All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey. - Yunfan Lu; Yiqi Lin; Hao Wu 094; Yunhao Luo 001; Xu Zheng 002; Lin Wang 025 (CoRR, 2022)

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. - Xu Zheng 002; Yunhao Luo 001; Hao Wang 005; Chong Fu 001; Lin Wang 025 (CoRR, 2022)

Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. - Xu Zheng 002; Tianbo Pan; Yunhao Luo 001; Lin Wang 025 (ICCV, 2023)

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. - Jinjing Zhu; Yunhao Luo 001; Xu Zheng 002; Hao Wang 005; Lin Wang 025 (ICCV, 2023)

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks. - Qingqiao Hu; Hao Wang 005; Jing Luo; Yunhao Luo 001; Zhiheng Zhang; Jan S. Kirschke; Benedikt Wiestler; Bjoern H. Menze; Jianguo Zhang 001; Hongwei Bran Li (CoRR, 2023)

Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data. - Daoan Zhang; Yunhao Luo 001; Jianguo Zhang 001 (CoRR, 2023)

Potential Based Diffusion Motion Planning. - Yunhao Luo 001; Chen Sun 002; Joshua B. Tenenbaum; Yilun Du (ICML, 2024)

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. - Xu Zheng 002; Yunhao Luo 001; Chong Fu 001; Kangcheng Liu; Lin Wang 025 (ICRA, 2024)

Grounding Video Models to Actions through Goal Conditioned Exploration. - Yunhao Luo 001; Yilun Du (ICLR, 2025)

Distilling efficient Vision Transformers from CNNs for semantic segmentation. - Xu Zheng 002; Yunhao Luo 001; Pengyuan Zhou; Lin Wang 025 (Pattern Recognit., 2025)

Generative Trajectory Stitching through Diffusion Composition. - Yunhao Luo 001; Utkarsh A. Mishra; Yilun Du; Danfei Xu (CoRR, 2025)