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Tete Xiao
Tete Xiao
Co-Founder & CEO, Prompt AI
Verified email at promptai.co - Homepage
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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
71722023
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
20142018
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
19972019
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
11262018
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
8222018
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
8002021
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
6432018
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
3972018
What can help pedestrian detection?
J Mao, T Xiao, Y Jiang, Z Cao
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3512017
What should not be contrastive in contrastive learning
T Xiao, X Wang, AA Efros, T Darrell
arXiv preprint arXiv:2008.05659, 2020
3342020
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
2202023
Masked visual pre-training for motor control
T Xiao, I Radosavovic, T Darrell, J Malik
arXiv preprint arXiv:2203.06173, 2022
2172022
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
2002020
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
1322021
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
99*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
642020
Learning visually-grounded semantics from contrastive adversarial samples
H Shi, J Mao, T Xiao, Y Jiang, J Sun
arXiv preprint arXiv:1806.10348, 2018
542018
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
432019
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
23*2021
Context-aware action recognition by dual attention networks
Q Fan, D Gutfreund, X Tete, B Zhou
US Patent 11,195,024, 2021
12021
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