Tete Xiao
Tete Xiao
PhD Student, BAIR, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
5612019
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
4122018
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
2792018
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
2692018
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
2522018
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
2282017
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
1672018
What Should Not Be Contrastive in Contrastive Learning
T Xiao, X Wang, AA Efros, T Darrell
International Conference on Learning Representations, 2021
382021
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
372020
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
332018
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
212019
Early convolutions help transformers see better
T Xiao, M Singh, E Mintun, T Darrell, P Dollár, R Girshick
arXiv preprint arXiv:2106.14881, 2021
92021
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
52021
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
52021
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
3*2021
Target detection method and device, neural network training method and device
T XIAO, J MAO
US Patent App. 15/814,125, 2018
1*2018
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