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Tete Xiao
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2020 – today
- 2024
- [j2]Ilija Radosavovic
, Tete Xiao
Real-world humanoid locomotion with reinforcement learning. Sci. Robotics 9(89) (2024) - 2023
- [b1]Tete Xiao:
Scalable Representations for Vision and Robotics. University of California, Berkeley, USA, 2023 - [c15]Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick:
Segment Anything. ICCV 2023: 3992-4003 - [i18]Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath:
Learning Humanoid Locomotion with Transformers. CoRR abs/2303.03381 (2023) - [i17]Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick:
Segment Anything. CoRR abs/2304.02643 (2023) - 2022
- [c14]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRL 2022: 416-426 - [i16]Tete Xiao, Ilija Radosavovic, Trevor Darrell, Jitendra Malik:
Masked Visual Pre-training for Motor Control. CoRR abs/2203.06173 (2022) - [i15]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRR abs/2210.03109 (2022) - 2021
- [c13]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Rethinking preventing class-collapsing in metric learning with margin-based losses. ICCV 2021: 10296-10305 - [c12]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. ICCV 2021: 10519-10528 - [c11]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. ICLR 2021 - [c10]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. ICLR 2021 - [c9]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. NeurIPS 2021: 30392-30400 - [i14]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. CoRR abs/2103.12902 (2021) - [i13]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. CoRR abs/2106.14881 (2021) - 2020
- [c8]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. CVPR 2020: 1046-1056 - [i12]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Reducing Class Collapse in Metric Learning with Easy Positive Sampling. CoRR abs/2006.05162 (2020) - [i11]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. CoRR abs/2008.05659 (2020) - [i10]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. CoRR abs/2012.09811 (2020)
2010 – 2019
- 2019
- [j1]Bolei Zhou
Semantic Understanding of Scenes Through the ADE20K Dataset. Int. J. Comput. Vis. 127(3): 302-321 (2019) - [c7]Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. ICCV 2019: 3918-3927 - [i9]Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou:
Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR abs/1909.04743 (2019) - [i8]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. CoRR abs/1912.09930 (2019) - 2018
- [c6]Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun:
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. COLING 2018: 3715-3727 - [c5]Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu
MegDet: A Large Mini-Batch Object Detector. CVPR 2018: 6181-6189 - [c4]Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao
Repulsion Loss: Detecting Pedestrians in a Crowd. CVPR 2018: 7774-7783 - [c3]Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, Jian Sun:
Unified Perceptual Parsing for Scene Understanding. ECCV (5) 2018: 432-448 - [c2]Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang:
Acquisition of Localization Confidence for Accurate Object Detection. ECCV (14) 2018: 816-832 - [i7]Shuai Shao
CrowdHuman: A Benchmark for Detecting Human in a Crowd. CoRR abs/1805.00123 (2018) - [i6]Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun:
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. CoRR abs/1806.10348 (2018) - [i5]Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, Jian Sun:
Unified Perceptual Parsing for Scene Understanding. CoRR abs/1807.10221 (2018) - [i4]Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang:
Acquisition of Localization Confidence for Accurate Object Detection. CoRR abs/1807.11590 (2018) - 2017
- [c1]Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao:
What Can Help Pedestrian Detection? CVPR 2017: 6034-6043 - [i3]Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao:
What Can Help Pedestrian Detection? CoRR abs/1705.02757 (2017) - [i2]Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun:
MegDet: A Large Mini-Batch Object Detector. CoRR abs/1711.07240 (2017) - [i1]Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen:
Repulsion Loss: Detecting Pedestrians in a Crowd. CoRR abs/1711.07752 (2017)
Coauthor Index
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