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From Rain Removal to Rain Generation

Aug 08, 2020
Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng


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Meta Feature Modulator for Long-tailed Recognition

Aug 08, 2020
Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng


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Learning to Purify Noisy Labels via Meta Soft Label Corrector

Aug 03, 2020
Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

* 12 pages,6 figures 

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Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize

Jul 31, 2020
Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu

* 21 pages 

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Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Jul 15, 2020
Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu


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Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation

Jul 12, 2020
Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng

* Accepted by ECCV 2020 

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Meta Transition Adaptation for Robust Deep Learning with Noisy Labels

Jun 12, 2020
Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng

* 14 pages 

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Structural Residual Learning for Single Image Rain Removal

May 19, 2020
Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng


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A Model-driven Deep Neural Network for Single Image Rain Removal

May 04, 2020
Hong Wang, Qi Xie, Qian Zhao, Deyu Meng


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Ball k-means

May 02, 2020
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei


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LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation

Mar 20, 2020
Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

* Accepted to Proc. IEEE Conf. Computer Vision and Pattern Recognition 2020 

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Learning Adaptive Loss for Robust Learning with Noisy Labels

Feb 16, 2020
Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng

* 10pages 

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A Survey on Rain Removal from Video and Single Image

Oct 03, 2019
Hong Wang, Yichen Wu, Minghan Li, Qian Zhao, Deyu Meng


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Variational Denoising Network: Toward Blind Noise Modeling and Removal

Sep 23, 2019
Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng

* 11 pages, 4 figures 

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Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

Sep 13, 2019
Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng

* 14 pages, 15 figures 

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Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

Feb 22, 2019
Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

* 10 pages, 4 figures, 2 tables 

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Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

Feb 20, 2019
Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

* 10 pages, 4 figures, 2 tables 

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Progressive Image Deraining Networks: A Better and Simpler Baseline

Jan 26, 2019
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng

* The codes, pre-trained models and results are available at https://github.com/csdwren/PReNet 

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Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Jan 10, 2019
Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu

* 10 pages, 7 figures 

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Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians

Nov 07, 2018
Hongwei Yong, Deyu Meng, Jinxing Li, Wangmeng Zuo, Lei Zhang

* 8 pages, 6 figures 

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Few-Example Object Detection with Model Communication

Oct 30, 2018
Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, Deyu Meng

* Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2018 

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Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing

Sep 18, 2018
Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung

* 25 pages, 27 figures, 3 tables, machine learning, regularization 

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Discovering Influential Factors in Variational Autoencoder

Sep 06, 2018
Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng

* 15 pages, 8 figures 

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