Jin, Yi

23 publications

ICCV 2025 HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models Zhixiang Wei, Guangting Wang, Xiaoxiao Ma, Ke Mei, Huaian Chen, Yi Jin, Fengyun Rao

CVPR 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration Yuxuan Gu, Haoxuan Wang, Pengyang Ling, Zhixiang Wei, Huaian Chen, Yi Jin, Enhong Chen

CVPR 2025 Integral Fast Fourier Color Constancy Wenjun Wei, Yanlin Qian, Huaian Chen, Junkang Dai, Yi Jin

ICLR 2025 MotionClone: Training-Free Motion Cloning for Controllable Video Generation Pengyang Ling, Jiazi Bu, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Tong Wu, Huaian Chen, Jiaqi Wang, Yi Jin

NeurIPS 2024 DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling

CVPR 2024 FreeDrag: Feature Dragging for Reliable Point-Based Image Editing Pengyang Ling, Lin Chen, Pan Zhang, Huaian Chen, Yi Jin, Jinjin Zheng

NeurIPS 2024 Masked Pre-Training Enables Universal Zero-Shot Denoiser Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen

CVPRW 2024 Real-Time 4k Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey Marcos V. Conde, Zhijun Lei, Wen Li, Ioannis Katsavounidis, Radu Timofte, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Zhiyuan Li, Hao Wei, Chenyang Ge, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Menghan Zhou, Yiqiang Yan, Kihwan Yoon, Ganzorig Gankhuyag, Jae-Hyeon Lee, Ui-Jin Choi, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin

CVPR 2024 Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation Zhixiang Wei, Lin Chen, Yi Jin, Xiaoxiao Ma, Tianle Liu, Pengyang Ling, Ben Wang, Huaian Chen, Jinjin Zheng

ICCV 2023 Disentangle Then Parse: Night-Time Semantic Segmentation with Illumination Disentanglement Zhixiang Wei, Lin Chen, Tao Tu, Pengyang Ling, Huaian Chen, Yi Jin

AAAI 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang

NeurIPS 2022 Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation Lin Chen, Zhixiang Wei, Xin Jin, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin

CVPR 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen

IJCAI 2021 GM-MLIC: Graph Matching Based Multi-Label Image Classification Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu

AAAI 2021 Unsupervised Domain Adaptation for Person Re-Identification via Heterogeneous Graph Alignment Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin

AAAI 2020 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing

ECML-PKDD 2020 Partial Label Learning via Self-Paced Curriculum Strategy Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li

AAAI 2019 Partial Multi-Label Learning by Low-Rank and Sparse Decomposition Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin

ICCV 2017 Robust Object Tracking Based on Temporal and Spatial Deep Networks Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin

JAIR 2008 Compositional Belief Update James P. Delgrande, Yi Jin, Francis Jeffry Pelletier

AAAI 2008 Parallel Belief Revision James P. Delgrande, Yi Jin

AAAI 2007 Mutual Belief Revision: Semantics and Computation Yi Jin, Michael Thielscher, Dongmo Zhang

IJCAI 2005 Iterated Belief Revision, Revised Yi Jin, Michael Thielscher