What Can Help Pedestrian Detection? - Jiayuan Mao; Tete Xiao; Yuning Jiang 001; Zhimin Cao (CVPR, 2017)

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. - Haoyue Shi 001; Jiayuan Mao; Tete Xiao; Yuning Jiang 001; Jian Sun 001 (COLING, 2018)

MegDet: A Large Mini-Batch Object Detector. - Chao Peng 001; Tete Xiao; Zeming Li; Yuning Jiang 001; Xiangyu Zhang 005; Kai Jia; Gang Yu 002; Jian Sun 001 (CVPR, 2018)

Repulsion Loss: Detecting Pedestrians in a Crowd. - Xinlong Wang; Tete Xiao; Yuning Jiang 001; Shuai Shao 005; Jian Sun 001; Chunhua Shen (CVPR, 2018)

Acquisition of Localization Confidence for Accurate Object Detection. - Borui Jiang; Ruixuan Luo; Jiayuan Mao; Tete Xiao; Yuning Jiang 001 (ECCV (14), 2018)

Unified Perceptual Parsing for Scene Understanding. - Tete Xiao; Yingcheng Liu; Bolei Zhou; Yuning Jiang 001; Jian Sun 001 (ECCV (5), 2018)

CrowdHuman: A Benchmark for Detecting Human in a Crowd. - Shuai Shao 005; Zijian Zhao; Boxun Li; Tete Xiao; Gang Yu 002; Xiangyu Zhang 005; Jian Sun 001 (CoRR, 2018)

Reasoning About Human-Object Interactions Through Dual Attention Networks. - Tete Xiao; Quanfu Fan; Danny Gutfreund; Mathew Monfort; Aude Oliva; Bolei Zhou (ICCV, 2019)

Semantic Understanding of Scenes Through the ADE20K Dataset. - Bolei Zhou; Hang Zhao; Xavier Puig; Tete Xiao; Sanja Fidler; Adela Barriuso; Antonio Torralba 001 (Int. J. Comput. Vis., 2019)

Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. - Joanna Materzynska; Tete Xiao; Roei Herzig; Huijuan Xu 001; Xiaolong Wang 004; Trevor Darrell (CVPR, 2020)

Reducing Class Collapse in Metric Learning with Easy Positive Sampling. - Elad Levi; Tete Xiao; Xiaolong Wang 004; Trevor Darrell (CoRR, 2020)

Rethinking preventing class-collapsing in metric learning with margin-based losses. - Elad Levi; Tete Xiao; Xiaolong Wang 004; Trevor Darrell (ICCV, 2021)

Region Similarity Representation Learning. - Tete Xiao; Colorado J. Reed; Xiaolong Wang 004; Kurt Keutzer; Trevor Darrell (ICCV, 2021)

What Should Not Be Contrastive in Contrastive Learning. - Tete Xiao; Xiaolong Wang 004; Alexei A. Efros; Trevor Darrell (ICLR, 2021)

Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. - Qiang Zhang; Tete Xiao; Alexei A. Efros; Lerrel Pinto; Xiaolong Wang 004 (ICLR, 2021)

Early Convolutions Help Transformers See Better. - Tete Xiao; Mannat Singh; Eric Mintun; Trevor Darrell; Piotr Dollár; Ross B. Girshick (NeurIPS, 2021)

Real-World Robot Learning with Masked Visual Pre-training. - Ilija Radosavovic; Tete Xiao; Stephen James; Pieter Abbeel; Jitendra Malik; Trevor Darrell (CoRL, 2022)

Masked Visual Pre-training for Motor Control. - Tete Xiao; Ilija Radosavovic; Trevor Darrell; Jitendra Malik (CoRR, 2022)

Segment Anything. - 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 (ICCV, 2023)

Learning Humanoid Locomotion with Transformers. - Ilija Radosavovic; Tete Xiao; Bike Zhang; Trevor Darrell; Jitendra Malik; Koushil Sreenath (CoRR, 2023)

Scalable Representations for Vision and Robotics - Tete Xiao (2023)

Real-world humanoid locomotion with reinforcement learning. - Ilija Radosavovic; Tete Xiao; Bike Zhang; Trevor Darrell; Jitendra Malik; Koushil Sreenath (Sci. Robotics, 2024)