Tete Xiao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 35

Top Topics

Mahalanobis Metric

Scene Understanding

Metric Learning

Top Venues

Publications

Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath
Real-world humanoid locomotion with reinforcement learning. Sci. Robotics 9 (89) (2024)
Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath
Learning Humanoid Locomotion with Transformers. CoRR (2023)
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 (2023)
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)
Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell
Real-World Robot Learning with Masked Visual Pre-training. CoRR (2022)
Tete Xiao, Ilija Radosavovic, Trevor Darrell, Jitendra Malik
Masked Visual Pre-training for Motor Control. CoRR (2022)
Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell
Real-World Robot Learning with Masked Visual Pre-training. CoRL (2022)
Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell
Rethinking preventing class-collapsing in metric learning with margin-based losses. ICCV (2021)
Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick
Early Convolutions Help Transformers See Better. NeurIPS (2021)
Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell
Region Similarity Representation Learning. ICCV (2021)
Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. ICLR (2021)
Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick
Early Convolutions Help Transformers See Better. CoRR (2021)
Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell
What Should Not Be Contrastive in Contrastive Learning. ICLR (2021)
Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell
Region Similarity Representation Learning. CoRR (2021)
Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell
Reducing Class Collapse in Metric Learning with Easy Positive Sampling. CoRR (2020)
Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. CoRR (2020)
Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell
What Should Not Be Contrastive in Contrastive Learning. CoRR (2020)
Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. CVPR (2020)
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, Antonio Torralba
Semantic Understanding of Scenes Through the ADE20K Dataset. Int. J. Comput. Vis. 127 (3) (2019)
Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. CoRR (2019)
Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR (2019)
Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
Reasoning About Human-Object Interactions Through Dual Attention Networks. ICCV (2019)
Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. CoRR (2018)
Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, Jian Sun
Unified Perceptual Parsing for Scene Understanding. ECCV (5) (2018)
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang
Acquisition of Localization Confidence for Accurate Object Detection. ECCV (14) (2018)
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang
Acquisition of Localization Confidence for Accurate Object Detection. CoRR (2018)
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen
Repulsion Loss: Detecting Pedestrians in a Crowd. CVPR (2018)
Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, Jian Sun
Unified Perceptual Parsing for Scene Understanding. CoRR (2018)
Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. COLING (2018)
Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun
MegDet: A Large Mini-Batch Object Detector. CVPR (2018)
Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun
CrowdHuman: A Benchmark for Detecting Human in a Crowd. CoRR (2018)
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen
Repulsion Loss: Detecting Pedestrians in a Crowd. CoRR (2017)
Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao
What Can Help Pedestrian Detection? CoRR (2017)
Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao
What Can Help Pedestrian Detection? CVPR (2017)
Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, Jian Sun
MegDet: A Large Mini-Batch Object Detector. CoRR (2017)