Junjun Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
109
Venues
16
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
109 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Variation-Bounded Loss for Noise-Tolerant Learning. | Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li |
| 2026 | AAAI | Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining. | Zhaocheng Yu, Kui Jiang, Junjun Jiang, Xianming Liu, Guanglu Sun, Yi Xiao |
| 2025 | AAAI | CALLIC: Content Adaptive Learning for Lossless Image Compression. | Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao |
| 2025 | AAAI | Debiased All-in-one Image Restoration with Task Uncertainty Regularization. | Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu |
| 2025 | AAAI | Spatial Annealing for Efficient Few-shot Neural Rendering. | Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu |
| 2025 | CVPR | NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. | Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He |
| 2025 | CVPR | DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds. | Youyu Chen, Junjun Jiang, Kui Jiang, Xiao Tang, Zhihao Li, Xianming Liu, Yinyu Nie |
| 2025 | CVPR | Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. | Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang |
| 2025 | CVPR | The Fourth Monocular Depth Estimation Challenge. | Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad |
| 2025 | CVPR | NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Zhe Zhang, Yang Yang, Wu Chen, Anlong Ming, Mingshuai Zhao, Mengying Yu, Shida Gao, Xiangfeng Wang, Feng Xue, Jun Shi, Yong Yang, Yong A, Yixiang Jin, Dingzhe Li, Aryan Shukla, Liam Frija-Altarac, Matthew Toews, Hui Geng, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Zijian Zang, Jameer Babu Pinjari, Kuldeep Purohit, Mykola Lavreniuk, Jing Cao, Shenyi Li, Kui Jiang, Junjun Jiang, Yong Huang |
| 2025 | CVPR | COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting. | Jiaxin Zhang, Junjun Jiang, Youyu Chen, Kui Jiang, Xianming Liu |
| 2025 | ICCV | Balancing Task-Invariant Interaction and Task-Specific Adaptation for Unified Image Fusion. | Xingyu Hu, Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma |
| 2025 | ICCV | Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior. | Qing Ma, Pengwei Liang, Xiong Zhou, Jiayi Ma, Junjun Jiang, Zhe Peng |
| 2025 | ICCV | TRICKY 2025 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Doris Antensteiner, Markus Vincze, Benjamin Busam, Guangyao Zhai, Weihang Li, Junwen Huang, Hyunjun Jung, Mykola Lavreniuk, Pihai Sun, Yijun Luo, Hongtao Wang, Manying Gao, Kui Jiang, Junjun Jiang |
| 2025 | ICCV | Joint Asymmetric Loss for Learning with Noisy Labels. | Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2025 | IJCAI | Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather. | Kui Jiang, Jing Cao, Zhaocheng Yu, Junjun Jiang, Jingchun Zhou |
| 2025 | IROS | FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion. | Pihai Sun, Junjun Jiang, Yuanqi Yao, Youyu Chen, Wenbo Zhao, Kui Jiang, Xianming Liu |
| 2025 | ICRA | Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. | Jialei Xu, Rui Li, Kai Cheng, Junjun Jiang, Xianming Liu |
| 2024 | AAAI | Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. | Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu |
| 2024 | AAAI | FMRNet: Image Deraining via Frequency Mutual Revision. | Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma |
| 2024 | AAAI | Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. | Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu |
| 2024 | CVPR | MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. | Xin Jin, Chunle Guo, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun, Xiangyu Kong, Xiaoxia Xing, Jinlong Wu, Yuanyang Xue, Hyunhee Park, Sejun Song, Changho Kim, Jingfan Tan, Wenhan Luo, Zikun Liu, Mingde Qiao, Junjun Jiang, Kui Jiang, Yao Xiao, Chuyang Sun, Jinhui Hu, Weijian Ruan, Yubo Dong, Kai Chen, Hyejeong Jo, Jiahao Qin, Bingjie Han, Pinle Qin, Rui Chai, Pengyuan Wang |
| 2024 | CVPR | Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. | Jiahan Li, Jiuyang Dong, Shenjin Huang, Xi Li, Junjun Jiang, Xiaopeng Fan, Yongbing Zhang |
| 2024 | CVPR | OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. | Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu |
| 2024 | CVPR | Thermal Image Super-Resolution Challenge Results - PBVS 2024. | Rafael E. Rivadeneira, Angel Domingo Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen, Shiqi Wang |
| 2024 | CVPR | The Third Monocular Depth Estimation Challenge. | Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder |
| 2024 | ECCV | Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. | Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua |
| 2024 | ECCV | TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang |
| 2024 | ECCV | Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. | Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang |
| 2024 | ICIP | Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression. | Yutong Zhang, Wenbo Zhao, Daxin Li, Junjun Jiang, Xianming Liu |
| 2024 | ICLR | Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. | Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2024 | ICLR | Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. | Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji |
| 2024 | IROS | SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. | Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu |
| 2024 | VCIP | Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. | Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu |
| 2024 | VCIP | Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. | Qingbin Wei, Feilong Zhang, Yuanchao Bai, Deming Zhai, Junjun Jiang, Xianming Liu |
| 2023 | CVPR | NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang |
| 2023 | CVPR | Robust and Scalable Gaussian Process Regression and Its Applications. | Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang |
| 2023 | CVPR | Thermal Image Super-Resolution Challenge Results - PBVS 2023. | Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Shengye Li |
| 2023 | CVPR | Spatial-Frequency Mutual Learning for Face Super-Resolution. | Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu |
| 2023 | ICLR | Large Sparse Kernels for Federated Learning. | Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu |
| 2023 | ICML | No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. | Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji |
| 2022 | AAAI | Towards End-to-End Image Compression and Analysis with Transformers. | Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao |
| 2022 | AAAI | SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. | Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao |
| 2022 | AAAI | Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. | Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji |
| 2022 | CVPR | Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. | Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang |
| 2022 | CVPR | From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. | Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma |
| 2022 | CVPR | GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. | Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu |
| 2022 | CVPR | Thermal Image Super-Resolution Challenge Results - PBVS 2022. | Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang |
| 2022 | CVPR | NTIRE 2022 Image Inpainting Challenge: Report. | Andrs Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang |
| 2022 | CVPR | Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. | Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji |
| 2022 | CVPR | Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. | Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2022 | ECCV | Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun |
| 2022 | ECCV | Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. | Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma |
| 2022 | ECCV | Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. | Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang |
| 2022 | ECCV | LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. | Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang |
| 2022 | ICLR | Learning Towards The Largest Margins. | Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2022 | ICML | Prototype-Anchored Learning for Learning with Imperfect Annotations. | Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2022 | IJCAI | DANet: Image Deraining via Dynamic Association Learning. | Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin |
| 2021 | CVPR | Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. | Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji |
| 2021 | ICCV | Omniscient Video Super-Resolution. | Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma |
| 2021 | ICCV | Learning with Noisy Labels via Sparse Regularization. | Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2021 | ICML | Asymmetric Loss Functions for Learning with Noisy Labels. | Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2020 | AAAI | FusionDN: A Unified Densely Connected Network for Image Fusion. | Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, Xiaojie Guo |
| 2020 | CVPR | Multi-Scale Progressive Fusion Network for Single Image Deraining. | Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang |
| 2020 | ECCV | Geometric Estimation via Robust Subspace Recovery. | Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma |
| 2020 | ICASSP | Attention-Guided Deraining Network Via Stage-Wise Learning. | Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang |
| 2020 | ICASSP | Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. | Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu |
| 2020 | ICASSP | ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. | Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu |
| 2020 | ICIP | Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. | Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang |
| 2020 | MMM | Lyrics-Conditioned Neural Melody Generation. | Yi Yu, Florian Harscot, Simon Canales, Gurunath Reddy M, Suhua Tang, Junjun Jiang |
| 2019 | CVPR | NTIRE 2019 Challenge on Image Enhancement: Methods and Results. | Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi |
| 2019 | CVPR | NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. | Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo |
| 2019 | ICASSP | Image Super-resolution via Deep Aggregation Network. | Xinya Wang, Jiayi Ma, Junjun Jiang |
| 2019 | ICCV | Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations. | Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma |
| 2019 | IJCAI | Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. | Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma |
| 2018 | ICASSP | Residual Learning for Face Sketch Synthesis. | Junjun Jiang, Yi Yu, Zheng Wang, Jiayi Ma |
| 2018 | ICASSP | Feature Matching Based on Top K Rank Similarity. | Junjun Jiang, Qing Ma, Tao Lu, Zhongyuan Wang, Jiayi Ma |
| 2018 | ICIP | Face Hallucination Using Manifold-Regularized Group Locality-Constrained Representation. | Tao Lu, Kangli Zeng, Junjun Jiang, Yanduo Zhang, Wei He, Zhongyuan Wang, Huabing Zhou |
| 2018 | IJCAI | Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. | Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma |
| 2018 | ICRA | Visual Homing via Guided Locality Preserving Matching. | Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou, Yu Zhou, Zheng Wang, Xiaojie Guo |
| 2018 | MMM | Reinforcing Pedestrian Parsing on Small Scale Dataset. | Qi Zheng, Jun Chen, Junjun Jiang, Ruimin Hu |
| 2017 | AAAI | Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. | Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou |
| 2017 | ICIP | Face hallucination using region-based deep convolutional networks. | Tao Lu, Hao Wang, Zixiang Xiong, Junjun Jiang, Yanduo Zhang, Huabing Zhou, Zhongyuan Wang |
| 2017 | IJCAI | Locality Preserving Matching. | Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, Yuan Gao |
| 2016 | ICASSP | Hyperspectral image classification using set-to-set distance. | Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai |
| 2016 | ICASSP | L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise. | Junjun Jiang, Zhongyuan Wang, Chen Chen, Tao Lu |
| 2016 | IJCAI | Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface. | Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Chao Liang, Jinqiao Wang |
| 2016 | IJCAI | 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. | Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu |
| 2016 | MMM | Face Image Super-Resolution Through Improved Neighbor Embedding. | Kebin Huang, Ruimin Hu, Junjun Jiang, Zhen Han, Feng Wang |
| 2016 | VCIP | Smooth sparse representation for noise robust face super-resolution. | Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Tao Lu |
| 2016 | VCIP | Multimodal retinal image registration using edge map and feature guided Gaussian mixture model. | Jiayi Ma, Junjun Jiang, Jun Chen, Chengyin Liu, Chang Li |
| 2016 | VCIP | Hyperspectral image denoising with segmentation-based low rank representation. | Jiayi Ma, Junjun Jiang, Chang Li |
| 2015 | ICASSP | Face hallucination via Cauchy regularized sparse representation. | Shenming Qu, Ruimin Hu, Shihong Chen, Zhongyuan Wang, Junjun Jiang, Cheng Yang |
| 2015 | ISVC | Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition. | Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang |
| 2015 | MMM | Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition. | Junjun Jiang, Ruimin Hu, Zhen Han, Liang Chen, Jun Chen |
| 2015 | MMM | Person Re-identification Using Data-Driven Metric Adaptation. | Zheng Wang, Ruimin Hu, Chao Liang, Junjun Jiang, Kaimin Sun, Qingming Leng, Bingyue Huang |
| 2014 | ICIP | Gabor-based patch covariance matrix for face sketch synthesis. | Jian Guan, Ruimin Hu, Junjun Jiang, Zhen Han |
| 2014 | ISCAS | Efficient learning based face hallucination approach via facial standard deviation prior. | Liang Chen, Ruimin Hu, Junjun Jiang, Zhen Han |
| 2013 | ICASSP | Manifold regularized sparse support regression for single image super-resolution. | Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Shi Dong |
| 2013 | ICASSP | Face hallucination via weighted sparse representation. | Zhongyuan Wang, Junjun Jiang, Zixiang Xiong, Ruimin Hu, Zhenfeng Shao |
| 2013 | ICIP | A joint learning based face hallucination approach for low quality face image. | Liang Chen, Ruimin Hu, Zhen Han, Yang Xia, Junjun Jiang |
| 2013 | ICIP | Coupled-layer neighbor embedding for surveillance face hallucination. | Junjun Jiang, Ruimin Hu, Liang Chen, Zhen Han, Tao Lu, Jun Chen |
| 2013 | ISCAS | Support-driven sparse coding for face hallucination. | Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zixiang Xiong, Zhen Han |
| 2013 | ISCAS | Robust super-resolution for face images via principle component sparse representation and least squares regression. | Tao Lu, Ruimin Hu, Zhen Han, Junjun Jiang, Yang Xia |
| 2013 | VCIP | From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation. | Tao Lu, Ruimin Hu, Zhen Han, Junjun Jiang, Yanduo Zhang |
| 2012 | ICASSP | A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding. | Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang |
| 2012 | ICIP | Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face recognition. | Junjun Jiang, Ruimin Hu, Zhen Han, Kebin Huang, Tao Lu |
| 2012 | ICPR | Face hallucination via K-selection mean constrained sparse representation. | Kebin Huang, Ruimin Hu, Zhen Han, Tao Lu, Junjun Jiang, Feng Wang |
| 2012 | ISCAS | Surveillance face hallucination via variable selection and manifold learning. | Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang |