| 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 | 181 | 2017 |
| 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 | 130 | 2018 |
| 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 | 78 | 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 | 67 | 2017 |
| 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 | 33 | 2019 |
| 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 | 20 | 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 | 19 | 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 (TPAMI), 2019 | 17 | 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), 2018 | 17 | 2018 |
| Towards Distraction-Robust Active Visual Tracking F Zhong, P Sun, W Luo, T Yan, Y Wang International Conference on Machine Learning (ICML), 2021 | 11 | 2021 |
| Gym-unrealcv: Realistic virtual worlds for visual reinforcement learning F Zhong, W Qiu, T Yan, Y Alan, Y Wang Web Page, 2017 | 9 | 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 | 7 | 2021 |
| Targf: Learning target gradient field for object rearrangement M Wu, F Zhong, Y Xia, H Dong Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022 | 3 | 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 | 1 | 2022 |
| GFPose: Learning 3D Human Pose Prior with Gradient Fields H Ci, M Wu, W Zhu, X Ma, H Dong, F Zhong, Y Wang arXiv preprint arXiv:2212.08641, 2022 | | 2022 |
| Disentangling Disease-related Representation from Obscure for Disease Prediction CR Wang, F Gao, F Zhang, F Zhong, Y Yu, Y Wang International Conference on Machine Learning, 22652-22664, 2022 | | 2022 |
| 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 | | 2022 |
| MATE: A Multi-Agent Tracking Environment for Multi-Agent Learning Benchmark X Pan, M Liu, F Zhong, Y Wang | | |
Wenhan LuoSun Yat-sen University; Imperial College London; Tencent; AmazonPotvrđena adresa e-pošte na imperial.ac.uk
