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ORCIDJinjin Gu
顾金锦
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- unicode name: 顾金锦
- affiliation: Sofia University, Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), Sofia, Bulgaria
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2020 – today
- 2026
[j9]Jinfan Hu
, Zhiyuan You, Jinjin Gu, Kaiwen Zhu, Tianfan Xue, Chao Dong:
Revisiting the generalization problem of low-level vision models through the lens of image deraining. Pattern Recognit. 179: 113578 (2026)- [c44]Xiyuan Zhou, Xinlei Wang, Yirui He, Ruixi Zou, Yang Wu, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao:
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving. ACL (Findings) 2026: 36308-36334 - [c43]Guoan Liu, ZhiJian Fang, Jinjin Gu:
LogicSGL: Uncertainty-Calibrated Structure-Level LLM Distillation for Sparse and Noisy Interaction Graphs. ICIC (4) 2026: 131-142 - [i66]Kaiwen Zhu, Quansheng Zeng, Yuandong Pu, Shuo Cao, Xiaohui Li, Yi Xin, Qi Qin, Jiayang Li, Yu Qiao, Jinjin Gu, Yihao Liu:
Accelerating Masked Image Generation by Learning Latent Controlled Dynamics. CoRR abs/2602.23996 (2026) - [i65]Jinfan Hu, Fanghua Yu, Zhiyuan You, Xiang Yin, Hongyu An, Xinqi Lin, Chao Dong, Jinjin Gu:
Position: Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered. CoRR abs/2603.00643 (2026) - [i64]Xiang Yin, Jinfan Hu, Zhiyuan You, Kainan Yan, Yu Tang, Chao Dong, Jinjin Gu:
How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices. CoRR abs/2603.05010 (2026) - [i63]Xinlei Wang, Ruibo Ming, Jing Qiu, Junhua Zhao, Jinjin Gu:
Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale. CoRR abs/2605.01549 (2026) - [i62]Xiyuan Zhou, Ruixi Zou, Xinlei Wang, Yuheng Cheng, Yan Xu, Junhua Zhao, Jinjin Gu:
EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions. CoRR abs/2605.02289 (2026) - 2025
- [j8]Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong:
Interpreting Low-Level Vision Models With Causal Effect Maps. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 6396-6409 (2025) - [j7]Zhiyuan You, Jinjin Gu, Xin Cai, Zheyuan Li, Kaiwen Zhu, Chao Dong, Tianfan Xue:
Enhancing Descriptive Image Quality Assessment With a Large-Scale Multi-Modal Dataset. IEEE Trans. Image Process. 34: 8201-8215 (2025) - [j6]Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu, Chao Dong:
Harnessing Diffusion-Yielded Score Priors for Image Restoration. ACM Trans. Graph. 44(6): 208:1-208:21 (2025) - [c42]Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong:
Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution. CVPR 2025: 14483-14494 - [c41]Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng:
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model. ICLR 2025 - [c40]Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong:
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models. ICLR 2025 - [c39]Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong:
An Intelligent Agentic System for Complex Image Restoration Problems. ICLR 2025 - [i61]Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong:
Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution. CoRR abs/2501.11561 (2025) - [i60]Jinfan Hu, Zhiyuan You, Jinjin Gu, Kaiwen Zhu, Tianfan Xue, Chao Dong:
Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining. CoRR abs/2502.12600 (2025) - [i59]Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong:
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models. CoRR abs/2503.17221 (2025) - [i58]Jinjin Gu:
Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing. CoRR abs/2505.16007 (2025) - [i57]Haoyu Chen, Keda Tao, Yizao Wang, Xinlei Wang, Lei Zhu, Jinjin Gu:
PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents. CoRR abs/2505.23130 (2025) - [i56]Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu, Chao Dong:
Harnessing Diffusion-Yielded Score Priors for Image Restoration. CoRR abs/2507.20590 (2025) - [i55]Xiyuan Zhou, Xinlei Wang, Yirui He, Yang Wu, Ruixi Zou, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao:
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving. CoRR abs/2509.17677 (2025) - [i54]Qingyu Yin, Chak Tou Leong, Linyi Yang, Wenxuan Huang, Wenjie Li, Xiting Wang, Jaehong Yoon, YunXing, XingYu, Jinjin Gu:
Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning? CoRR abs/2510.06036 (2025) - [i53]Xinlei Wang, Mingtian Tan, Jing Qiu, Junhua Zhao, Jinjin Gu:
Toward Reasoning-Centric Time-Series Analysis. CoRR abs/2510.13029 (2025) - [i52]Zhiyuan You, Ke Wang, He Zhang, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong, Zhoutong Zhang:
PhotoFramer: Multi-modal Image Composition Instruction. CoRR abs/2512.00993 (2025) - [i51]Qingyu Yin, Yulun Wu, Zhennan Shen, Sunbowen Li, Zhilin Wang, Yanshu Li, Chak Tou Leong, Jiale Kang, Jinjin Gu:
Evaluating Parameter Efficient Methods for RLVR. CoRR abs/2512.23165 (2025) - 2024
- [c38]Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong:
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. CVPR 2024: 25669-25680 - [c37]Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, Lei Zhu:
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning. CVPR 2024: 25857-25867 - [c36]Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong:
Depicting Beyond Scores: Advancing Image Quality Assessment Through Multi-modal Language Models. ECCV (47) 2024: 259-276 - [c35]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang:
Recursive Generalization Transformer for Image Super-Resolution. ICLR 2024 - [c34]Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang:
Xformer: Hybrid X-Shaped Transformer for Image Denoising. ICLR 2024 - [c33]Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu:
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. NeurIPS 2024 - [c32]Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao:
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection. NeurIPS 2024 - [i50]Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong:
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. CoRR abs/2401.13627 (2024) - [i49]Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, Lei Zhu:
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning. CoRR abs/2403.02601 (2024) - [i48]Boyang Zheng, Jinjin Gu, Shijun Li, Chao Dong:
LM4LV: A Frozen Large Language Model for Low-level Vision Tasks. CoRR abs/2405.15734 (2024) - [i47]Zhiyuan You, Jinjin Gu, Zheyuan Li, Xin Cai, Kaiwen Zhu, Tianfan Xue, Chao Dong:
Descriptive Image Quality Assessment in the Wild. CoRR abs/2405.18842 (2024) - [i46]Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu:
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. CoRR abs/2407.18035 (2024) - [i45]Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong:
Interpreting Low-level Vision Models with Causal Effect Maps. CoRR abs/2407.19789 (2024) - [i44]Xiangtao Kong, Jinjin Gu, Yihao Liu, Wenlong Zhang, Xiangyu Chen, Yu Qiao, Chao Dong:
A Preliminary Exploration Towards General Image Restoration. CoRR abs/2408.15143 (2024) - [i43]Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao:
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection. CoRR abs/2409.17515 (2024) - [i42]Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng:
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model. CoRR abs/2410.04161 (2024) - [i41]Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong:
An Intelligent Agentic System for Complex Image Restoration Problems. CoRR abs/2410.17809 (2024) - 2023
- [j5]Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5461-5480 (2023) - [j4]Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong:
Evaluating the Generalization Ability of Super-Resolution Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14497-14513 (2023) - [c31]Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-resolution Models. AAAI 2023: 2956-2964 - [c30]Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu:
Masked Image Training for Generalizable Deep Image Denoising. CVPR 2023: 1692-1703 - [c29]Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong:
DegAE: A New Pretraining Paradigm for Low-Level Vision. CVPR 2023: 23292-23303 - [c28]Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren:
Self-Supervised Intensity-Event Stereo Matching. Imaging Sensors and Systems 2023: 1-16 - [c27]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. ICCV 2023: 12278-12287 - [c26]Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu:
Snow Removal in Video: A New Dataset and A Novel Method. ICCV 2023: 13165-13176 - [c25]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. ICLR 2023 - [c24]Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang:
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. ICML 2023: 41078-41091 - [c23]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. NeurIPS 2023 - [c22]Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong:
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining. NeurIPS 2023 - [i40]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang:
Recursive Generalization Transformer for Image Super-Resolution. CoRR abs/2303.06373 (2023) - [i39]Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang:
Xformer: Hybrid X-Shaped Transformer for Image Denoising. CoRR abs/2303.06440 (2023) - [i38]Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu:
Masked Image Training for Generalizable Deep Image Denoising. CoRR abs/2303.13132 (2023) - [i37]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. CoRR abs/2305.12966 (2023) - [i36]Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong:
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining. CoRR abs/2305.15134 (2023) - [i35]Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang:
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. CoRR abs/2305.18107 (2023) - [i34]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu:
Dual Aggregation Transformer for Image Super-Resolution. CoRR abs/2308.03364 (2023) - [i33]Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, Xiaokang Yang:
Image Super-Resolution with Text Prompt Diffusion. CoRR abs/2311.14282 (2023) - [i32]Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang:
Binarized 3D Whole-body Human Mesh Recovery. CoRR abs/2311.14323 (2023) - [i31]Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong:
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models. CoRR abs/2312.08962 (2023) - 2022
- [j3]Jinjin Gu, Xinlei Wang, Chenang Li, Junhua Zhao, Weijin Fu, Gaoqi Liang, Jing Qiu:
AI-enabled image fraud in scientific publications. Patterns 3(7): 100511 (2022) - [c21]Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong:
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CVPR Workshops 2022: 832-842 - [c20]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2022: 950-966 - [c19]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237 - [c18]Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister:
Texture-based Error Analysis for Image Super-Resolution. CVPR 2022: 2108-2117 - [c17]Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Reflash Dropout in Image Super-Resolution. CVPR 2022: 5992-6002 - [c16]Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution Using Vast-Receptive-Field Attention. ECCV Workshops (2) 2022: 256-272 - [c15]Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan:
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV (19) 2022: 583-598 - [c14]Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren:
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. ICCP 2022: 1-12 - [c13]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. NeurIPS 2022 - [c12]Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong:
Rethinking Alignment in Video Super-Resolution Transformers. NeurIPS 2022 - [i30]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022) - [i29]Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong:
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CoRR abs/2205.05996 (2022) - [i28]Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong:
Evaluating the Generalization Ability of Super-Resolution Networks. CoRR abs/2205.07019 (2022) - [i27]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CoRR abs/2206.11695 (2022) - [i26]Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong:
Rethinking Alignment in Video Super-Resolution Transformers. CoRR abs/2207.08494 (2022) - [i25]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. CoRR abs/2210.01427 (2022) - [i24]Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan:
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. CoRR abs/2210.04198 (2022) - [i23]Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution using Vast-Receptive-Field Attention. CoRR abs/2210.05960 (2022) - [i22]Zhengwen Zhang, Jinjin Gu, Junhua Zhao, Jianwei Huang, Haifeng Wu:
Near Real-time CO2 Emissions Based on Carbon Satellite and Artificial Intelligence. CoRR abs/2210.09850 (2022) - [i21]Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren:
Self-Supervised Intensity-Event Stereo Matching. CoRR abs/2211.00509 (2022) - [i20]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. CoRR abs/2211.13654 (2022) - [i19]Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-Resolution Models. CoRR abs/2212.07339 (2022) - 2021
- [c11]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2021: 677-690 - [c10]Jinjin Gu, Chao Dong:
Interpreting Super-Resolution Networks With Local Attribution Maps. CVPR 2021: 9199-9208 - [i18]Haoyu Chen, Jinjin Gu, Zhi Zhang:
Attention in Attention Network for Image Super-Resolution. CoRR abs/2104.09497 (2021) - [i17]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - [i16]Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. CoRR abs/2107.03055 (2021) - [i15]Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong:
Discovering "Semantics" in Super-Resolution Networks. CoRR abs/2108.00406 (2021) - [i14]Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Reflash Dropout in Image Super-Resolution. CoRR abs/2112.12089 (2021) - 2020
- [j2]Guolong Liu, Jinjin Gu, Junhua Zhao, Fushuan Wen, Gaoqi Liang:
Super Resolution Perception for Smart Meter Data. Inf. Sci. 526: 263-273 (2020) - [c9]Jinjin Gu, Yujun Shen, Bolei Zhou:
Image Processing Using Multi-Code GAN Prior. CVPR 2020: 3009-3018 - [c8]Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou:
Interpreting the Latent Space of GANs for Semantic Face Editing. CVPR 2020: 9240-9249 - [c7]Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. ECCV Workshops (4) 2020: 57-81 - [c6]Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong:
PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. ECCV (11) 2020: 633-651 - [i13]Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong:
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. CoRR abs/2007.12142 (2020) - [i12]Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. CoRR abs/2009.06290 (2020) - [i11]Jinjin Gu, Chao Dong:
Interpreting Super-Resolution Networks with Local Attribution Maps. CoRR abs/2011.11036 (2020) - [i10]Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong:
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric. CoRR abs/2011.15002 (2020)
2010 – 2019
- 2019
- [j1]Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han:
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model. Comput. Graph. Forum 38(7): 403-412 (2019) - [c5]Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong:
Blind Super-Resolution With Iterative Kernel Correction. CVPR 2019: 1604-1613 - [c4]Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. CVPR Workshops 2019: 1964-1973 - [c3]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [i9]Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han:
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model. CoRR abs/1902.11203 (2019) - [i8]Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong:
Blind Super-Resolution With Iterative Kernel Correction. CoRR abs/1904.03377 (2019) - [i7]Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin:
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. CoRR abs/1905.02538 (2019) - [i6]Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. CoRR abs/1906.04809 (2019) - [i5]Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou:
Interpreting the Latent Space of GANs for Semantic Face Editing. CoRR abs/1907.10786 (2019) - [i4]Jinjin Gu, Yujun Shen, Bolei Zhou:
Image Processing Using Multi-Code GAN Prior. CoRR abs/1912.07116 (2019) - 2018
- [c2]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. ECCV Workshops (5) 2018: 63-79 - [i3]Zhixiang Chi, Xiaolin Wu, Xiao Shu, Jinjin Gu:
Single Image Reflection Removal Using Deep Encoder-Decoder Network. CoRR abs/1802.00094 (2018) - [i2]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. CoRR abs/1809.00219 (2018) - [i1]Jinjin Gu, Guolong Liu, Gaoqi Liang, Junhua Zhao:
Super-Resolution Perception for Industrial Sensor Data. CoRR abs/1809.06687 (2018) - 2014
- [c1]Guanyu Yang, Jinjin Gu, Yang Chen, Wangyan Liu, Lijun Tang, Huazhong Shu, Christine Toumoulin:
Automatic kidney segmentation in CT images based on multi-atlas image registration. EMBC 2014: 5538-5541
Coauthor Index
[j9] [i65] [i64] [j8] [j7] [j6] [c42] [c40] [c39] [i61] [i60] [i59] [i56] [i52] [c38] [c36] [i50] [i48] [i47] [i45] [i44] [i41] [j5] [j4] [c31] [c30] [c29] [c24] [c22] [i38] [i36] [i35] [i31] [c21] [c20] [c19] [c17] [c16] [c14] [c12] [i30] [i29] [i28] [i27] [i26] [i23] [i19] [c11] [c10] [i17] [i16] [i15] [i14] [c6] [i13] [i11] [i10] [c5] [c4] [c3] [i8] [i7] [i6] [c2] [i2]
Jimmy S. J. Ren
aka: Jimmy S. Ren
aka: Jimmy S. Ren
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