Feature Space Transfer for Data Augmentation. - Bo Liu 043; Xudong Wang 007; Mandar Dixit; Roland Kwitt; Nuno Vasconcelos (CVPR, 2018)

Towards Universal Object Detection by Domain Attention. - Xudong Wang 007; Zhaowei Cai; Dashan Gao 001; Nuno Vasconcelos (CVPR, 2019)

Volumetric Attention for 3D Medical Image Segmentation and Detection. - Xudong Wang 007; Shizhong Han; Yunqiang Chen; Dashan Gao 001; Nuno Vasconcelos (MICCAI (6), 2019)

Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. - Xudong Wang 007; Ziwei Liu 002; Stella X. Yu (CoRR, 2020)

Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. - Xudong Wang 007; Stella X. Yu (AAAI, 2021)

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. - Xudong Wang 007; Ziwei Liu 002; Stella X. Yu (CVPR, 2021)

Unsupervised Visual Attention and Invariance for Reinforcement Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (CVPR, 2021)

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. - Xudong Wang 007; Long Lian; Zhongqi Miao; Ziwei Liu 002; Stella X. Yu (ICLR, 2021)

Free Hyperbolic Neural Networks with Limited Radii. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CoRR, 2021)

Data-Centric Semi-Supervised Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (CoRR, 2021)

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CVPR, 2022)

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. - Tsung-Wei Ke; Jyh-Jing Hwang; Yunhui Guo; Xudong Wang 007; Stella X. Yu (CVPR, 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CVPR, 2022)

Unsupervised Selective Labeling for More Effective Semi-supervised Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (ECCV (30), 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CoRR, 2022)

Cut and Learn for Unsupervised Object Detection and Instance Segmentation. - Xudong Wang 007; Rohit Girdhar; Stella X. Yu; Ishan Misra (CVPR, 2023)

Hierarchical Open-vocabulary Universal Image Segmentation. - Xudong Wang 007; Shufan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (NeurIPS, 2023)

Debiased Learning for Remote Sensing Data. - Chun-Hsiao Yeh; Xudong Wang 007; Stella X. Yu; Charles Hill; Zackery Steck; Scott Kangas; Aaron A. Reite (CoRR, 2023)

InstanceDiffusion: Instance-Level Control for Image Generation. - Xudong Wang 007; Trevor Darrell; Sai Saketh Rambhatla; Rohit Girdhar; Ishan Misra (CVPR, 2024)

VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. - Xudong Wang 007; Ishan Misra; Ziyun Zeng; Rohit Girdhar; Trevor Darrell (CVPR, 2024)

Unsupervised Universal Image Segmentation. - Dantong Niu; Xudong Wang 007; Xinyang Han; Long Lian; Roei Herzig; Trevor Darrell (CVPR, 2024)

See, Say, and Segment: Teaching LMMs to Overcome False Premises. - Tsung-Han Wu; Giscard Biamby; David M. Chan; Lisa Dunlap; Ritwik Gupta; Xudong Wang 007; Joseph E. Gonzalez; Trevor Darrell (CVPR, 2024)

Segment Anything without Supervision. - Xudong Wang 007; Jingfeng Yang; Trevor Darrell (NeurIPS, 2024)

SegLLM: Multi-round Reasoning Segmentation. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Konstantinos Kallidromitis; Kehan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (CoRR, 2024)

Visual Lexicon: Rich Image Features in Language Space. - Xudong Wang 007; Xingyi Zhou; Alireza Fathi; Trevor Darrell; Cordelia Schmid (CVPR, 2025)

SegLLM: Multi-round Reasoning Segmentation with Large Language Models. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Kehan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (ICLR, 2025)

Rethinking Patch Dependence for Masked Autoencoders. - Letian Fu; Long Lian; Renhao Wang; Baifeng Shi; Xudong Wang 007; Adam Yala; Trevor Darrell; Alexei A. Efros; Ken Goldberg (Trans. Mach. Learn. Res., 2025)

TULIP: Towards Unified Language-Image Pretraining. - Zineng Tang; Long Lian; Seun Eisape; Xudong Wang 007; Roei Herzig; Adam Yala; Alane Suhr; Trevor Darrell; David M. Chan (CoRR, 2025)