Tokens-to-token vit: Training vision transformers from scratch on imagenet L Yuan, Y Chen, T Wang, W Yu, Y Shi, ZH Jiang, FEH Tay, J Feng, S Yan Proceedings of the IEEE/CVF international conference on computer vision, 558-567, 2021 | 1118 | 2021 |
Revisiting knowledge distillation via label smoothing regularization L Yuan, FEH Tay, G Li, T Wang, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 375 | 2020 |
Distilling object detectors with fine-grained feature imitation T Wang, L Yuan, X Zhang, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 264 | 2019 |
Overcoming classifier imbalance for long-tail object detection with balanced group softmax Y Li, T Wang, B Kang, S Tang, C Wang, J Li, J Feng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 195 | 2020 |
Central similarity quantization for efficient image and video retrieval L Yuan, T Wang, X Zhang, FEH Tay, Z Jie, W Liu, J Feng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 188 | 2020 |
Few-shot adaptive faster r-cnn T Wang, X Zhang, L Yuan, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 134 | 2019 |
The devil is in classification: A simple framework for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng European conference on computer vision, 728-744, 2020 | 118* | 2020 |
Human in events: A large-scale benchmark for human-centric video analysis in complex events W Lin, H Liu, S Liu, Y Li, R Qian, T Wang, N Xu, H Xiong, GJ Qi, N Sebe arXiv preprint arXiv:2005.04490, 2020 | 87 | 2020 |
Revisit knowledge distillation: a teacher-free framework L Yuan, FEH Tay, G Li, T Wang, J Feng | 72 | 2019 |
Direct multi-view multi-person 3d pose estimation T Wang, J Zhang, Y Cai, S Yan, J Feng Advances in Neural Information Processing Systems 34, 13153-13164, 2021 | 36 | 2021 |
Pnp-detr: Towards efficient visual analysis with transformers T Wang, L Yuan, Y Chen, J Feng, S Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 32 | 2021 |
Variational prototype replays for continual learning M Zhang, T Wang, JH Lim, G Kreiman, J Feng arXiv preprint arXiv:1905.09447, 2019 | 21* | 2019 |
End-to-end video instance segmentation via spatial-temporal graph neural networks T Wang, N Xu, K Chen, W Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision K Gong*, B Li*, J Zhang*, T Wang*, J Huang, MB Mi, J Feng, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
Finding action tubes with a sparse-to-dense framework Y Li, W Lin, T Wang, J See, R Qian, N Xu, L Wang, S Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11466 …, 2020 | 12 | 2020 |
Toward accurate person-level action recognition in videos of crowed scenes L Yuan, Y Zhou, S Chang, Z Huang, Y Chen, X Nie, T Wang, J Feng, ... Proceedings of the 28th ACM International Conference on Multimedia, 4694-4698, 2020 | 5 | 2020 |
Learning to Detect and Segment for Open Vocabulary Object Detection T Wang, N Li arXiv preprint , accepted by CVPR2023, 2022 | 2 | 2022 |
Ph.D. Thesis: Towards Efficient Object Detection with Deep Learning T Wang National University of Singapore, 2022 | | 2022 |
Learning Box Regression and Mask Segmentation under Long-tailed Distribution with Gradient Transfusing TWLY JiashiFeng IJCV special issue under review, 2022 | | 2022 |
Ph.D. Thesis: TOWARDS EFFICIENT OBJECT DETECTION WITH DEEP LEARNING TAO WANG | | 2022 |