Xudong Wang

According to our database, Xudong Wang authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Segment Anything without Supervision.

Xudong Wang, Jingfeng Yang, Trevor Darrell

CoRR, 2024

Rethinking Patch Dependence for Masked Autoencoders.

Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg

CoRR, 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, Joseph E. Gonzalez, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Universal Image Segmentation.

Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation.

Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

InstanceDiffusion: Instance-Level Control for Image Generation.

Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Debiased Learning for Remote Sensing Data.

Chun-Hsiao Yeh, Xudong Wang, Stella X. Yu, Charles Hill, Zackery Steck, Scott Kangas, Aaron A. Reite

CoRR, 2023

Hierarchical Open-vocabulary Universal Image Segmentation.

Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cut and Learn for Unsupervised Object Detection and Instance Segmentation.

Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

CoRR, 2022

Unsupervised Selective Labeling for More Effective Semi-supervised Learning.

Xudong Wang, Long Lian, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers.

Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers.

Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Data-Centric Semi-Supervised Learning.

Xudong Wang, Long Lian, Stella X. Yu

CoRR, 2021

Free Hyperbolic Neural Networks with Limited Radii.

Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu

CoRR, 2021

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts.

Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Visual Attention and Invariance for Reinforcement Learning.

Xudong Wang, Long Lian, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination.

Xudong Wang, Ziwei Liu, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters.

Xudong Wang, Stella X. Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups.

Xudong Wang, Ziwei Liu, Stella X. Yu

CoRR, 2020

2019

Volumetric Attention for 3D Medical Image Segmentation and Detection.

Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Towards Universal Object Detection by Domain Attention.

Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Feature Space Transfer for Data Augmentation.

Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018