| Long-tailed Recognition by Routing Diverse Distribution-Aware Experts X Wang, L Lian, Z Miao, Z Liu, SX Yu International Conference on Learning Representations (ICLR), 2021 | 340 | 2021 |
| Towards Universal Object Detection by Domain Attention X Wang, Z Cai, D Gao, N Vasconcelos IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 212 | 2019 |
| Feature Space Transfer for Data Augmentation B Liu, X Wang, M Dixit, R Kwitt, N Vasconcelos IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 111 | 2018 |
| Cut and Learn for Unsupervised Object Detection and Instance Segmentation X Wang, R Girdhar, SX Yu, I Misra IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 95 | 2023 |
| Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination X Wang, Z Liu, SX Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 92* | 2021 |
| Volumetric Attention for 3D Medical Image Segmentation and Detection X Wang, S Han, Y Chen, D Gao, N Vasconcelos International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 90 | 2019 |
| Debiased Learning from Naturally Imbalanced Pseudo-Labels X Wang, Z Wu, L Lian, SX Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 65 | 2022 |
| Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers TW Ke, JJ Hwang, Y Guo, X Wang, SX Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 35 | 2022 |
| Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Y Guo, X Wang, Y Chen, SX Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 33* | 2022 |
| Unsupervised Selective Labeling for More Effective Semi-Supervised Learning X Wang, L Lian, SX Yu European Conference on Computer Vision (ECCV), 427-445, 2022 | 28* | 2022 |
| Unsupervised Visual Attention and Invariance for Reinforcement Learning X Wang, L Lian, SX Yu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 27 | 2021 |
| Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters X Wang, XY Stella The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021 | 22 | 2021 |
| Hierarchical Open-vocabulary Universal Image Segmentation X Wang, S Li, K Kallidromitis, Y Kato, K Kozuka, T Darrell Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 14 | 2023 |
| See, Say, and Segment: Teaching LMMs to Overcome False Premises TH Wu, G Biamby, D Chan, L Dunlap, R Gupta, X Wang, JE Gonzalez, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 6 | 2024 |
| Unsupervised Universal Image Segmentation D Niu*, X Wang*, X Han*, L Lian, R Herzig, T Darrell IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 2 | 2024 |
| VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation X Wang, I Misra, Z Zeng, R Girdhar, T Darrell IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 2 | 2024 |
| InstanceDiffusion: Instance-level Control for Image Generation X Wang, T Darrell, SS Rambhatla, R Girdhar, I Misra IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
| Rethinking Patch Dependence for Masked Autoencoders L Fu, L Lian, R Wang, B Shi, X Wang, A Yala, T Darrell, AA Efros, ... arXiv preprint arXiv:2401.14391, 2024 | | 2024 |
| Debiased Learning for Remote Sensing Data CH Yeh, X Wang, SX Yu, C Hill, Z Steck, S Kangas, A Reite arXiv preprint arXiv:2312.15393, 2023 | | 2023 |
Stella X. YuProfessor of EECS, University of MichiganVerified email at umich.edu
