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2025
[j148]
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Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji:
Enhancing consistency and mitigating bias: A data replay approach for incremental learning. Neural Networks 184: 107053 (2025)
[j147]
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Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. IEEE Trans. Image Process. 34: 113-125 (2025)
[j146]
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Jiayang Li, Junjun Jiang, Pengwei Liang, Jiayi Ma, Liqiang Nie:
MaeFuse: Transferring Omni Features With Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training. IEEE Trans. Image Process. 34: 1340-1353 (2025)
[j145]
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Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Image Deblurring by Exploring In-Depth Properties of Transformer. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4652-4663 (2025)
[c131]
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  - conf/aaai/LiBWJL025
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Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
CALLIC: Content Adaptive Learning for Lossless Image Compression. AAAI 2025: 4679-4688
[c130]
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  - conf/aaai/WuJWJL25
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Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu:
Debiased All-in-one Image Restoration with Task Uncertainty Regularization. AAAI 2025: 8386-8394
[c129]
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Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu:
Spatial Annealing for Efficient Few-shot Neural Rendering. AAAI 2025: 8691-8699
[i86]
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  - journals/corr/abs-2502-21130
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Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang:
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. CoRR abs/2502.21130 (2025)
[i85]
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  - journals/corr/abs-2503-18402
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Youyu Chen, Junjun Jiang, Kui Jiang, Xiao Tang, Zhihao Li, Xianming Liu, Yinyu Nie:
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds. CoRR abs/2503.18402 (2025)
[i84]
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  - journals/corr/abs-2503-19443
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Jiaxin Zhang, Junjun Jiang, Youyu Chen, Kui Jiang, Xianming Liu:
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting. CoRR abs/2503.19443 (2025)
[i83]
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  - journals/corr/abs-2503-19739
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Pihai Sun, Junjun Jiang, Yuanqi Yao, Youyu Chen, Wenbo Zhao, Kui Jiang, Xianming Liu:
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion. CoRR abs/2503.19739 (2025)
[i82]
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  - journals/corr/abs-2503-23356
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Linfeng Tang, Yeda Wang, Zhanchuan Cai, Junjun Jiang, Jiayi Ma:
ControlFusion: A Controllable Image Fusion Framework with Language-Vision Degradation Prompts. CoRR abs/2503.23356 (2025)
2024
[j144]
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Yueqi Li, Jingyi Li, Wenxing Li, Shuaiyi Liang, Wudi Wei, Jiemei Chu, Jingzhen Lai, Yao Lin, Hubin Chen, Jinming Su, Xiaopeng Hu, Gang Wang, Jun Meng, Junjun Jiang, Li Ye, Sanqi An:
Scm6A: A Fast and Low-cost Method for Quantifying m6A Modifications at the Single-cell Level. Genom. Proteom. Bioinform. 22(1) (2024)
[j143]
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Qian Hu, Jiayi Ma, Yuan Gao, Junjun Jiang, Yixuan Yuan:
MAUN: Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction. IEEE CAA J. Autom. Sinica 11(5): 1139-1150 (2024)
[j142]
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Kui Jiang, Ruoxi Wang, Yi Xiao, Junjun Jiang, Xin Xu, Tao Lu:
Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning. IEEE CAA J. Autom. Sinica 11(11): 2253-2269 (2024)
[j141]
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Shiyi Lin, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji:
Overhead-free Noise-tolerant Federated Learning: A New Baseline. Mach. Intell. Res. 21(3): 526-537 (2024)
[j140]
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution. Mach. Intell. Res. 21(6): 1062-1076 (2024)
[j139]
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Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Reciprocal transformer for hyperspectral and multispectral image fusion. Inf. Fusion 104: 102148 (2024)
[j138]
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  - journals/staeors/ZhaoLZJWX24
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Kanghui Zhao, Tao Lu, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong:
Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 5527-5540 (2024)
[j137]
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Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
SPADNet: Structure Prior-Aware Dynamic Network for Face Super-Resolution. IEEE Trans. Biom. Behav. Identity Sci. 6(3): 326-340 (2024)
[j136]
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Ziqi Bai, Xianming Liu, Cheng Guo, Kui Jiang, Junjun Jiang, Xiangyang Ji:
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction. IEEE Trans. Computational Imaging 10: 560-573 (2024)
[j135]
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Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring. IEEE Trans. Computational Imaging 10: 1207-1220 (2024)
[j134]
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Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9606-9619 (2024)
[j133]
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  - journals/tgrs/ZhangZWZJM24
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Shijie Zhang, Bin Zhang, Yuntao Wu, Huabing Zhou, Junjun Jiang, Jiayi Ma:
SegCLIP: Multimodal Visual-Language and Prompt Learning for High-Resolution Remote Sensing Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
[j132]
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Kanghui Zhao, Tao Lu, Jiaming Wang, Yanduo Zhang, Junjun Jiang, Zixiang Xiong:
Hyper-Laplacian Prior for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j131]
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Xingyu Hu, Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Incrementally Adapting Pretrained Model Using Network Prior for Multi-Focus Image Fusion. IEEE Trans. Image Process. 33: 3950-3963 (2024)
[j130]
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Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. IEEE Trans. Image Process. 33: 3964-3976 (2024)
[j129]
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Qian Hu, Xinya Wang, Junjun Jiang, Xiao-Ping Zhang, Jiayi Ma:
Exploring the Spectral Prior for Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 33: 5260-5272 (2024)
[j128]
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Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach. IEEE Trans. Image Process. 33: 6071-6082 (2024)
[j127]
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  - journals/tnn/LuWZJWX24
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Tao Lu, Yuanzhi Wang, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong:
Rethinking Prior-Guided Face Super-Resolution: A New Paradigm With Facial Component Prior. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3938-3952 (2024)
[j126]
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  - journals/tnn/WangJZL24
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Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7899-7910 (2024)
[j125]
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Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12236-12250 (2024)
[j124]
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Gang Wu, Junjun Jiang, Xianming Liu:
A Practical Contrastive Learning Framework for Single-Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15834-15845 (2024)
[j123]
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Peng Yi, Zhongyuan Wang, Laigan Luo, Kui Jiang, Zheng He, Junjun Jiang, Tao Lu, Jiayi Ma:
Omniscient Video Super-Resolution with Explicit-Implicit Alignment. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 150:1-150:23 (2024)
[j122]
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Jinwang Pan, Xianming Liu, Yuanchao Bai, Deming Zhai, Junjun Jiang, Debin Zhao:
Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 254:1-254:23 (2024)
[c128]
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Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. AAAI 2024: 5318-5326
[c127]
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  - conf/aaai/0010JJL24
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. AAAI 2024: 5976-5984
[c126]
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  - conf/aaai/JiangJLXM24
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Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma:
FMRNet: Image Deraining via Frequency Mutual Revision. AAAI 2024: 12892-12900
[c125]
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  - conf/cvpr/SpencerTPA0HBZL22
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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:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14
[c124]
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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:
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. CVPR Workshops 2024: 1153-1161
[c123]
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Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu:
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CVPR 2024: 1303-1312
[c122]
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Rafael E. Rivadeneira, Angel Domingo Sappa, Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen, Shiqi Wang:
Thermal Image Super-Resolution Challenge Results - PBVS 2024. CVPR Workshops 2024: 3113-3122
[c121]
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Jiahan Li, Jiuyang Dong, Shenjin Huang, Xi Li, Junjun Jiang, Xiaopeng Fan, Yongbing Zhang:
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. CVPR 2024: 11259-11268
[c120]
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Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang:
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. ECCV (24) 2024: 183-201
[c119]
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Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. ICLR 2024
[c118]
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Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji:
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. ICLR 2024
[c117]
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in image Super-Resolution. ICME 2024: 1-6
[c116]
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Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu:
SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. IROS 2024: 11179-11186
[c115]
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Yuchen Pan, Junjun Jiang, Kui Jiang, Xianming Liu:
Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data. ACM Multimedia 2024: 5712-5721
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration. ACM Multimedia 2024: 6015-6023
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Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang:
AFBench: A Large-scale Benchmark for Airfoil Design. NeurIPS 2024
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Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu:
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. NeurIPS 2024
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Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu:
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. VCIP 2024: 1-5
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Qingbin Wei, Feilong Zhang, Yuanchao Bai, Deming Zhai, Junjun Jiang, Xianming Liu:
Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. VCIP 2024: 1-6
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Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach. CoRR abs/2401.05633 (2024)
[i80]
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Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun:
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models. CoRR abs/2401.05870 (2024)
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  - journals/corr/abs-2401-06548
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Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji:
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning. CoRR abs/2401.06548 (2024)
[i78]
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Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu:
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. CoRR abs/2401.14007 (2024)
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Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu:
A Comprehensive Survey on 3D Content Generation. CoRR abs/2402.01166 (2024)
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  - journals/corr/abs-2402-11791
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Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu:
SDGE: Stereo Guided Depth Estimation for 360° Camera Sets. CoRR abs/2402.11791 (2024)
[i75]
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  - journals/corr/abs-2402-11826
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Jialei Xu, Xianming Liu, Junjun Jiang, Kui Jiang, Rui Li, Kai Cheng, Xiangyang Ji:
Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. CoRR abs/2402.11826 (2024)
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  - journals/corr/abs-2402-18786
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Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu:
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CoRR abs/2402.18786 (2024)
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in Image Super-Resolution. CoRR abs/2404.00260 (2024)
[i72]
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Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. CoRR abs/2404.00992 (2024)
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Jiayang Li, Junjun Jiang, Pengwei Liang, Jiayi Ma:
MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training. CoRR abs/2404.11016 (2024)
[i70]
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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:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024)
[i69]
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Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression. CoRR abs/2405.01170 (2024)
[i68]
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Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Mesh Denoising Transformer. CoRR abs/2405.06536 (2024)
[i67]
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  - journals/corr/abs-2405-08816
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Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024)
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Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Chunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu:
DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge. CoRR abs/2405.17102 (2024)
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  - journals/corr/abs-2406-07006
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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:
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. CoRR abs/2406.07006 (2024)
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  - journals/corr/abs-2406-07828
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Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. CoRR abs/2406.07828 (2024)
[i63]
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Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang:
AFBench: A Large-scale Benchmark for Airfoil Design. CoRR abs/2406.18846 (2024)
[i62]
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  - journals/corr/abs-2409-12724
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Guoqing Zhang, Wenbo Zhao, Jian Liu, Yuanchao Bai, Junjun Jiang, Xianming Liu:
PVContext: Hybrid Context Model for Point Cloud Compression. CoRR abs/2409.12724 (2024)
[i61]
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  - journals/corr/abs-2410-11394
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Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu:
MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields. CoRR abs/2410.11394 (2024)
[i60]
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  - journals/corr/abs-2410-12274
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Pengwei Liang, Junjun Jiang, Qing Ma, Xianming Liu, Jiayi Ma:
Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond. CoRR abs/2410.12274 (2024)
[i59]
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  - journals/corr/abs-2410-15067
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Junjun Jiang, Zengyuan Zuo, Gang Wu, Kui Jiang, Xianming Liu:
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends. CoRR abs/2410.15067 (2024)
[i58]
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  - journals/corr/abs-2410-17814
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Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. CoRR abs/2410.17814 (2024)
[i57]
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  - journals/corr/abs-2411-02149
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Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang:
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. CoRR abs/2411.02149 (2024)
[i56]
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  - journals/corr/abs-2411-03638
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Zihan Qin, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu:
Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions. CoRR abs/2411.03638 (2024)
[i55]
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  - journals/corr/abs-2411-09293
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Chenyang Wang, Wenjie An, Kui Jiang, Xianming Liu, Junjun Jiang:
LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution. CoRR abs/2411.09293 (2024)
[i54]
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  - journals/corr/abs-2412-10031
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Jizhihui Liu, Qixun Teng, Junjun Jiang:
FM2S: Self-Supervised Fluorescence Microscopy Denoising With Single Noisy Image. CoRR abs/2412.10031 (2024)
[i53]
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  - journals/corr/abs-2412-17464
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Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
CALLIC: Content Adaptive Learning for Lossless Image Compression. CoRR abs/2412.17464 (2024)
2023
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Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. ACM Comput. Surv. 55(2): 13:1-13:36 (2023)
[j120]
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Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-Resolution: A Survey. ACM Comput. Surv. 55(14s): 301:1-301:36 (2023)
[j119]
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Xinya Wang, Jiayi Ma, Junjun Jiang:
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network. IEEE CAA J. Autom. Sinica 10(1): 78-89 (2023)
[j118]
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Jiayi Ma, Kaining Zhang, Junjun Jiang:
Loop Closure Detection via Locality Preserving Matching With Global Consensus. IEEE CAA J. Autom. Sinica 10(2): 411-426 (2023)
[j117]
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Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. Mach. Intell. Res. 20(6): 837-854 (2023)
[j116]
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Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
ZMFF: Zero-shot multi-focus image fusion. Inf. Fusion 92: 127-138 (2023)
[j115]
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Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution. Inf. Fusion 100: 101907 (2023)
[j114]
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Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. J. Mach. Learn. Res. 24: 376:1-376:62 (2023)
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Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8094-8109 (2023)
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Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12394-12407 (2023)
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Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang:
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. Remote. Sens. 15(10): 2574 (2023)
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Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 435-448 (2023)
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Yuanzhi Wang, Tao Lu, Yanduo Zhang, Zhongyuan Wang, Junjun Jiang, Zixiang Xiong:
FaceFormer: Aggregating Global and Local Representation for Face Hallucination. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2533-2545 (2023)
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Pengyu Lu, Xinwei Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai, Junjun Jiang, Antonio Plaza:
Spectral-Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
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Chen Ma, Junjun Jiang, Huayi Li, Wenxue Cui, Guoyuan Li:
Progressive Token Reduction and Compensation for Hyperspectral Image Representation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
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Jinfu Li, Lei Liu, Hong Song, Yuqi Huang, Junjun Jiang, Jian Yang:
DCTNet: A Heterogeneous Dual-Branch Multi-Cascade Network for Infrared and Visible Image Fusion. IEEE Trans. Instrum. Meas. 72: 1-14 (2023)
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Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. IEEE Trans. Image Process. 32: 4114-4127 (2023)
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Guangcheng Wang, Zhen Han, Junjun Jiang, Zixiang Xiong:
Multi-Scale Hybrid Fusion Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3594-3608 (2023)
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Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Shengye Li:
Thermal Image Super-Resolution Challenge Results - PBVS 2023. CVPR Workshops 2023: 470-478
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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:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960
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Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang:
Robust and Scalable Gaussian Process Regression and Its Applications. CVPR 2023: 21950-21959
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Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Spatial-Frequency Mutual Learning for Face Super-Resolution. CVPR 2023: 22356-22366
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Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2023: 1-11
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Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu:
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR 2023
[c103]
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Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Medical Imaging. ICME 2023: 2549-2554
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Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji:
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. ICML 2023: 41399-41413
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Kui Jiang, Wenxuan Liu, Zheng Wang, Xian Zhong, Junjun Jiang, Chia-Wen Lin:
DAWN: Direction-aware Attention Wavelet Network for Image Deraining. ACM Multimedia 2023: 7065-7074
[i52]
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  - journals/corr/abs-2302-09598
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Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-resolution: A Survey. CoRR abs/2302.09598 (2023)
[i51]
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  - journals/corr/abs-2303-11243
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Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang:
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. CoRR abs/2303.11243 (2023)
[i50]
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  - journals/corr/abs-2303-14324
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Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu:
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. CoRR abs/2303.14324 (2023)
[i49]
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  - journals/corr/abs-2303-15198
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Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Image Deblurring by Exploring In-depth Properties of Transformer. CoRR abs/2303.15198 (2023)
[i48]
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  - journals/corr/abs-2304-02923
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Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. CoRR abs/2304.02923 (2023)
[i47]
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  - journals/corr/abs-2305-18384
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Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR abs/2305.18384 (2023)
[i46]
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  - journals/corr/abs-2307-15061
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Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023)
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  - journals/corr/abs-2307-16140
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution. CoRR abs/2307.16140 (2023)
[i44]
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  - journals/corr/abs-2309-06023
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Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. CoRR abs/2309.06023 (2023)
[i43]
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  - journals/corr/abs-2311-05147
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Kui Jiang, Xuemei Jia, Wenxin Huang, Wenbin Wang, Zheng Wang, Junjun Jiang:
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration. CoRR abs/2311.05147 (2023)
[i42]
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  - journals/corr/abs-2311-05336
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Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2311.05336 (2023)
[i41]
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  - journals/corr/abs-2312-07841
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Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. CoRR abs/2312.07841 (2023)
2022
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Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. IEEE CAA J. Autom. Sinica 9(5): 878-892 (2022)
[j102]
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Kaining Zhang, Jiayi Ma, Junjun Jiang:
Loop Closure Detection With Reweighting NetVLAD and Local Motion and Structure Consensus. IEEE CAA J. Autom. Sinica 9(6): 1087-1090 (2022)
[j101]
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Zhenyu Li, Junjun Jiang, Xianming Liu:
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. IEEE CAA J. Autom. Sinica 9(7): 1307-1310 (2022)
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Xinya Wang, Jiayi Ma, Peng Yi, Xin Tian, Junjun Jiang, Xiao-Ping Zhang:
Learning an epipolar shift compensation for light field image super-resolution. Inf. Fusion 79: 188-199 (2022)
[j99]
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Xinya Wang, Jiayi Ma, Junjun Jiang, Xiao-Ping Zhang:
Dilated projection correction network based on autoencoder for hyperspectral image super-resolution. Neural Networks 146: 107-119 (2022)
[j98]
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Han Xu, Jiayi Ma, Junjun Jiang, Xiaojie Guo, Haibin Ling:
U2Fusion: A Unified Unsupervised Image Fusion Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 502-518 (2022)
[j97]
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Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Jiayi Ma:
A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2264-2280 (2022)
[j96]
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  - journals/remotesensing/GongYMJLZZ22
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Xi Gong, Feng Yao, Jiayi Ma, Junjun Jiang, Tao Lu, Yanduo Zhang, Huabing Zhou:
Feature Matching for Remote-Sensing Image Registration via Neighborhood Topological and Affine Consistency. Remote. Sens. 14(11): 2606 (2022)
[j95]
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Chen Ma, Junjun Jiang, Huayi Li, Xiaoguang Mei, Chengchao Bai:
Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer. Remote. Sens. 14(19): 4732 (2022)
[j94]
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Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Deep Unfolding Network for Spatiospectral Image Super-Resolution. IEEE Trans. Computational Imaging 8: 28-40 (2022)
[j93]
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Xinya Wang, Yingsong Cheng, Xiaoguang Mei, Junjun Jiang, Jiayi Ma:
Group Shuffle and Spectral-Spatial Fusion for Hyperspectral Image Super-Resolution. IEEE Trans. Computational Imaging 8: 1223-1236 (2022)
[j92]
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Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7317-7331 (2022)
[j91]
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Xinya Wang, Qian Hu, Junjun Jiang, Jiayi Ma:
A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
[j90]
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Xinya Wang, Jiayi Ma, Junjun Jiang:
Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial-Spectral Consistency Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022)
[j89]
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Xin Zhang, Xinwei Jiang, Junjun Jiang, Yongshan Zhang, Xiaobo Liu, Zhihua Cai:
Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022)
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Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. IEEE Trans. Image Process. 31: 648-663 (2022)
[j87]
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Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. IEEE Trans. Image Process. 31: 2950-2961 (2022)
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Jiayi Ma, Chengli Peng, Xin Tian, Junjun Jiang:
DBDnet: A Deep Boosting Strategy for Image Denoising. IEEE Trans. Multim. 24: 3157-3168 (2022)
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Kui Jiang, Zhongyuan Wang, Peng Yi, Tao Lu, Junjun Jiang, Zixiang Xiong:
Dual-Path Deep Fusion Network for Face Image Hallucination. IEEE Trans. Neural Networks Learn. Syst. 33(1): 378-391 (2022)
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Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(2): 839-852 (2022)
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Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu:
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 30:1-30:17 (2022)
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Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 64:1-64:15 (2022)
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Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. AAAI 2022: 104-112
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Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. AAAI 2022: 1500-1508
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Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji:
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. AAAI 2022: 3446-3453
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Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma:
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CVPR Workshops 2022: 266-275
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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:
Thermal Image Super-Resolution Challenge Results - PBVS 2022. CVPR Workshops 2022: 417-425
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  - conf/cvpr/RomeroCATDH0ZLH22
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Andrés 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:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181
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Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CVPR Workshops 2022: 1300-1309
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Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CVPR 2022: 1989-1997
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Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang:
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. CVPR 2022: 3564-3573
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Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR 2022: 15324-15333
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  - conf/eccv/IgnatovMTTCKLPRSMLCXLJSXLWLZWHLYFLWHCC22
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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:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91
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Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. ECCV (9) 2022: 245-262
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Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. ECCV Workshops (2) 2022: 507-523
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Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. ECCV (18) 2022: 719-735
[c86]
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Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards The Largest Margins. ICLR 2022
[c85]
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Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. ICML 2022: 27245-27267
[c84]
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Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang, Jinsheng Xiao, Chia-Wen Lin:
DANet: Image Deraining via Dynamic Association Learning. IJCAI 2022: 980-986
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Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu:
Hybrid Conditional Deep Inverse Tone Mapping. ACM Multimedia 2022: 1016-1024
[c82]
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Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu:
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. ACM Multimedia 2022: 1358-1366
[c81]
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Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji:
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. ACM Multimedia 2022: 2730-2738
[i40]
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  - journals/corr/abs-2203-03818
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Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR abs/2203.03818 (2022)
[i39]
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  - journals/corr/abs-2203-05323
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Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang:
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. CoRR abs/2203.05323 (2022)
[i38]
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  - journals/corr/abs-2203-14211
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Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation. CoRR abs/2203.14211 (2022)
[i37]
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  - journals/corr/abs-2204-00987
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Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. CoRR abs/2204.00987 (2022)
[i36]
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  - journals/corr/abs-2204-08196
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Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CoRR abs/2204.08196 (2022)
[i35]
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  - journals/corr/abs-2204-11590
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Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training. CoRR abs/2204.11590 (2022)
[i34]
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  - journals/corr/abs-2205-05264
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Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang:
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. CoRR abs/2205.05264 (2022)
[i33]
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  - journals/corr/abs-2205-07162
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Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CoRR abs/2205.07162 (2022)
[i32]
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  - journals/corr/abs-2205-12606
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Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation. CoRR abs/2205.12606 (2022)
[i31]
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  - journals/corr/abs-2206-11589
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Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards the Largest Margins. CoRR abs/2206.11589 (2022)
[i30]
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  - journals/corr/abs-2206-11602
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Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. CoRR abs/2206.11602 (2022)
[i29]
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  - journals/corr/abs-2209-00961
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Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. CoRR abs/2209.00961 (2022)
[i28]
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  - journals/corr/abs-2210-02009
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Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji:
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. CoRR abs/2210.02009 (2022)
[i27]
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  - journals/corr/abs-2211-04470
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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:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (2022)
2021
[j81]
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Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan:
Image Matching from Handcrafted to Deep Features: A Survey. Int. J. Comput. Vis. 129(1): 23-79 (2021)
[j80]
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Hao Zhang, Han Xu, Xin Tian, Junjun Jiang, Jiayi Ma:
Image fusion meets deep learning: A survey and perspective. Inf. Fusion 76: 323-336 (2021)
[j79]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Xiaofen Wang, Junjun Jiang, Zixiang Xiong:
Multi-Level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy. IEEE J. Sel. Top. Signal Process. 15(2): 216-228 (2021)
[j78]
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  - journals/jzusc/WangMGJ21
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Xinya Wang, Jiayi Ma, Wenjing Gao, Junjun Jiang:
MPIN: a macro-pixel integration network for light field super-resolution. Frontiers Inf. Technol. Electron. Eng. 22(10): 1299-1310 (2021)
[j77]
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Junjun Jiang, Qing Ma, Xingyu Jiang, Jiayi Ma:
Ranking list preservation for feature matching. Pattern Recognit. 111: 107665 (2021)
[j76]
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Qiang Li, Xianming Liu, Junjun Jiang, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. IEEE Trans. Computational Imaging 7: 124-136 (2021)
[j75]
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Jiayi Ma, Zhuliang Le, Xin Tian, Junjun Jiang:
SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization. IEEE Trans. Computational Imaging 7: 309-320 (2021)
[j74]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zhen Han, Tao Lu, Baojin Huang, Junjun Jiang:
Decomposition Makes Better Rain Removal: An Improved Attention-Guided Deraining Network. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3981-3995 (2021)
[j73]
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Han Xu, Jiayi Ma, Zhenfeng Shao, Hao Zhang, Junjun Jiang, Xiaojie Guo:
SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation. IEEE Trans. Geosci. Remote. Sens. 59(5): 4120-4134 (2021)
[j72]
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Liang Chen, Jinshan Pan, Junjun Jiang, Jiawei Zhang, Zhen Han, Linchao Bao:
Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations. IEEE Trans. Image Process. 30: 5600-5612 (2021)
[j71]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zheng Wang, Xiao Wang, Junjun Jiang, Chia-Wen Lin:
Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining. IEEE Trans. Image Process. 30: 7404-7418 (2021)
[c80]
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Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji:
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. CVPR 2021: 10523-10531
[c79]
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Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. ICCV 2021: 72-81
[c78]
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Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma:
Omniscient Video Super-Resolution. ICCV 2021: 4409-4418
[c77]
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  - conf/icmcs/HuJL021
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Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
Zero-Shot Multi-Focus Image Fusion. ICME 2021: 1-6
[c76]
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Chenyang Wang, Junjun Jiang, Xianming Liu:
Heatmap-Aware Pyramid Face Hallucination. ICME 2021: 1-6
[c75]
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Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. ICML 2021: 12846-12856
[c74]
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Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu:
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. ACM Multimedia 2021: 5335-5343
[c73]
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Tao Lu, Yuanzhi Wang, Yanduo Zhang, Yu Wang, Wei Liu, Zhongyuan Wang, Junjun Jiang:
Face Hallucination via Split-Attention in Split-Attention Network. ACM Multimedia 2021: 5501-5509
[c72]
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Ziqian Liu, Qing Ma, Junjun Jiang, Xianming Liu:
Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation. MMAsia 2021: 29:1-29:7
[i26]
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Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. CoRR abs/2101.03749 (2021)
[i25]
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  - journals/corr/abs-2103-15683
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Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma:
Omniscient Video Super-Resolution. CoRR abs/2103.15683 (2021)
[i24]
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  - journals/corr/abs-2104-01530
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Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion. CoRR abs/2104.01530 (2021)
[i23]
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Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021)
[i22]
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Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. CoRR abs/2105.14766 (2021)
[i21]
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Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. CoRR abs/2106.03110 (2021)
[i20]
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Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. CoRR abs/2108.00192 (2021)
[i19]
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  - journals/corr/abs-2108-13584
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Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma:
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CoRR abs/2108.13584 (2021)
[i18]
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  - journals/corr/abs-2109-08174
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Yuanzhi Wang, Tao Lu, Yanduo Zhang, Junjun Jiang, Jiaming Wang, Zhongyuan Wang, Jiayi Ma:
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network. CoRR abs/2109.08174 (2021)
[i17]
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Jialei Xu, Yuanchao Bai, Xianming Liu, Junjun Jiang, Xiangyang Ji:
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data. CoRR abs/2109.11573 (2021)
[i16]
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  - journals/corr/abs-2111-13923
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Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution. CoRR abs/2111.13923 (2021)
[i15]
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  - journals/corr/abs-2111-13924
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Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma:
A Practical Contrastive Learning Framework for Single Image Super-Resolution. CoRR abs/2111.13924 (2021)
[i14]
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  - journals/corr/abs-2112-04680
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Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations. CoRR abs/2112.04680 (2021)
[i13]
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Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. CoRR abs/2112.06401 (2021)
[i12]
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Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. CoRR abs/2112.09300 (2021)
2020
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Tao Lu, Jiaming Wang, Junjun Jiang, Yanduo Zhang:
Global-local fusion network for face super-resolution. Neurocomputing 387: 309-320 (2020)
[j69]
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  - journals/inffus/MaLYCGWJ20
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Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang:
Infrared and visible image fusion via detail preserving adversarial learning. Inf. Fusion 54: 85-98 (2020)
[j68]
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Jiayi Ma, Wei Yu, Chen Chen, Pengwei Liang, Xiaojie Guo, Junjun Jiang:
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion. Inf. Fusion 62: 110-120 (2020)
[j67]
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  - journals/mta/ChenLJ20
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Liang Chen, Qing Li, Junjun Jiang:
Noisy practical facial super-resolution method via deformable constrained model with small dataset. Multim. Tools Appl. 79(3-4): 2577-2600 (2020)
[j66]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang:
Hierarchical dense recursive network for image super-resolution. Pattern Recognit. 107: 107475 (2020)
[j65]
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  - journals/tci/JiangSLM20
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Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. IEEE Trans. Computational Imaging 6: 1082-1096 (2020)
[j64]
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Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning. IEEE Trans. Cybern. 50(1): 324-337 (2020)
[j63]
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Junjun Jiang, Yi Yu, Zheng Wang, Suhua Tang, Ruimin Hu, Jiayi Ma:
Ensemble Super-Resolution With a Reference Dataset. IEEE Trans. Cybern. 50(11): 4694-4708 (2020)
[j62]
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Qingming Leng, Haiou Yang, Junjun Jiang, Qi Tian:
Adaptive MultiScale Segmentations for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(8): 5847-5860 (2020)
[j61]
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Jiayi Ma, Xinya Wang, Junjun Jiang:
Image Superresolution via Dense Discriminative Network. IEEE Trans. Ind. Electron. 67(7): 5687-5695 (2020)
[j60]
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Xingyu Jiang, Jiayi Ma, Junjun Jiang, Xiaojie Guo:
Robust Feature Matching Using Spatial Clustering With Heavy Outliers. IEEE Trans. Image Process. 29: 736-746 (2020)
[j59]
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Zheng Wang, Junjun Jiang, Yang Wu, Mang Ye, Xiang Bai, Shin'ichi Satoh:
Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification. IEEE Trans. Image Process. 29: 2013-2025 (2020)
[j58]
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Jiayi Ma, Han Xu, Junjun Jiang, Xiaoguang Mei, Xiao-Ping (Steven) Zhang:
DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion. IEEE Trans. Image Process. 29: 4980-4995 (2020)
[j57]
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Liang Chen, Jinshan Pan, Junjun Jiang, Jiawei Zhang, Yi Wu:
Robust Face Super-Resolution via Position Relation Model Based on Global Face Context. IEEE Trans. Image Process. 29: 9002-9016 (2020)
[j56]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Ke Gu, Junjun Jiang:
ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination. IEEE Trans. Multim. 22(10): 2734-2747 (2020)
[c71]
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Han Xu, Jiayi Ma, Zhuliang Le, Junjun Jiang, Xiaojie Guo:
FusionDN: A Unified Densely Connected Network for Image Fusion. AAAI 2020: 12484-12491
[c70]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang:
Multi-Scale Progressive Fusion Network for Single Image Deraining. CVPR 2020: 8343-8352
[c69]
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  - conf/eccv/FanJWJM20
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Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma:
Geometric Estimation via Robust Subspace Recovery. ECCV (22) 2020: 462-478
[c68]
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  - conf/icassp/WangZJZL20
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Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP 2020: 2518-2522
[c67]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang:
Attention-Guided Deraining Network Via Stage-Wise Learning. ICASSP 2020: 2618-2622
[c66]
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Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP 2020: 2668-2672
[c65]
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Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang:
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. ICIP 2020: 2366-2370
[c64]
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Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. ACM Multimedia 2020: 375-383
[c63]
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Yi Yu, Florian Harscoët, Simon Canales, Gurunath Reddy M, Suhua Tang, Junjun Jiang:
Lyrics-Conditioned Neural Melody Generation. MMM (2) 2020: 709-714
[c62]
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Yifeng Wang, Hanguang Yao, Liangpeng Wan, Hua Li, Junjun Jiang, Yun Zhang, Fangmin Wu, Junfeng Chen, Xingsi Xue, Cai Dai:
Optimizing Hydrography Ontology Alignment Through Compact Particle Swarm Optimization Algorithm. ICSI 2020: 151-162
[i11]
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  - journals/corr/abs-2003-01947
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Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. CoRR abs/2003.01947 (2020)
[i10]
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  - journals/corr/abs-2003-07603
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Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. CoRR abs/2003.07603 (2020)
[i9]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang:
Multi-Scale Progressive Fusion Network for Single Image Deraining. CoRR abs/2003.10985 (2020)
[i8]
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  - journals/corr/abs-2005-08752
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Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. CoRR abs/2005.08752 (2020)
[i7]
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Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. CoRR abs/2006.05049 (2020)
[i6]
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Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Unsupervised Constrative Person Re-identification. CoRR abs/2010.07608 (2020)

2010 – 2019

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2019
[j55]
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Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang:
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7: 33778-33786 (2019)
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Qi Zheng, Jun Chen, Zhongyuan Wang, Junjun Jiang, Chao Liang:
Deep Segmentation Domain Adaptation Network With Weighted Boundary Constraint. IEEE Access 7: 93909-93918 (2019)
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Zhikun Chen, Junjun Jiang, Chong Zhou, Shaoyuan Fu, Zhihua Cai:
SuperBF: Superpixel-Based Bilateral Filtering Algorithm and Its Application in Feature Extraction of Hyperspectral Images. IEEE Access 7: 147796-147807 (2019)
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Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou, Xiaojie Guo:
Locality Preserving Matching. Int. J. Comput. Vis. 127(5): 512-531 (2019)
[j51]
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Jiayi Ma, Wei Yu, Pengwei Liang, Chang Li, Junjun Jiang:
FusionGAN: A generative adversarial network for infrared and visible image fusion. Inf. Fusion 48: 11-26 (2019)
[j50]
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Junjun Jiang, Jiayi Ma, Suhua Tang, Yi Yu, Kiyoharu Aizawa:
Face hallucination through differential evolution parameter map learning with facial structure prior. Inf. Sci. 481: 174-188 (2019)
[j49]
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Zhikun Chen, Junjun Jiang, Chong Zhou, Xinwei Jiang, Shaoyuan Fu, Zhihua Cai:
Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16(5): 781-785 (2019)
[j48]
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Li Peng, Yanduo Zhang, Huabing Zhou, Junjun Jiang, Jiayi Ma:
A non-parametric depth modification model for registration between color and depth images. Multidimens. Syst. Signal Process. 30(3): 1129-1148 (2019)
[j47]
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Jiayi Ma, Xingyu Jiang, Junjun Jiang, Yuan Gao:
Feature-guided Gaussian mixture model for image matching. Pattern Recognit. 92: 231-245 (2019)
[j46]
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Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai:
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11(1): 29 (2019)
[j45]
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  - journals/remotesensing/LengYJ19
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Qingming Leng, Haiou Yang, Junjun Jiang:
Label Noise Cleansing with Sparse Graph for Hyperspectral Image Classification. Remote. Sens. 11(9): 1116 (2019)
[j44]
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Tao Lu, Jiaming Wang, Yanduo Zhang, Zhongyuan Wang, Junjun Jiang:
Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network. Remote. Sens. 11(13): 1588 (2019)
[j43]
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Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. IEEE Trans. Geosci. Remote. Sens. 57(2): 851-865 (2019)
[j42]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu, Junjun Jiang:
Edge-Enhanced GAN for Remote Sensing Image Superresolution. IEEE Trans. Geosci. Remote. Sens. 57(8): 5799-5812 (2019)
[j41]
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Xingyu Jiang, Junjun Jiang, Aoxiang Fan, Zhongyuan Wang, Jiayi Ma:
Multiscale Locality and Rank Preservation for Robust Feature Matching of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(9): 6462-6472 (2019)
[j40]
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Junjun Jiang, Yi Yu, Zheng Wang, Xianming Liu, Jiayi Ma:
Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. IEEE Trans. Image Process. 28(2): 628-641 (2019)
[j39]
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Zhongyuan Wang, Peng Yi, Kui Jiang, Junjun Jiang, Zhen Han, Tao Lu, Jiayi Ma:
Multi-Memory Convolutional Neural Network for Video Super-Resolution. IEEE Trans. Image Process. 28(5): 2530-2544 (2019)
[j38]
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Jiayi Ma, Xingyu Jiang, Junjun Jiang, Ji Zhao, Xiaojie Guo:
LMR: Learning a Two-Class Classifier for Mismatch Removal. IEEE Trans. Image Process. 28(8): 4045-4059 (2019)
[j37]
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Weijian Ruan, Jun Chen, Yi Wu, Jinqiao Wang, Chao Liang, Ruimin Hu, Junjun Jiang:
Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking. IEEE Trans. Multim. 21(5): 1122-1134 (2019)
[j36]
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Zheng Wang, Junjun Jiang, Yi Yu, Shin'ichi Satoh:
Incremental Re-Identification by Cross-Direction and Cross-Ranking Adaption. IEEE Trans. Multim. 21(9): 2376-2386 (2019)
[j35]
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Zengmin Xu, Ruimin Hu, Jun Chen, Chen Chen, Junjun Jiang, Jiaofen Li, Hongyang Li:
Semisupervised Discriminant Multimanifold Analysis for Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2951-2962 (2019)
[j34]
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Jiayi Ma, Jia Wu, Ji Zhao, Junjun Jiang, Huabing Zhou, Quan Z. Sheng:
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3584-3597 (2019)
[c61]
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  - conf/cvpr/NahTGBHMSL19
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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:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995
[c60]
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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:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232
[c59]
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Xinya Wang, Jiayi Ma, Junjun Jiang:
Image Super-resolution via Deep Aggregation Network. ICASSP 2019: 1747-1751
[c58]
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Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma:
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations. ICCV 2019: 3106-3115
[c57]
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Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475
[c56]
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Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475
[c55]
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Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564
[c54]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, Guangcheng Wang, Zhen Han, Tao Lu:
GAN-Based Multi-level Mapping Network for Satellite Imagery Super-Resolution. ICME 2019: 526-531
[c53]
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He Sun, Zhiwei Zhong, Deming Zhai, Xianming Liu, Junjun Jiang:
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. IFTC 2019: 49-61
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Jiliang Yan, Deming Zhai, Yi Niu, Xianming Liu, Junjun Jiang:
Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification. IFTC 2019: 171-185
[c51]
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Han Xu, Pengwei Liang, Wei Yu, Junjun Jiang, Jiayi Ma:
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators. IJCAI 2019: 3954-3960
[c50]
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Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang:
Event-Oriented Wiki Document Generation. JIST 2019: 50-66
[i5]
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  - journals/corr/abs-1905-04696
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Junjun Jiang, Yi Yu, Zheng Wang, Suhua Tang, Ruimin Hu, Jiayi Ma:
Ensemble Super-Resolution with A Reference Dataset. CoRR abs/1905.04696 (2019)
2018
[j33]
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Tao Lu, Kangli Zeng, Zixiang Xiong, Junjun Jiang, Yanduo Zhang:
Group Embedding for Face Hallucination. IEEE Access 6: 63402-63415 (2018)
[j32]
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  - journals/entropy/LuWZJMW18
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Tao Lu, Jiaming Wang, Huabing Zhou, Junjun Jiang, Jiayi Ma, Zhongyuan Wang:
Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment. Entropy 20(12): 947 (2018)
[j31]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang, Jing Xiao, Yuan Yao:
Deep Distillation Recursive Network for Remote Sensing Imagery Super-Resolution. Remote. Sens. 10(11): 1700 (2018)
[j30]
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Zhikun Chen, Junjun Jiang, Xinwei Jiang, Xiaoping Fang, Zhihua Cai:
Spectral-Spatial Feature Extraction of Hyperspectral Images Based on Propagation Filter. Sensors 18(6): 1978 (2018)
[j29]
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Shyam Singh Rajput, Ankur Singh, K. V. Arya, Junjun Jiang:
Noise robust face hallucination algorithm using local content prior based error shrunk nearest neighbors representation. Signal Process. 147: 233-246 (2018)
[j28]
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Kui Jiang, Zhongyuan Wang, Peng Yi, Junjun Jiang:
A Progressively Enhanced Network for Video Satellite Imagery Superresolution. IEEE Signal Process. Lett. 25(11): 1630-1634 (2018)
[j27]
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Zheng Wang, Ruimin Hu, Chen Chen, Yi Yu, Junjun Jiang, Chao Liang, Shin'ichi Satoh:
Person Reidentification via Discrepancy Matrix and Matrix Metric. IEEE Trans. Cybern. 48(10): 3006-3020 (2018)
[j26]
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Jiayi Ma, Junjun Jiang, Huabing Zhou, Ji Zhao, Xiaojie Guo:
Guided Locality Preserving Feature Matching for Remote Sensing Image Registration. IEEE Trans. Geosci. Remote. Sens. 56(8): 4435-4447 (2018)
[j25]
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Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang:
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 56(8): 4581-4593 (2018)
[c49]
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Junjun Jiang, Yi Yu, Zheng Wang, Jiayi Ma:
Residual Learning for Face Sketch Synthesis. ICASSP 2018: 1952-1956
[c48]
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Junjun Jiang, Qing Ma, Tao Lu, Zhongyuan Wang, Jiayi Ma:
Feature Matching Based on Top K Rank Similarity. ICASSP 2018: 2316-2320
[c47]
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Tao Lu, Kangli Zeng, Junjun Jiang, Yanduo Zhang, Wei He, Zhongyuan Wang, Huabing Zhou:
Face Hallucination Using Manifold-Regularized Group Locality-Constrained Representation. ICIP 2018: 2511-2515
[c46]
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Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou, Yu Zhou, Zheng Wang, Xiaojie Guo:
Visual Homing via Guided Locality Preserving Matching. ICRA 2018: 7254-7261
[c45]
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Kangli Zeng, Tao Lu, Junjun Jiang, Zhongyuan Wang:
Nonlinear Contextual Face Hallucination. IFTC 2018: 249-258
[c44]
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Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma:
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. IJCAI 2018: 771-778
[c43]
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Qi Zheng, Jun Chen, Junjun Jiang, Ruimin Hu:
Reinforcing Pedestrian Parsing on Small Scale Dataset. MMM (1) 2018: 417-427
[i4]
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Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang:
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery. CoRR abs/1806.09807 (2018)
[i3]
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Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma:
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. CoRR abs/1806.10726 (2018)
[i2]
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Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning. CoRR abs/1809.00665 (2018)
[i1]
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Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. CoRR abs/1809.04212 (2018)
2017
[j24]
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Jiayi Ma, Junjun Jiang, Chengyin Liu, Yansheng Li:
Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration. Inf. Sci. 417: 128-142 (2017)
[j23]
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Junjun Jiang, Chen Chen, Yi Yu, Xinwei Jiang, Jiayi Ma:
Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(3): 404-408 (2017)
[j22]
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Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai:
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(10): 1760-1764 (2017)
[j21]
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Kebin Huang, Ruimin Hu, Junjun Jiang, Zhen Han, Feng Wang:
HRM graph constrained dictionary learning for face image super-resolution. Multim. Tools Appl. 76(2): 3139-3162 (2017)
[j20]
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Chen Chen, Baochang Zhang, Zhenjie Hou, Junjun Jiang, Mengyuan Liu, Yun Yang:
Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features. Multim. Tools Appl. 76(3): 4651-4669 (2017)
[j19]
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Fei Tong, Hengjian Tong, Junjun Jiang, Yun Zhang:
Multiscale Union Regions Adaptive Sparse Representation for Hyperspectral Image Classification. Remote. Sens. 9(9): 872 (2017)
[j18]
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Junjun Jiang, Jiayi Ma, Chen Chen, Xinwei Jiang, Zheng Wang:
Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation. IEEE Trans. Cybern. 47(11): 3991-4002 (2017)
[j17]
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Junjun Jiang, Xiang Ma, Chen Chen, Tao Lu, Zhongyuan Wang, Jiayi Ma:
Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means. IEEE Trans. Multim. 19(1): 15-26 (2017)
[j16]
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Junjun Jiang, Chen Chen, Jiayi Ma, Zheng Wang, Zhongyuan Wang, Ruimin Hu:
SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior. IEEE Trans. Multim. 19(1): 27-40 (2017)
[c42]
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Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou:
Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization. AAAI 2017: 4218-4224
[c41]
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Tao Lu, Hao Wang, Zixiang Xiong, Junjun Jiang, Yanduo Zhang, Huabing Zhou, Zhongyuan Wang:
Face hallucination using region-based deep convolutional networks. ICIP 2017: 1657-1661
[c40]
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Li Peng, Yanduo Zhang, Huabing Zhou, Deng Chen, Zhenghong Yu, Junjun Jiang, Jiayi Ma:
A unified model for improving depth accuracy in kinect sensor. ICME 2017: 223-228
[c39]
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Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Guo-Jun Qi, Akiko Aizawa:
Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning. ICME 2017: 469-474
[c38]
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Tao Lu, Lanlan Pan, Junjun Jiang, Yanduo Zhang, Zixiang Xiong:
DLML: Deep linear mappings learning for face super-resolution with nonlocal-patch. ICME 2017: 1362-1367
[c37]
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Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, Yuan Gao:
Locality Preserving Matching. IJCAI 2017: 4492-4498
[c36]
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Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Jiayi Ma, Shin'ichi Satoh:
Statistical Inference of Gaussian-Laplace Distribution for Person Verification. ACM Multimedia 2017: 1609-1617
2016
[j15]
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Junjun Jiang, Chen Chen, Kebin Huang, Zhihua Cai, Ruimin Hu:
Noise robust position-patch based face super-resolution via Tikhonov regularized neighbor representation. Inf. Sci. 367-368: 354-372 (2016)
[j14]
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Zhongyuan Wang, Ruimin Hu, Junjun Jiang, Zhen Han, Zhenfeng Shao:
Heteroskedasticity tuned mixed-norm sparse regularization for face hallucination. Multim. Tools Appl. 75(24): 17273-17301 (2016)
[j13]
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Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhihua Cai:
CDMMA: Coupled discriminant multi-manifold analysis for matching low-resolution face images. Signal Process. 124: 162-172 (2016)
[j12]
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Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Jiayi Ma:
Facial Image Hallucination Through Coupled-Layer Neighbor Embedding. IEEE Trans. Circuits Syst. Video Technol. 26(9): 1674-1684 (2016)
[j11]
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Zheng Wang, Ruimin Hu, Chao Liang, Yi Yu, Junjun Jiang, Mang Ye, Jun Chen, Qingming Leng:
Zero-Shot Person Re-identification via Cross-View Consistency. IEEE Trans. Multim. 18(2): 260-272 (2016)
[c35]
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Junjun Jiang, Zhongyuan Wang, Chen Chen, Tao Lu:
L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise. ICASSP 2016: 2089-2093
[c34]
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Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai:
Hyperspectral image classification using set-to-set distance. ICASSP 2016: 3346-3350
[c33]
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Jiayi Ma, Junjun Jiang, Yuan Gao, Jun Chen, Chengyin Liu:
Robust image matching via feature guided Gaussian mixture model. ICME 2016: 1-6
[c32]
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Zheng Wang, Ruimin Hu, Yi Yu, Junjun Jiang, Chao Liang, Jinqiao Wang:
Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface. IJCAI 2016: 2669-2675
[c31]
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Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu:
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. IJCAI 2016: 3331-3337
[c30]
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Kebin Huang, Ruimin Hu, Junjun Jiang, Zhen Han, Feng Wang:
Face Image Super-Resolution Through Improved Neighbor Embedding. MMM (1) 2016: 409-420
[c29]
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Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Tao Lu:
Smooth sparse representation for noise robust face super-resolution. VCIP 2016: 1-4
[c28]
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Jiayi Ma, Junjun Jiang, Jun Chen, Chengyin Liu, Chang Li:
Multimodal retinal image registration using edge map and feature guided Gaussian mixture model. VCIP 2016: 1-4
[c27]
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Jiayi Ma, Junjun Jiang, Chang Li:
Hyperspectral image denoising with segmentation-based low rank representation. VCIP 2016: 1-4
2015
[j10]
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Jiayi Ma, Huabing Zhou, Ji Zhao, Yuan Gao, Junjun Jiang, Jinwen Tian:
Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming. IEEE Trans. Geosci. Remote. Sens. 53(12): 6469-6481 (2015)
[c26]
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Chen Chen, Junjun Jiang, Baochang Zhang, Wankou Yang, Jianzhong Guo:
Hyperspectral image classification using Gradient Local Auto-Correlations. ACPR 2015: 454-458
[c25]
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Shenming Qu, Ruimin Hu, Shihong Chen, Zhongyuan Wang, Junjun Jiang, Cheng Yang:
Face hallucination via Cauchy regularized sparse representation. ICASSP 2015: 1216-1220
[c24]
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Junjun Jiang, Jican Fu, Tao Lu, Ruimin Hu, Zhongyuan Wang:
Locally regularized Anchored Neighborhood Regression for fast Super-Resolution. ICME 2015: 1-6
[c23]
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Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang:
Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition. ISVC (1) 2015: 613-623
[c22]
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Junjun Jiang, Ruimin Hu, Zhen Han, Liang Chen, Jun Chen:
Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition. MMM (1) 2015: 37-48
[c21]
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Zheng Wang, Ruimin Hu, Chao Liang, Junjun Jiang, Kaimin Sun, Qingming Leng, Bingyue Huang:
Person Re-identification Using Data-Driven Metric Adaptation. MMM (2) 2015: 195-207
2014
[j9]
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Zhongyuan Wang, Zhen Han, Ruimin Hu, Junjun Jiang:
Noise robust face hallucination employing Gaussian-Laplacian mixture model. Neurocomputing 133: 153-160 (2014)
[j8]
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Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu:
Efficient single image super-resolution via graph-constrained least squares regression. Multim. Tools Appl. 72(3): 2573-2596 (2014)
[j7]
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Junjun Jiang, Ruimin Hu, Chao Liang, Zhen Han, Chunjie Zhang:
Face image super-resolution through locality-induced support regression. Signal Process. 103: 168-183 (2014)
[j6]
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Zhongyuan Wang, Ruimin Hu, Shizheng Wang, Junjun Jiang:
Face Hallucination Via Weighted Adaptive Sparse Regularization. IEEE Trans. Circuits Syst. Video Technol. 24(5): 802-813 (2014)
[j5]
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Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han:
Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning. IEEE Trans. Image Process. 23(10): 4220-4231 (2014)
[j4]
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Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han:
Noise Robust Face Hallucination via Locality-Constrained Representation. IEEE Trans. Multim. 16(5): 1268-1281 (2014)
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Junjun Jiang, Ruimin Hu, Zhen Han, Zhongyuan Wang:
Low-Resolution and Low-Quality Face Super-Resolution in Monitoring Scene via Support-Driven Sparse Coding. J. Signal Process. Syst. 75(3): 245-256 (2014)
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Jian Guan, Ruimin Hu, Junjun Jiang, Zhen Han:
Gabor-based patch covariance matrix for face sketch synthesis. ICIP 2014: 4642-4646
[c19]
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Shenming Qu, Ruimin Hu, Shihong Chen, Junjun Jiang, Zhongyuan Wang, Jun Chen:
Face hallucination via re-identified K-nearest neighbors embedding. ICME 2014: 1-6
[c18]
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Liang Chen, Ruimin Hu, Junjun Jiang, Zhen Han:
Efficient learning based face hallucination approach via facial standard deviation prior. ISCAS 2014: 2057-2060
[c17]
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Xiaohui Dong, Ruimin Hu, Junjun Jiang, Zhen Han, Liang Chen, Ge Gao:
Noise Face Image Hallucination via Data-Driven Local Eigentransformation. PCM 2014: 183-192
2013
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Junjun Jiang, Ruimin Hu, Zhen Han, Zhongyuan Wang, Jun Chen:
Two-step superresolution approach for surveillance face image through radial basis function-partial least squares regression and locality-induced sparse representation. J. Electronic Imaging 22(4): 041120 (2013)
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Kebin Huang, Ruimin Hu, Zhen Han, Tao Lu, Junjun Jiang, Feng Wang:
Face Image Superresolution via Locality Preserving Projection and Sparse Coding. J. Softw. 8(8): 2039-2046 (2013)
[c16]
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Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zhen Han, Shi Dong:
Manifold regularized sparse support regression for single image super-resolution. ICASSP 2013: 1429-1433
[c15]
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Zhongyuan Wang, Junjun Jiang, Zixiang Xiong, Ruimin Hu, Zhenfeng Shao:
Face hallucination via weighted sparse representation. ICASSP 2013: 2198-2201
[c14]
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Liang Chen, Ruimin Hu, Zhen Han, Yang Xia, Junjun Jiang:
A joint learning based face hallucination approach for low quality face image. ICIP 2013: 972-975
[c13]
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Junjun Jiang, Ruimin Hu, Liang Chen, Zhen Han, Tao Lu, Jun Chen:
Coupled-layer neighbor embedding for surveillance face hallucination. ICIP 2013: 2802-2806
[c12]
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Junjun Jiang, Ruimin Hu, Zhen Han, Zhongyuan Wang, Tao Lu, Jun Chen:
Locality-constraint iterative neighbor embedding for face hallucination. ICME 2013: 1-6
[c11]
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Tao Lu, Ruimin Hu, Zhen Han, Junjun Jiang, Yang Xia:
Robust super-resolution for face images via principle component sparse representation and least squares regression. ISCAS 2013: 1199-1202
[c10]
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Junjun Jiang, Ruimin Hu, Zhongyuan Wang, Zixiang Xiong, Zhen Han:
Support-driven sparse coding for face hallucination. ISCAS 2013: 2980-2983
[c9]
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Tao Lu, Ruimin Hu, Zhen Han, Junjun Jiang, Yanduo Zhang:
From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation. VCIP 2013: 1-6
2012
[c8]
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Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang:
A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embedding. ICASSP 2012: 1253-1256
[c7]
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Junjun Jiang, Ruimin Hu, Zhen Han, Kebin Huang, Tao Lu:
Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face recognition. ICIP 2012: 1465-1468
[c6]
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Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang:
Position-Patch Based Face Hallucination via Locality-Constrained Representation. ICME 2012: 212-217
[c5]
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Junjun Jiang, Ruimin Hu, Zhen Han, Kebin Huang, Tao Lu:
Efficient Single Image Super-Resolution via Graph Embedding. ICME 2012: 610-615
[c4]
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Shi Dong, Ruimin Hu, Weiping Tu, Xiang Zheng, Junjun Jiang, Song Wang:
Enhanced Principal Component Using Polar Coordinate PCA for Stereo Audio Coding. ICME 2012: 628-633
[c3]
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Kebin Huang, Ruimin Hu, Zhen Han, Tao Lu, Junjun Jiang, Feng Wang:
Face hallucination via K-selection mean constrained sparse representation. ICPR 2012: 882-885
[c2]
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Junjun Jiang, Ruimin Hu, Zhen Han, Tao Lu, Kebin Huang:
Surveillance face hallucination via variable selection and manifold learning. ISCAS 2012: 2681-2684
[c1]
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Zhen Han, Junjun Jiang, Ruimin Hu, Tao Lu, Kebin Huang:
Face image super-resolution via nearest feature line. ACM Multimedia 2012: 769-772

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