简介

文碧汉

助理教授, 电子电气学院 (EEE)

新加坡南洋理工大学 (NTU)

 

硕士 15', 博士 18', 计算机电子工程 , 伊利诺伊香槟大学 (UIUC)

本科 12', 电子电气工程 , 新加坡南洋理工大学 (NTU)

电邮: bihan.wen at ntu.edu.sg

最近新闻

  • 2019

  • [活动] 我将在 AI Summer Schoool @ Singapore 做报告, 时间是7月22 - 26号, 地点在新加坡国立大学.

    [活动] 我们组办了在 ICCV 2019 旗下的第一届 LCI Workshop . 欢迎大家投稿!

    [发表] 两篇论文被 ICIP 2019

    接收.

    [发表] 新论文提交到 IEEE SPM [ Preprint ]: A survey and tutorial on learning-based CS MRI.

    [通知] 我加入了 新加坡南洋理工大学 (NTU) , 成为助理教授 [ 学校主页 ] .

    [会议服务] 我成为 ICIP 2019 的领域主席 (AC), 以及 IJCAI 2019 的程序委员 (PC).

    [会议服务] 我成为 ICCV 2019, CVPR 2019, ICME 2019 NeurIPS 2019 的审稿人.

    [期刊服务] 我成为 IEEE Signal Processing Letters (SPL) Aerospace Science and Technology (AST) 的审稿人.

  • 2018

  • [学术服务] 我被选举成为 IEEE Computational Imaging TC 的委员, 任期 2019 - 2021.

    [发表] 论文被接收到 NeurIPS [ Paper , Codes ], IJCAI [ Paper , codes ], 和 ACML [ Paper , Codes ].

    [里程碑] 我通过了我的博士毕业答辩!

    [期刊服务] 我成为 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 的审稿人.

    教育

  • 伊利诺伊香槟大学(UIUC), 美国

  •      2012 - 2018, 研究生 / 博士生, 计算机与电子工程 (ECE)

         导师: Prof. Yoram Bresler

         研究兴趣:

         机器学习

         稀疏表达

         大数据

         图像/视频处理

     

  • 南洋理工大学 (NTU), 新加坡

  •      2008 - 2012, 本科, 电子电机工程 (EEE)

         导师: Prof. Yilong Lu

     

    发表

  • Preprint

  •       S. Wang, B. Wen, J. Wu, D. Tao, and Z. Wang, "Segmentation-Aware Image Denoising without Knowing True Segmentation," IEEE Transcations on Image Processing (TIP), under review. [ Arxiv:1905.08965 ]

          B. Wen, S. Ravishankar, L. Pfister, and Y. Bresler, "Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks," IEEE Signal Processing Magazine (SPM), under review. [ Arxiv:1903.11431 ]

          D. Liu, B. Wen, J. Jiao, X. Liu, Z. Wang, and T. Huang, "Connecting Image Denoising and High-Level Vision Tasks via Deep Learning," IEEE Transcations on Image Processing (TIP), under review. [ Arxiv:1809.01826 ]

          B. Wen, Y. Li, and Y. Bresler, "The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling," IEEE Transcations on Image Processing (TIP), under review. [ Arxiv:1808.01316 ]

  • 2019

  •       B. Wen, S. Ravishankar, and Y. Bresler, "VIDOSAT - High-dimensional Sparsifying Transform Learning for Online Video Restoration," IEEE Transcations on Image Processing (TIP), 2018. [ Arxiv:1710.00947 ]

  • 2018

  •       Z. Zha, X. Yuan, B. Wen , J. Zhou, and C. Zhu, "Joint Patch-Group Based Sparse Representation for Image Inpainting," Asian Conference on Machine Learning (ACML) 2018. [ Open Access ] [ Codes ]

          D. Liu, B. Wen, Y. Fan, C.-L. Chen, and T. Huang, "Non-Local Recurrent Network for Image Restoration," Conference on Neural Information Processing Systems (NIPS) 2018. [ Arxiv:1710.00947 ] [ Open Access ] [ Codes ]

          B. Wen, S. Ravishankar, and Y. Bresler, "VIDOSAT - High-dimensional Sparsifying Transform Learning for Online Video Restoration," IEEE Transcations on Image Processing (TIP), 2018. [ Arxiv:1710.00947 ]

          D. Liu, B. Wen, X. Liu, Zhangyang Wang, and T. Huang, “When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach,” International Joint Conference on Artificial Intelligence (IJCAI), 2018, to appear. [ Arxiv:1706.04284 ], [ Open Access ] [ codes ]

          B. Wen, and G. Su, “TransIm: Transfer Image Local Statistics Across EOTFs for HDR Image Applications,” IEEE International Conference on Multimedia and Expo (ICME), 2018. [ PDF ]

          B. Wen, U. Kamilov, D. Liu, H. Mansour, and P. Boufounos, “DeepCASD: An End-to-End Approach for Multispectral Image Super-Resolution,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018. [ PDF ]

  • 2017

  •       B. Wen, Y. Li, L. Pfister, and Y. Bresler, “Joint Adaptive Sparsity and Low-rankness on the Fly: An Online Tensor Reconstruction Method for Video Denoising,” IEEE International Conference on Computer Vision (ICCV), 2017. [ open access ], [ PDF ], [ codes ]

          B. Wen, S. Ravishankar, and Y. Bresler, “FRIST Flipping and Rotational Invariant Sparsifying Transform Learning and Applications,” Inverse Problems (IVP), 2017. [ PDF ]

          B. Wen, Y. Li, and Y. Bresler, “When Sparsity meets Low-Rankness: Transform Learning with Non-local Low-rank Constraint for Image Restoration,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. [ PDF ]

          Y. Zhu, T-T. Ng, B. Wen, X. Shen, and B. Li, “Copy-move Forgery Detection in the Presence of Similar but Genuine Objects,” IEEE International Conference on Signal and Image Processing (ICSIP), 2017. [ PDF ]

  • 2016

  •       B. Wen, S. Ravishankar, and Y. Bresler, “Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications,” International Journal of Computer Vision (IJCV), 2016. [ PDF ], [ codes ]

          D. Liu, Z. Wang B. Wen, J. Yang, W. Han, and T. Huang, “Robust Image Super-Resolution via Deep Networks with Sparse Prior,” IEEE Transcations on Image Processing (TIP), 2016. [ PDF ], [ codes ]

          S. Dev B. Wen, Y. Lee, and S. Winkler, “Ground-based Image Analysis: A Tutorial on Machine-Learning Techniques and Applications,” IEEE Geoscience and Remote Sensing Magazine (GRSM), 2016. [ PDF ]

          B. Wen, S. Ravishankar, and Y. Bresler, “Learning Flipping and Rotational Invariant Sparsifying Transform,” IEEE International Conference on Image Processing (ICIP), 2016. [ PDF ]

          B. Wen, Y. Zhu, R. Subramanian, T-T. Ng, X. Shen, and S. Winkler, “COVERAGE - A Novel Database for Copy-Move Forgery Detection,” IEEE International Conference on Image Processing (ICIP), 2016. [ PDF ], [ dataset ]

  • 2015

  •       S. Ravishankar, B. Wen, and Y. Bresler, “Online Sparsifying Transform Learning Part I: Algorithms,” IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2015. [ PDF ]

          B. Wen, S. Ravishankar and Y. Brelser, “Video Denoising by Online 3D Sparsifying Transform Learning,” to appear in Proc. IEEE Int. Conf. Image Processing (ICIP), 2015. [ PDF ], , [ codes ]

  • 2014

  •       B. Wen, S. Ravishankar and Y. Brelser, “Learning Overcomplete Sparsifying Transforms with Block Cosparsity,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2014.  (10% Top Paper) [ PDF ], [ codes ]

          S. Ravishankar, B. Wen and Y. Brelser, “Online Sparsifying Transform Learning for Big Data Signal Processing,” in Proc. IEEE Global Conf. on Signal and Information Processing (Global SIP), 2014.  [ PDF ]

  • Undergrat Works

  •       B. Wen and Y. Lu, “A study of synthetic aperture radar imaging with compressed sensing,” in Proc. IEEE Asia-Pacific Conf. on Antennas and Propagation (APCAP), 2012.  [LINK]

          B. Wen and Y. Lu, “MATLAB tools for EnviSAT ASAR data visualization and image enhancement,” in Proc. SPIE Int. Symp. on Lidar and Radar Mapping Tech., 2011.  [LINK]

     

    学术服务

  • 技术委员会

  • IEEE Computational Imaging, Technical Committee ( IEEE CI TC ), 2019 - 2021.

  • 会议成员/审稿人

  • Conference on Neural Information Processing Systems ( NeurIPS ), 2019

    Conference on Computer Vision and Pattern Recognition ( CVPR ), 2018 - 2019

    International Conference on Computer Vision ( ICCV ), 2019

    IEEE International Conference on Multimedia and Expo ( ICME ), 2019

    Asian Conference on Computer Vision ( ACCV ) 2018

    IEEE International Conference on Image Processing ( ICIP ), 2017 - 2019

  • 期刊审稿人

  • IEEE Transactions on Pattern Analysis and Machine Intelligence ( TPAMI )

    IEEE Transactions on Image Processing ( TIP )

    IEEE Transactions on Signal Processing ( TSP )

    IEEE Transactions on Circuits and Systems for Video Technology ( TCSVT )

    IEEE Transactions on Information Forensics and Security ( TIFS )

    IEEE Transactions on Computational Imaging( TCI )

    IEEE Signal Processing Letters ( SPL )

    Elsevier Neurocomputing ( Neurocomputing )

    IOP Inverse Problems ( IP )

    IEEE Access

    Electronics Letters ( EL )

    Aerospace Science and Technology ( AST )

    IET Radar, Sonar and Navigation ( RSN )

    Journal of Electronic Imaging ( JEI )

    Journal of Experimental & Theoretical Artificial Intelligence ( JETAI )

    Current Medical Imaging Reviews ( CMIR )

  • 组织会议

  • 组织者, ICCV 2019 Workshop on Learning for Computational Imaging (LCI) ( LCI 2019 )

    Demo主席, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2019 )

    领域主席, Coordinated Science Laboratory Student Conference ( CSLSC 2017 )

    领域助理, Allerton Conference on Communication, Control, and Computing ( Allerton 2017 )

    经历

    Coordinated Science Lab

    Aug 2012 – present

    I am working with Prof. Yoram Bresler on machine learning for sparse data representation. We developed novel sparse model and transform learning algorithms for many data applications. We are working on extension to high-dimensional and large-scale problems, as well as combination with high-level vision problems with deep learning.

    Mitsubishi Elec. Research Lab. (MERL)

    May – Aug 2017

    I worked with Prof. Ulugbek Kamilov and Dr. Dehong Liu on multi-spectral data fusion problems. We proposed novel deep neural networks by unfolding the coupled dictionary learning.

    Dolby Laboratories

    May - Aug 2016

    I worked with Dr. Guan-Ming Su and Dolby Vision team on high dynamic range (HDR) video enhancement and reshaping problems. Our proposed methods have been patented and used in Dolby Vision codec.

    Advancec Digital Science Center

     

    May - Aug 2015

    I worked with Dr. Stefan and Dr. Rama Ratnam on several computer vision projects, including (i) machine learning applications in remote sensing, and (ii) image forgery detection using multi-model signal and data.

    ECE Department ECE 210

     

    2013 - 2014

    I was the head teaching assistant for ECE 210 Analog Signal Processing under Prof. Erhan Kudeki. I teached in the weekly lab and provided office hours. It is the major course for ECE undergraduate students. I was nominated for Harold L. Olesen Award by the students.

    Nanyang Technological University

    2008 - 2012

    I received my B.S. degree from Nanyang Technological University (NTU), Electrical and Electronic Engineering (EEE) in Singapore. During the 4 years undergraduate study, I worked with Prof. Yilong Lu for synthetic aperture radar (SAR) data analysis research.

    开源程序

    Video Denoising via SALT

    The proposed algorithm denoises video online by reconstructing Sparse And Low-rank Tensor (SALT) sequentially.

    It Provides state-of-the-art denoising quality with cheap computation, small memory footprint, and low latency.

    Paper available [ here ].

    Download the codes [ here ].

    OCTOBOS learning and applications

    The proposed algorithm adaptively learns a structured overcomplete sparsifying transform with block cosparsity.

    It Provides simultaneous data clustering and reconstruction.

    Paper available [ here ].

    Download the codes [ here ].

    COVERAGE dataset for copy-move forgery detection

    COVERAGE contains copymove forged (CMFD) images and their originals with similar but genuine objects (SGOs).

    COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images.

    Paper available [ here ].

    Download the dataset [ here ].