| Segment anything A Kirillov, E Mintun, N Ravi, H Mao, C Rolland, L Gustafson, T Xiao, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8364 | 2023 |
| 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 | 2131 | 2018 |
| 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 127, 302-321, 2019 | 2091 | 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 | 1152 | 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 | 862 | 2018 |
| Early convolutions help transformers see better T Xiao, M Singh, E Mintun, T Darrell, P Dollár, R Girshick Advances in neural information processing systems 34, 30392-30400, 2021 | 853 | 2021 |
| Repulsion loss: Detecting pedestrians in a crowd X Wang, T Xiao, Y Jiang, S Shao, J Sun, C Shen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 652 | 2018 |
| Megdet: A large mini-batch object detector C Peng, T Xiao, Z Li, Y Jiang, X Zhang, K Jia, G Yu, J Sun Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 400 | 2018 |
| What can help pedestrian detection? J Mao, T Xiao, Y Jiang, Z Cao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 356 | 2017 |
| What should not be contrastive in contrastive learning T Xiao, X Wang, AA Efros, T Darrell arXiv preprint arXiv:2008.05659, 2020 | 347 | 2020 |
| Real-world robot learning with masked visual pre-training I Radosavovic, T Xiao, S James, P Abbeel, J Malik, T Darrell Conference on Robot Learning, 416-426, 2023 | 230 | 2023 |
| Masked visual pre-training for motor control T Xiao, I Radosavovic, T Darrell, J Malik arXiv preprint arXiv:2203.06173, 2022 | 226 | 2022 |
| 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 | 211 | 2020 |
| 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 | 137 | 2021 |
| Real-world humanoid locomotion with reinforcement learning I Radosavovic, T Xiao, B Zhang, T Darrell, J Malik, K Sreenath Science Robotics 9 (89), eadi9579, 2024 | 118* | 2024 |
| Learning cross-domain correspondence for control with dynamics cycle-consistency Q Zhang, T Xiao, AA Efros, L Pinto, X Wang arXiv preprint arXiv:2012.09811, 2020 | 66 | 2020 |
| Learning visually-grounded semantics from contrastive adversarial samples H Shi, J Mao, T Xiao, Y Jiang, J Sun arXiv preprint arXiv:1806.10348, 2018 | 55 | 2018 |
| Crowdhuman: A benchmark for detecting human in a crowd. arXiv 2018 S Shao, Z Zhao, B Li, T Xiao, G Yu, X Zhang, J Sun arXiv preprint arXiv:1805.00123, 2018 | 51 | 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 | 44 | 2019 |
| 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 | 24* | 2021 |
Ross GirshickCo-Founder at VerceptVerified email at vercept.com