| Semantic understanding of scenes through the ADE20K dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal of Computer Vision, 2019 | 767 | 2019 |
| Acquisition of Localization Confidence for Accurate Object Detection B Jiang, R Luo, J Mao, T Xiao, Y Jiang Proceedings of the European Conference on Computer Vision (ECCV), 784--799, 2018 | 585 | 2018 |
| Unified Perceptual Parsing for Scene Understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun Proceedings of the European Conference on Computer Vision (ECCV), 418--434, 2018 | 476 | 2018 |
| Repulsion Loss: Detecting Pedestrians in a Crowd X Wang, T Xiao, Y Jiang, S Shao, J Sun, C Shen The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 355 | 2018 |
| Megdet: A large mini-batch object detector C Peng, T Xiao, Z Li, Y Jiang, X Zhang, K Jia, G Yu, J Sun The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 295 | 2018 |
| Crowdhuman: A benchmark for detecting human in a crowd S Shao, Z Zhao, B Li, T Xiao, G Yu, X Zhang, J Sun arXiv preprint arXiv:1805.00123, 2018 | 285 | 2018 |
| What can help pedestrian detection? J Mao, T Xiao, Y Jiang, Z Cao The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6034-6043, 2017 | 254 | 2017 |
| Early convolutions help transformers see better T Xiao, M Singh, E Mintun, T Darrell, P Dollįr, R Girshick Advances in Neural Information Processing Systems, 2021 | 123 | 2021 |
| What Should Not Be Contrastive in Contrastive Learning T Xiao, X Wang, AA Efros, T Darrell International Conference on Learning Representations, 2021 | 95 | 2021 |
| Something-else: Compositional action recognition with spatial-temporal interaction networks J Materzynska, T Xiao, R Herzig, H Xu, X Wang, T Darrell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 66 | 2020 |
| Learning Visually-Grounded Semantics from Contrastive Adversarial Samples H Shi, J Mao, T Xiao, Y Jiang, J Sun Proceedings of the 27th International Conference on Computational …, 2018 | 37 | 2018 |
| Reasoning about human-object interactions through dual attention networks T Xiao, Q Fan, D Gutfreund, M Monfort, A Oliva, B Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 30 | 2019 |
| Region similarity representation learning T Xiao, CJ Reed, X Wang, K Keutzer, T Darrell Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
| Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Q Zhang, T Xiao, AA Efros, L Pinto, X Wang International Conference on Learning Representations, 2021 | 18 | 2021 |
| Masked visual pre-training for motor control T Xiao, I Radosavovic, T Darrell, J Malik arXiv preprint arXiv:2203.06173, 2022 | 5 | 2022 |
| Rethinking preventing class-collapsing in metric learning with margin-based losses E Levi, T Xiao, X Wang, T Darrell Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5* | 2021 |
| Target detection method and device, neural network training method and device T Xiao, J Mao US Patent 10,671,919, 2020 | 1* | 2020 |
| Context-aware action recognition by dual attention networks Q Fan, D Gutfreund, X Tete, B Zhou US Patent 11,195,024, 2021 | | 2021 |
Yuning JiangAlibaba GroupEmail verificata su alibaba-inc.com
