| 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 | 31 | 2019 |
| 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 | 30 | 2021 |
| 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 | 28 | 2020 |
| 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 | 16 | 2021 |
| 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 | 10 | 2018 |
| 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 | 8 | 2019 |
| 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 | 7 | 2023 |
| 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 arXiv preprint arXiv:2211.10705, 2022 | 6 | 2022 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| 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 | 3 | 2021 |
| Meta-Graph Adaptation for Visual Object Tracking Q Wu, AB Chan 2021 IEEE International Conference on Multimedia and Expo (ICME Oral), 1-6, 2021 | 3 | 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 | 3 | 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 | 2 | 2019 |
| Modeling noisy annotations for point-wise supervision J Wan, Q Wu, AB Chan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| Scalable Video Object Segmentation with Simplified Framework Q Wu, T Yang, W Wu, AB Chan ICCV-2023, arXiv:2308.09903, 2023 | | 2023 |
| Supplementary Material Scalable Video Object Segmentation with Simplified Framework Q Wu, T Yang, W Wu, AB Chan | | |
| TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer Supplementary Material Z Dou, Q Wu, C Lin, Z Cao, Q Wu, W Wan, T Komura, W Wang | | |
| Supplementary Material DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks Q Wu, T Yang, Z Liu, B Wu, Y Shan, AB Chan | | |
| Supplementary Material Progressive Unsupervised Learning for Visual Object Tracking Q Wu, J Wan, AB Chan | | |
Hanzi WangProfessor of Xiamen UniversityVerified email at xmu.edu.cn
