Wu, Jinjian

18 publications

AAAI 2025 Asymmetric Hierarchical Difference-Aware Interaction Network for Event-Guided Motion Deblurring Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi

CVPRW 2025 NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Jie Liang, Radu Timofte, Qiaosi Yi, Zhengqiang Zhang, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Tianyu Hao, Lin Wang, Zhe Xiao, Pengzhou Ji, Shupeng Zhong, Xiangming Wang, Jiaqi Yan, Sishun Pan, Ce Wang, Yibin Huang, Zhang Sheng Wang, Haobo Liang, Zhenghao Pan, Jinjian Wu, Yushen Zuo, Yuanbo Zhou

NeurIPS 2025 Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong

CVPR 2024 Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li

NeurIPS 2024 E-Motion: Future Motion Simulation via Event Sequence Diffusion Song Wu, Zhiyu Zhu, Junhui Hou, Guangming Shi, Jinjian Wu

AAAI 2024 Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events Wen Yang, Jinjian Wu, Jupo Ma, Leida Li, Guangming Shi

AAAI 2024 Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment Yongxu Liu, Yinghui Quan, Guoyao Xiao, Aobo Li, Jinjian Wu

CVPR 2024 Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens Zhiwen Chen, Zhiyu Zhu, Yifan Zhang, Junhui Hou, Guangming Shi, Jinjian Wu

CVPR 2023 Self-Supervised Non-Uniform Kernel Estimation with Flow-Based Motion Prior for Blind Image Deblurring Zhenxuan Fang, Fangfang Wu, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi

AAAI 2022 Robust Depth Completion with Uncertainty-Driven Loss Functions Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi

ECCV 2022 Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi

ECCV 2022 Uncertainty Learning in Kernel Estimation for Multi-Stage Blind Image Super-Resolution Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi

CVPR 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi

NeurIPS 2021 Uncertainty-Driven Loss for Single Image Super-Resolution Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi

ICCV 2021 Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi

AAAI 2020 Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi

CVPRW 2019 Depth Image Quality Assessment for View Synthesis Based on Weighted Edge Similarity Leida Li, Xi Chen, Yu Zhou, Jinjian Wu, Guangming Shi

ICCVW 2017 Hierarchical Feature Degradation Based Blind Image Quality Assessment Jinjian Wu, Jichen Zeng, Yongxu Liu, Guangming Shi, Weisi Lin