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Joint Dimensionality Reduction for Separable Embedding Estimation

Jan 14, 2021
Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler


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Feature Distillation With Guided Adversarial Contrastive Learning

Sep 21, 2020
Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex Kot


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Removing Backdoor-Based Watermarks in Neural Networks with Limited Data

Aug 08, 2020
Xuankai Liu, Fengting Li, Bihan Wen, Qi Li


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Generating Person Images with Appearance-aware Pose Stylizer

Jul 17, 2020
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou

* Appearing at IJCAI 2020. The code is available at https://github.com/siyuhuang/PoseStylizer 

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Attentive Graph Neural Networks for Few-Shot Learning

Jul 14, 2020
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen


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Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration

Jun 24, 2020
Lanqing Guo, Saiprasad Ravishankar, Bihan Wen


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Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection

Jun 14, 2020
Zerui Shao, Yifei Pu, Jiliu Zhou, Bihan Wen, Yi Zhang


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The Power of Triply Complementary Priors for Image Compressive Sensing

May 16, 2020
Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu

* 2020 International Conference on Image Processing 

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A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems

Mar 29, 2020
Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler


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Segmentation-Aware Image Denoising without Knowing True Segmentation

May 22, 2019
Sicheng Wang, Bihan Wen, Junru Wu, Dacheng Tao, Zhangyang Wang


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Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks

Mar 25, 2019
Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler

* Submitted to IEEE Signal Processing Magazine, Special Issue on Computational MRI: Compressed Sensing and Beyond 

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Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

Sep 06, 2018
Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang

* arXiv admin note: text overlap with arXiv:1706.04284 

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The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling

Aug 03, 2018
Bihan Wen, Yanjun Li, Yoram Bresler

* 13 pages, 7 figures, submitted to TIP 

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Non-Local Recurrent Network for Image Restoration

Jun 07, 2018
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang


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When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach

Apr 16, 2018
Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang

* the 27th International Joint Conference on Artificial Intelligence (2018) 

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FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications

Oct 16, 2017
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler

* Published in Inverse Problems 

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VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising

Oct 03, 2017
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler


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Machine Learning Techniques and Applications For Ground-based Image Analysis

Jun 09, 2016
Soumyabrata Dev, Bihan Wen, Yee Hui Lee, Stefan Winkler


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