Liu, Yun

45 publications

CVPR 2025 CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement Yun Liu, Chengwen Zhang, Ruofan Xing, Bingda Tang, Bowen Yang, Li Yi

MLJ 2025 Correction to: Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

AAAI 2025 Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-Based Generative Adversarial Network Xinran Wang, Guang Yang, Tian Ye, Yun Liu

CVPR 2025 Exploiting Temporal State Space Sharing for Video Semantic Segmentation Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Henghui Ding, Jing Yang, Ender Konukoglu, Xue Geng, Xudong Jiang

CVPR 2025 Generalized Few-Shot 3D Point Cloud Segmentation with Vision-Language Model Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Junlin Han, Ender Konukoglu, Serge Belongie

AAAI 2025 J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain Yiran Hu, Huanghai Liu, Qingjing Chen, Ning Zheng, Chong Wang, Yun Liu, Charles L. A. Clarke, Weixing Shen

CVPR 2025 ManiVideo: Generating Hand-Object Manipulation Video with Dexterous and Generalizable Grasping Youxin Pang, Ruizhi Shao, Jiajun Zhang, Hanzhang Tu, Yun Liu, Boyao Zhou, Hongwen Zhang, Yebin Liu

ICLR 2025 Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge Belongie

NeurIPS 2025 RADAR: Benchmarking Language Models on Imperfect Tabular Data Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu

ICML 2025 Runtime Analysis of Evolutionary NAS for Multiclass Classification Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun

ICLR 2025 Scaling Wearable Foundation Models Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff

NeurIPS 2025 SensorLM: Learning the Language of Wearable Sensors Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang

CVPR 2025 SnowMaster: Comprehensive Real-World Image Desnowing via MLLM with Multi-Model Feedback Optimization Jianyu Lai, Sixiang Chen, Yunlong Lin, Tian Ye, Yun Liu, Song Fei, Zhaohu Xing, Hongtao Wu, Weiming Wang, Lei Zhu

ICCV 2025 SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis Wenkun He, Yun Liu, Ruitao Liu, Li Yi

NeurIPS 2025 Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts Chen Li, Huiying Xu, Changxin Gao, Zeyu Wang, Yun Liu, Xinzhong Zhu

MLJ 2024 Deep Negative Correlation Classification Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu

IJCAI 2024 LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels Zongyue Xue, Huanghai Liu, Yiran Hu, Yuliang Qian, Yajing Wang, Kangle Kong, Chenlu Wang, Yun Liu, Weixing Shen

CVPR 2024 Rethinking Few-Shot 3D Point Cloud Semantic Segmentation Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge Belongie

CVPR 2024 TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding Yun Liu, Haolin Yang, Xu Si, Ling Liu, Zipeng Li, Yuxiang Zhang, Yebin Liu, Li Yi

NeurIPSW 2024 Towards a Personal Health Large Language Model Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Zhun Yang, Yun Liu, Shyam A. Tailor, Tim Althoff, John B Hernandez, Yossi Matias, Greg Corrado, Shwetak Patel, Shravya Shetty, Jiening Zhan, Daniel McDuff, Cory Y McLean

ICCV 2023 Adverse Weather Removal with Codebook Priors Tian Ye, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue, Jingxia Jiang, Junjie Yin, Erkang Chen, Yun Liu

CVPR 2023 CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis Juntian Zheng, Qingyuan Zheng, Lixing Fang, Yun Liu, Li Yi

ICCV 2023 Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution Ao Li, Le Zhang, Yun Liu, Ce Zhu

CVPR 2023 Indiscernible Object Counting in Underwater Scenes Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool

CVPRW 2023 LSDIR: A Large Scale Dataset for Image Restoration Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool

ICCV 2023 UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang

AAAI 2023 Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive Feng Yao, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Yun Liu, Weixing Shen

CVPR 2022 Coarse-to-Fine Feature Mining for Video Semantic Segmentation Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool

CVPR 2022 HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, Li Yi

ECCV 2022 Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool

CVPRW 2022 Nighttime Image Dehazing Based on Variational Decomposition Model Yun Liu, Zhongsheng Yan, Aimin Wu, Tian Ye, Yuche Li

ECCV 2022 Perceiving and Modeling Density for Image Dehazing Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen

CVPRW 2022 Underwater Light Field Retention : Neural Rendering for Underwater Imaging Tian Ye, Sixiang Chen, Yun Liu, Yi Ye, Erkang Chen, Yuche Li

ICLR 2022 Zero Pixel Directional Boundary by Vector Transform Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool

CVPR 2021 DOTS: Decoupling Operation and Topology in Differentiable Architecture Search Yu-Chao Gu, Li-Juan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng

AAAI 2021 MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation Yu Qiu, Yun Liu, Shijie Li, Jing Xu

AAAI 2020 Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu

AAAI 2019 Adversarial Learning for Weakly-Supervised Social Network Alignment Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li

IJCAI 2018 DEL: Deep Embedding Learning for Efficient Image Segmentation Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shijie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng

CVPR 2017 Richer Convolutional Features for Edge Detection Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai

AAAI 2017 Semi-Supervised Classifications via Elastic and Robust Embedding Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

ICCV 2017 Structure-Measure: A New Way to Evaluate Foreground Maps Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Ali Borji

ECCV 2016 HFS: Hierarchical Feature Selection for Efficient Image Segmentation Ming-Ming Cheng, Yun Liu, Qibin Hou, Jiawang Bian, Philip H. S. Torr, Shi-Min Hu, Zhuowen Tu

MLHC 2016 Transferring Knowledge from Text to Predict Disease Onset Yun Liu, Collin Stultz, John Guttag, Kun-Ta Chuang, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su

IJCAI 2015 Discriminative Unsupervised Dimensionality Reduction Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang