简介

文碧汉

南洋助理教授, 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

  • 2020

  • [发表] 两篇文章被 ICIP 2020 接收, 其中包括组内第一篇学生论文,恭喜程昊.

    [发表] 一篇论文被 IEEE SPM 接收: [ Preprint ] [ Paper ]: Transform learning-based CS MRI and beyond.

    [发表] 另一篇论文被 IEEE TIP 接收, to appear.

    [发表] 一篇论文被 IJCAI 2020 接收.

    [发表] 一篇论文被 ICME 2020 接收.

    [发表] 一篇论文被 ICASSP 2020 接收.

    [发表] 三篇篇论文被 IEEE TIP 接收: [ STROLLR ], [ BenchmarkCS ] and [ DeepDenoising ].

    [活动] 我们和IEEE SPS和CI TC一起主办 SPACE 2020 网上讲座和论坛.

    [活动] 我受邀在 VALSE Webinar 2020 做报告, [ 幻灯片 ].

    [活动] 我受邀将在 UG2 CVPR Challenge 2020 做主题报告.

    [会议服务] 我成为 ICASSP 2020 的领域主席 Area Chair (AC).

    [会议服务] 我成为 IJCAI 2020 , AAAI 2020, ECCV 2020 , CVPR 2020 and ICML 2020 的委员审稿人.

    [刊物服务] 我成为 IEEE Transactions on Systems Man Cybernetics-Systems (SMCA) 的审稿人.

  • 2019

  • [发表] 两篇刊物论文被 TIP 接收: [ VIDOSAT ] and [ RRC ].

    [发表] 一篇刊物论文被接收到 GeoPhysics 接收: Paper , Slides ]: Transform Learning for seismic wave processing.

    [发表] 一篇会议论文被接收到 CSS 2019 (安全领域顶会, 录取率 < 10%): [ HyperService ]

    [发表] 两篇会议论文被接收到 ICIP 2019 : [ SNSS ] and [ NNNM ]

    [专利] 三菱研究院 的美国专利被批准: [ Systems and Methods for Multi-Spectral Image Super-Resolution ].

    [专利] 杜比实验室 的美国专利被批准: [ Inverse Luma/Chroma Mappings with Histogram Transfer and Approximation ].

    [公告] 我被授予NTU荣誉头衔 南洋助理教授 .

    [活动] 我们成功组办了在 ICCV 2019 的第一届 LCI Workshop .

    [活动] 我在 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.

    [会议服务] 我成为 ICIP 2019 ICASSP 2019 的领域主席 Area Chair (AC).

    [会议服务] 我成为 IJCAI 2019 的项目委员.

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

    [期刊服务] 我成为 Medical Image Analysis (MIA) MICCAI 的官方刊物) 的审稿人.

    [期刊服务] 我成为 Magnetic Resonance Imaging (MRI) SIAM Journal on Imaging Sciences (SIIMS) 的审稿人.

    [期刊服务] 我成为 IEEE Transactions on Multimedia (TMM) IEEE Signal Processing Letters (SPL) 的审稿人.

    [公告] 我加入了 新加坡南洋理工大学 (NTU) , 成为终生轨-助理教授.

  • 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

     

  • 成都石室中学,中国

  •      2004 - 2007, 高中教育

     

    近期发表

  • Preprint

  •       B. Wen, Y. Li, Y. Li, and Y. Bresler, "A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems," [ Arxiv:2003.12985 ]

          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 ] [ Codes ]

  • 2020

  •       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), 2020. [ Arxiv:1903.11431 ] [ Paper ]

          B. Wen, Y. Li, and Y. Bresler, "Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers," IEEE Transcations on Image Processing (TIP), 2020. [ Arxiv:1808.01316 ] [ Paper ]

          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), 2020. [ Arxiv:1809.01826 ] [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and Ce Zhu, "Image Restoration Using Joint Patch-Group Based Sparse Representation," IEEE Transcations on Image Processing (TIP). 2020.

          Z. Zha, X. Yuan, J. Zhou, Ce Zhu, and B. Wen, "A Hybrid Structural Sparse Error Model for Image Deblocking," IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2020. [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang, and C. Zhu, "A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization," IEEE Transcations on Image Processing (TIP), 2020. [ Arxiv:1709.03979 ] [ Paper ] [ Codes ]

  • 2019

  •       Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang, and C. Zhu, "From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration," IEEE Transcations on Image Processing (TIP), 2019. [ Arxiv:1807.02504 ] [ Paper ] [ Codes ]

          Z. Liu, Y. Xiang, J. Shi, P. Gao, H. Wang, X. Xiao, B. Wen, and Y. Hu, "HyperService: Interoperability and Programmability across Heterogeneous Blockchains," ACM Computer and Communications Security (CCS), 2019. [ Arxiv:1908.09343 ] [ Paper ]

          X Wang, B. Wen, and J Ma, "Denoising with weak signal preservation by group-sparsity transform learning," Geophysics, 2019. [ Paper ]

          B. Wen, S. Ravishankar, and Y. Bresler, "VIDOSAT - High-dimensional Sparsifying Transform Learning for Online Video Restoration," IEEE Transcations on Image Processing (TIP), 2019. [ Arxiv:1710.00947 ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and C. Zhu, “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising,” IEEE International Conference on Image Processing (ICIP), 2019. [ Paper ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, and C. Zhu, “A Comparative Study for the Nuclear Norms Minimization Methods,” IEEE International Conference on Image Processing (ICIP), 2019. [ Paper ] [ Codes ]

  • 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

  • IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP 2020 )

    IEEE International Conference on Image Processing (ICIP 2019)

  • Conference PC / Reviewer

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

    Conference on Computer Vision and Pattern Recognition ( CVPR ), 2018 - 2020

    International Conference on Computer Vision ( ICCV ), 2019

    International Conference on Machine Learning ( ICML ), 2020

    European Conference on Computer Vision ( ECCV ), 2020

    International Joint Conferences on Artificial Intelligence ( IJCAI ), 2019

    AAAI Conference on Artificial Intelligence ( AAAI ), 2020

    IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2020

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

    Asian Conference on Computer Vision ( ACCV ) 2018

    IEEE International Conference on Image Processing ( ICIP ), 2017 - 2020

    IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2020

  • 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 Multimedia ( TMM )

    IEEE Transactions on Information Forensics and Security ( TIFS )

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

    IEEE Transactions on Computational Imaging ( TCI )

    IEEE Signal Processing Letters ( SPL )

    SIAM Journal on Imaging Sciences ( SIIMS )

    Medical Image Analysis ( MIA )

    Magnetic Resonance Imaging ( MRI )

    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 )

    团队成员

    查致远 (博士)

    研究员

    图像和视频处理; 压缩感知; 机器学习; 优化.

    个人主页 [ Link ].

    庞孟 (博士)

    研究员

    人脸识别于搜索; 机器学习; 优化

    个人主页 [ Link ].

    朱江

    研究助理

    深度学习; 计算机视觉; 非局部网络; 图像融合.

    程昊

    博士生

    机器学习; 深度图神经网络; 度量学习.

    过岚清

    博士生

    机器学习; 优化; 深度神经网络; 图像与视频处理.

    蓝天 (Iris)

    博士生

    机器学习; 优化; 空间技术; 遥感图像处理.