Search Results - Bihan Wen

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  1. 161
    Raw Image Reconstruction with Learned Compact Metadata

    Raw Image Reconstruction with Learned Compact Metadata by Wang, Yufei, Yu, Yi, Yang, Wenhan, Guo, Lanqing, Lap-Pui Chau, Kot, Alex, Bihan Wen

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  2. 162
    Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration

    Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration by Guo, Lanqing, Zha, Zhiyuan, Ravishankar, Saiprasad, Bihan Wen

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  3. 163
    Removing Image Artifacts From Scratched Lens Protectors

    Removing Image Artifacts From Scratched Lens Protectors by Wang, Yufei, Wan, Renjie, Yang, Wenhan, Bihan Wen, Lap-Pui Chau, Kot, Alex C

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  4. 164
    Recent Advances in Adversarial Training for Adversarial Robustness

    Recent Advances in Adversarial Training for Adversarial Robustness by Bai, Tao, Luo, Jinqi, Zhao, Jun, Bihan Wen, Wang, Qian

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  5. 165
    ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

    ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal by Guo, Lanqing, Wang, Chong, Yang, Wenhan, Huang, Siyu, Wang, Yufei, Pfister, Hanspeter, Bihan Wen

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  6. 166
    Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation

    Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation by Guo, Lanqing, He, Yingqing, Chen, Haoxin, Xia, Menghan, Cun, Xiaodong, Wang, Yufei, Huang, Siyu, Zhang, Yong, Wang, Xintao, Chen, Qifeng, Shan, Ying, Bihan Wen

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  7. 167
    Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing

    Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing by Zha, Zhiyuan, Bihan Wen, Yuan, Xin, Ravishankar, Saiprasad, Zhou, Jiantao, Zhu, Ce

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  8. 168
    Joint Dimensionality Reduction for Separable Embedding Estimation

    Joint Dimensionality Reduction for Separable Embedding Estimation by Li, Yanjun, Bihan Wen, Cheng, Hao, Bresler, Yoram

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  9. 169
    Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

    Making Your First Choice: To Address Cold Start Problem in Vision Active Learning by Chen, Liangyu, Bai, Yutong, Huang, Siyu, Lu, Yongyi, Bihan Wen, Yuille, Alan L, Zhou, Zongwei

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  10. 170
    Attentive Graph Neural Networks for Few-Shot Learning

    Attentive Graph Neural Networks for Few-Shot Learning by Cheng, Hao, Zhou, Joey Tianyi, Wee Peng Tay, Bihan Wen

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  11. 171
    Removing Backdoor-Based Watermarks in Neural Networks with Limited Data

    Removing Backdoor-Based Watermarks in Neural Networks with Limited Data by Liu, Xuankai, Li, Fengting, Bihan Wen, Li, Qi

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  12. 172
    Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning

    Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning by Zhang, Rongkai, Zhang, Cong, Cao, Zhiguang, Song, Wen, Puay Siew Tan, Zhang, Jie, Bihan Wen, Dauwels, Justin

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  13. 173
    Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection

    Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection by Shao, Zerui, Pu, Yifei, Zhou, Jiliu, Bihan Wen, Zhang, Yi

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  14. 174
    The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling

    The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling by Bihan Wen, Li, Yanjun, Bresler, Yoram

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  15. 175
    Parameter-Free Style Projection for Arbitrary Style Transfer

    Parameter-Free Style Projection for Arbitrary Style Transfer by Huang, Siyu, Xiong, Haoyi, Wang, Tianyang, Bihan Wen, Wang, Qingzhong, Chen, Zeyu, Huan, Jun, Dou, Dejing

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  16. 176
    SinSR: Diffusion-Based Image Super-Resolution in a Single Step

    SinSR: Diffusion-Based Image Super-Resolution in a Single Step by Wang, Yufei, Yang, Wenhan, Chen, Xinyuan, Wang, Yaohui, Guo, Lanqing, Lap-Pui Chau, Liu, Ziwei, Yu, Qiao, Kot, Alex C, Bihan Wen

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  17. 177
    Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks

    Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks by Wen, Bihan, Ravishankar, Saiprasad, Pfister, Luke, Bresler, Yoram

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  18. 178
    A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems

    A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems by Bihan Wen, Li, Yanjun, Li, Yuqi, Bresler, Yoram

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  19. 179
    FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications

    FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications by Bihan Wen, Ravishankar, Saiprasad, Bresler, Yoram

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  20. 180
    VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising

    VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising by Bihan Wen, Ravishankar, Saiprasad, Bresler, Yoram

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