| DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks Q Wu, T Yang, Z Liu, B Wu, Y Shan, AB Chan IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 58 | 2023 |
| End-to-end learning of object motion estimation from retinal events for event-based object tracking H Chen, D Suter, Q Wu, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10534 …, 2020 | 41 | 2020 |
| Progressive Unsupervised Learning for Visual Object Tracking Q Wu, J Wan, AB Chan IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral …, 2021 | 40 | 2021 |
| Asynchronous tracking-by-detection on adaptive time surfaces for event-based object tracking H Chen, Q Wu, Y Liang, X Gao, H Wang Proceedings of the 27th ACM International Conference on Multimedia, 473-481, 2019 | 38 | 2019 |
| TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer Z Dou, Q Wu, C Lin, Z Cao, Q Wu, W Wan, T Komura, W Wang Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2022 | 31 | 2022 |
| Dynamic Momentum Adaptation for Zero-Shot Cross-Domain Crowd Counting Q Wu, J Wan, AB Chan The 29th ACM international conference on Multimedia 2021, 2021 | 25 | 2021 |
| A Lightweight and Detector-Free 3D Single Object Tracker on Point Clouds Y Xia*, Q Wu*, W Li, AB Chan, U Stilla IEEE Transactions on Intelligent Transportation Systems, 2023 | 14 | 2023 |
| DSNet: Deep and shallow feature learning for efficient visual tracking Q Wu, Y Yan, Y Liang, Y Liu, H Wang Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 13 | 2019 |
| Robust correlation filter tracking with shepherded instance-aware proposals Y Liang, Q Wu, Y Liu, Y Yan, H Wang The 26th ACM international conference on Multimedia (MM Oral), 420-428, 2018 | 12 | 2018 |
| Scalable Video Object Segmentation with Simplified Framework Q Wu, T Yang, W Wu, AB Chan Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 10 | 2023 |
| Deep correlation filter tracking with shepherded instance-aware proposals Y Liang, Q Wu, Y Liu, Y Yan, H Wang IEEE Transactions on Intelligent Transportation Systems 23 (8), 11408-11421, 2021 | 8 | 2021 |
| A new framework for multiple deep correlation filters based object tracking Y Liu, Y Liang, Q Wu, L Zhang, H Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| The first visual object tracking segmentation vots2023 challenge results M Kristan, J Matas, M Danelljan, M Felsberg, HJ Chang, LČ Zajc, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Modeling noisy annotations for point-wise supervision J Wan, Q Wu, AB Chan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 4 | 2023 |
| Meta-Graph Adaptation for Visual Object Tracking Q Wu, AB Chan 2021 IEEE International Conference on Multimedia and Expo (ICME Oral), 1-6, 2021 | 4 | 2021 |
| SAT: Single-shot adversarial tracker Q Wu, H Wang, Y Liu, L Zhang, X Gao IEEE Transactions on Industrial Electronics 67 (11), 9882-9892, 2019 | 4 | 2019 |
| Hallucinated adversarial learning for robust visual tracking Q Wu, Z Chen, L Cheng, Y Yan, B Li, H Wang arXiv preprint arXiv:1906.07008, 2019 | 4 | 2019 |
| Joint spatio-temporal similarity and discrimination learning for visual tracking Y Liang, H Chen, Q Wu, C Xia, J Li IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 3 | 2024 |
| Robust Unsupervised Crowd Counting and Localization with Adaptive Resolution SAM J Wan, Q Wu, W Lin, AB Chan arXiv preprint arXiv:2402.17514, 2024 | | 2024 |
| Learning Tracking Representations from Single Point Annotations Q Wu, AB Chan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Antoni B. ChanProfessor of Computer Science, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
