenhan LuoAssociate Professor, HKUSTVerified email at ust.hk
