About

Bihan Wen

Nanyang Assistant Professor

School of Electrical and Electronic Engineering (EEE)

Nanyang Technological University (NTU), Singapore

 

PhD 18', MS 15', ECE , University of Illinois at Urbana-Champaign (UIUC)

BE 12', EEE , NTU, Singapore

Email: bihan.wen at ntu.edu.sg

News

  • [Hiring] I have 1x Post-Doc Research Fellows openings on Robotics and Machine Vision. Contact me if you are interested.

  • 2022

    • [News] Our group's undergrads received top PhD offers from UIUC, CMU, Georgia Tech, UW, Rice U, etc. Congratulations!

    [News] Our FYP student, Ziqi Huang, won the prestigious Lee Kuan Yew Gold Medal, [News]. Congratulations!

    [Event] We are organizing the Best Student Paper Competition 2022, supported by PREMIA Singapore Chapter.

    [Special Issue] We are organizing a Special Issue Volume II on learning for imaging, with Micromachines , due on Oct 15, 2022.

    [Publication] Two papers have been accepted to ECCV 2022 , To Appear.

    [Publication] One more paper has been accepted to IEEE TNNLS , [ Paper ].

    [Publication] One paper has been accepted to Remote Sensing , [ Paper ], [ Database ]: First PoI / Transportation dataset of Singapore.

    [Publication] One paper has been accepted to IEEE TIFS , [ Paper ].

    [Publication] One paper has been accepted to Micromachines , [ Paper ], [ Database ].

    [Publication] One paper has been accepted to IEEE TMI , [ Paper ].

    [Publication] One paper has been accepted to IEEE TNNLS , [ Paper ] [ Codes ].

    [Publication] One paper has been accepted to IEEE TIP , [ Paper ] [ Preprint ] [ Codes ]. Congrats to Lanqing!

    [Publication] Three papers have been accepted to IEEE ICASSP 2022 . Will join the physical meeting in Singapore!

    [Publication] One paper hs been accepted to IEEE ICIP 2022 .

    [Publication] Two paper has been accepted to IEEE MIPR 2022 .

    [Editorship] I became the Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) .

    [Special Issue] We are organizing a Special Issue on IEEE Signal Processing Magazine (SPM) . White Paper Due on Dec 1, 2021.

    [Conference Service] I became the TPC Chair for IEEE MIPR 2022 .

    [Conference Service] I became the Publicity Chair for IEEE ICARCV 2022 .

    [Conference Service] I became the Area Chair for ICASSP 2022 , ICIP 2022 and ICME 2022 .

    [Conference Service] I became the Reviewer for CVPR 2022 and ECCV 2022 .

    [Award] I am honored to receive the Early Career Teaching Excellence Award by the School of EEE, NTU.

  • 2021

    • [Event] Our 2nd LCI Workshop @ ICCV 2021 is held on Oct 16. [ Homepage ] [ Proceeding ].

    [News] Our group's undergrad student Jiafei Duan is featured on News: [ KBH Award ], [ Straights Times ], [ NTU News ]

    [News] Our group's undergrad student Kaiyi Yang is featured on News: [ UA Research Award ]

    [Publication] One more paper has been accepted to IEEE TNNLS . [ Paper ] [ Codes ].

    [Publication] One paper has been accepted to IEEE TMM . [ Preprint ], [ Paper ].

    [Publication] One paper has been accepted to ACM MM 2021 . [ Preprint] [ Codes ] [ Paper ]: First DRL for Enlightening.

    [Publication] One paper has been accepted to IEEE TCYB . [ Paper ] [ Codes ]

    [Publication] Two papers have been accepted to IEEE TIP , [ Paper ] [ Codes ].

    [Publication] One paper has been accepted to IEEE TDSC . [ Paper ]

    [Publication] One paper has been accepted to IJCAI 2021 , survey on Adversarial Training. [ Preprint ]

    [Publication] Six papers have been accepted to ICIP 2021 , to appear.

    [Publication] One paper has been accepted to ICME 2021 with oral presentation.

    [Publication] Two papers accepted to ICASSP 2021, including our first undergrad student paper by Kaiyi Yang. Congratulations!

    [Publication] One paper has been accepted to IEEE TNNLS , [ Codes ] [ Paper ]

    [Publication] One paper has been accepted to IEEE TIFS , [ Codes ] [ Paper ].

    [Publication] One paper has been accepted to RSC Advances [ Paper ].

    [Publication] One paper has been accepted to Cytometry Part A , [ Paper ].

    [Patent] One US Patent with Dolby has been issued. [ HDR Denoising ]

    [Special Issue] I am organizing a Special Issue on machine learning for imaging, with Micromachines , due on Dec 31, 2021.

    [Conference Service] I became the Area Chair (AC) for ICASSP 2021 , ICIP 2021 and ICME 2021 .

    [Conference Service] I became the Reviewer for ICCV 2021 , AAAI 2021 and CVPR 2021 .

    [Event] I am invited to be the speaker at SPS AI Summer School 2021.

    [Event] We are organizing the 2nd LCI Workshop , jointly with ICCV 2021 .

    [Event] I am invited to be the keynote speaker at UG2 Workshop @ CVPR 2021 .

    [Event] We are organizing the SPACE 2021 , which is supported by IEEE SPS and CI TC.

    Education

  • University of Illinois at Urbana-Champaign (UIUC), USA

    •      2015 - 2018, [ Ph.D. ], Electrical and Computer Engineering (ECE)

         2012 - 2015, [ M.S. ], Electrical and Computer Engineering (ECE)

         Advisor: Prof. Yoram Bresler

         Research Fields:

         Machine Learning, Sparse / Low-Rank Representation, Image / Video Processing,

         Computer Vision, Computational Imaging, Optimization.

  • Nanyang Technological University (NTU), Singapore

    •      2008 - 2012, Bachelor, Electrical and Electronic Engineering (EEE)

         Advisor: Prof. Yilong Lu

     

    Selected Publications

  • Preprint

    •       Zhiyuan Zha, B. Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou and Ce Zhu, "Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing (Review Paper)" [ arXiv:2203.09656].

          L. Guo, R. Wang, W. Yang, Alex Kot and B. Wen, "Enhancing Low-Light Images in Real World via Cross-Image Disentanglement," [ arXiv:2201.03145 ].

          H. Cheng, K-H. Yap and B. Wen, "Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification," [ Arxiv:2106.00256 ] [ Codes ].

          H. Cheng, Y. Wang, H. Li, A-C. Kot and B. Wen, "Disentangled Feature Representation for Few-shot Image Classification," [ Arxiv:2109.12548 ] [ Codes ].

          Y. Li, B. Wen, H. Cheng, and Y. Bresler, "Joint Dimensionality Reduction for Separable Embedding Estimation," [ Arxiv:2101.05500 ].

          T. Bai, J. Chen, J. Zhao, B. Wen, X. Jiang and A. Kot, "Feature Distillation With Guided Adversarial Contrastive Learning" [ Arxiv:2009.09922 ].

          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 ].

  • 2022

    •       S. Huang, T. Wang, H. Xiong, B. Wen, J. Huan and D. Dou, "Temporal Output Discrepancy for Loss Estimation-based Active Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), To Appear.

          M. Pang, B. Wang, S. Huang, Y-M Cheung and B. Wen, "A Unified Framework for Bidirectional Prototype Learning from Contaminated Faces across Heterogeneous Domains," IEEE Transactions on Information Forensics & Security (TIFS), [ Paper ].

          Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu and A. Kot, "Low-Rankness Guided Group Sparse Representation for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Paper ] [ Codes ].

          X. Chen, W. Xia, Y. Liu, H. Chen, J. Zhou, Z. Zha, B. Wen and Y. Zhang, "FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction," IEEE Transactions on Medical Imaging (TMI). [ Paper ].

          T. Lan, H. Cheng, Y. Wang and B. Wen, "Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore," Remote Sensing. [ Paper ], [ Database ].

          Hong Duc Nguyen, Rizhao Cai, Heng Zhao, Alex C. Kot and B. Wen, "Towards More Efficient Security Inspection Via Deep Learning: A Task-Driven X-Ray Image Cropping Scheme," Micromachines. [ Paper ], [ Database ].

          L. Guo, Z. Zha, S. Ravishankar and B. Wen, "Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration," IEEE Transactions on Image Processing (TIP). [ Arxiv:2006.13714 ] [ Codes ] [ Paper ].

          S. Lin, Y. Ma, Z. Guo and B. Wen, "DVS-Voltmeter: Stochastic Process-based Event Simulator for Dynamic Vision Sensors," European Conference on Computer Vision (ECCV) 2022. [ Codes ] To Appear.

          J. Duan, S. Yu, S. Poria, B. Wen and C. Tan, "PIP: Physical Interaction Prediction via Mental Simulation with Span Selection," European Conference on Computer Vision (ECCV) 2022. [ Arxiv:2109.04683 ] To Appear.

          Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, "Simultaneous Nonlocal Low-Rank and Deep Priors for Poisson Denoising," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. [ Paper ], [ Codes ].

          S. Huang, H. Xiong, T. Wang, B. Wen, Q. Wang, Z. Chen, J. Huan and D. Dou, "Parameter-Free Style Projection For Arbitrary Style Transfer," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. [ Paper ]

          K. Jing, X. Zhang, Z. Yang and B. Wen, "Feature Augmentation Learning for Few-Shot Palmprint Image Recognition with Unconstrained Acquisition," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. [ Paper ]

          H. Cheng, J. Zhou, W-P. Tay and B. Wen, "Attentive Graph Neural Networks for Few-Shot Learning," International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. [ Codes ], To Appear.

          Y. Lin, J. Li, L. Guo and B. Wen, "RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement," International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. [ RE2L Dataset ], To Appear.

          C. Wang, R. Zhang, S. Ravishankar and B. Wen, "REPnP: Plug-And-Play With Deep Reinforcement Learning Prior for Robust Image Restoration," IEEE International Conference on Image Processing (ICIP) 2022. To Appear.

  • 2021

    •       M. Pang, B. Wang, M. Ye, Y-M Cheung, Y. Chen and B. Wen, "DisP+V: A Unified Framework for Disentangling Prototype and Variation from Single Sample per Person," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [ Paper ] [ Codes ]

          Z Shao, Y Pu, J Zhou, B. Wen and Y Zhang , "Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection," IEEE Transactions on Multimedia (TMM), 2021. [ Arxiv:2006.07795 ], [ Paper ].

          R. Zhang, L. Guo, S. Huang and B. Wen, "ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement," ACM International Conference on Multimedia (ACM MM), 2021. [ Arxiv:2107.05830 ] [ Codes ] [ Paper ].

          Z. Zha, B. Wen, X. Yuan, J. T. Zhou, J. Zhou and Ce Zhu, "Triply Complementary Priors for Image Restoration," IEEE Transactions on Image Processing (TIP), 2021. [ Paper ] [ Download ] [ Codes ]

          Z. Zha, X. Yuan, B. Wen, J. Zhang and Ce Zhu, "Non-Convex Structural Sparsity Residual Constraint for Image Restoration," IEEE Transactions on Cybernetics (TCYB), 2021. [ Paper ] [ Codes ]

          Z. Liu, Y. Xiang, J. Shi, P. Gao, H. Wang, X. Xiao, B. Wen, Q. Li and Y-C. Hu, "Make Web3.0 Connected," IEEE Transactions on Dependable and Secure Computing (TDSC), 2021. [ Paper ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou, and Ce Zhu, "Image Restoration via Reconciliation of Group Sparsity and Low-rank Models," IEEE Transactions on Transactions on Image Processing (TIP), 2021. [ Paper ] [ Codes ]

          M. Pang, B. Wang, Y-M Cheung, Y. Chen and B. Wen, "VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person," IEEE Transactions on Information Forensics and Security (TIFS), 2021. [ Codes ] [ Paper ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu and Alex C. Kot, "A Hybrid Structural Sparsification Error Model for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. [ Codes ] [ Paper ]

          S. Luo, Y. Shi, L-K. Chin, Y. Zhang, B. Wen, Y. Sun, B. T-T. Nguyen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang and A-Q. Liu, "Rare bioparticle detection via deep metric learning," RCS Advances, [ Paper ].

          S. Luo, K-T. Nguyan, B. T-T. Nguyen, S. Feng, Y. Shi, A. Elsayed, Y. Zhang, X. Zhou, B. Wen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang and A-Q. Liu, "Deep Learning-Enabled Imaging Flow Cytometry for High-Speed Cryptosporidium and Giardia Detection," Cytometry Part A, [ Paper ].

          T. Bai, J. Luo, J. Zhao, B. Wen and Q. Wang, "Recent Advances in Adversarial Training for Adversarial Robustness" International Joint Conference on Artificial Intelligence (IJCAI), 2021. [ Arxiv:2102.01356 ], [ Paper ].

          M. Pang, B. Wang, Y-M Cheung, Y. Chen and B. Wen, "Disentangling Prototype and Variation for Single Sample Face Recognition," IEEE International Conference on Multimedia and Expo (ICME), 2021. [ Paper ]

          L. Guo, Z. Zha, S. Ravishankar and B. Wen, "Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration," IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2021. [ Paper ] [ Arxiv:2006.13714 ]

          K. Yang, N. Borijindargoon, B-P. Ng, S. Ravishankar and B. Wen, "Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography," IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2021. [ Paper ]

          L. Guo, R. Wan, G-M. Su, A. Kot and B. Wen, "Multi-Scale Feature Guided Low-Light Image Enhancement," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ]

          R. Zhang, J. Zhu, Z. Zha, J. Dauwels and B. Wen, "R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ] [ Arxiv:2107.05318 ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, "Low-Rank Regularized Joint Sparsity for Image Denoising," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ]

          L. Huang, D. Cheng, X. Yang, T. Lin, Y. Shi, K. Yang, B-H. G and B. Wen, "Joint Anomaly Detection and Inpainting for Microscopy Images via Deep Self-Supervised Learning," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ] [ MIIC Dataset ]

          S. Liang, B. Iskender, B. Wen and S. Ravishankar, "LABMAT: Learned Feature-domain Block Matching for Image Restoration," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ]

          W. Tan, B. Wen, C. Chen, Z. Zeng and X. Yang, "Systematic Analysis of Circular Artifacts for StyleGAN ," IEEE International Conference on Image Processing (ICIP), 2021. [ Paper ] [ Preprint ]

  • 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 ]

          Z. Zha, X. Yuan, B. Wen, J. Zhou and C. Zhu, "Group Sparsity Residual Constraint with Non-Local Priors for Image Restoration," IEEE Transactions on Image Processing (TIP), 2020. [ Paper ] [ Codes ]

          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, J. Zhou, Ce Zhu, and B. Wen, "Image Restoration via Simultaneous Nonlocal Self-Similarity Priors," IEEE Transcations on Image Processing (TIP), 2020. [ 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. [ 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 ]

          X. Liu, F. Li, B. Wen and Q. Li, "Removing Backdoor-Based Watermarks in Neural Networks with Limited Data," International Conference on Pattern Recognition (ICPR), 2020, Accepted. [ Arxiv:2008.00407 ]

          H. Cheng and B. Wen, "Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification," IEEE International Conference on Image Processing (ICIP), 2020, Accepted. [ Paper ] [ Codes ]

          X. Yang, X. Zhao, G. Tjio, C. Chen, L. Wang, B. Wen, and Y. Su, "OpenCC – An Open Benchmark Dataset for Corpus Callosum Segmentation and Evaluation," IEEE International Conference on Image Processing (ICIP), 2020, Accepted. [ Paper ] [ Dataset ]

          Z. Zha, X. Yuan, T. Zhou, J. Zhou, B. Wen, and Ce Zhu, "The Power of Triply Complementary Priors for Image Compressive Sensing," IEEE International Conference on Image Processing (ICIP), 2020, Accepted. [ Arxiv:2005.07902 ] [ Codes ] [ Paper ]

          Z. Zha, B. Wen, X. Yuan, J. Zhou, and Ce Zhu, "Reconciliation of Group Sparsity and Low-rank models for Image Restoration," IEEE International Conference on Multimedia and Expo (ICME), 2020. [ Paper ] [ Codes ] [ Best Paper Runner Up Award ] .

          S. Huang, H. Xiong, Z-Q. Cheng, Q. Wang, X. Zhou, B. Wen, J. Huan, and D. Dou, "Generating Person Images with Appearance-aware Pose Stylization," International Joint Conference on Artificial Intelligence (IJCAI), 2020. [ Arxiv:2007.09077 ] [ Paper ] [ Codes ]

          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, Accepted. [ 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 , and G. Su, "When Smart Signal Processing Meets Smart Imaging," International Conference on Smart Multimedia (ICSM) 2018. [ Paper ]

          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 ], [ codes ]

          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 ], [ codes ]

          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 ], [ codes ]

          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.  [ Top 10% Best Paper Award ] [ 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 ]

     

    Team Members

    Dr. Zhiyuan Zha

    Research Fellow

    Ph.D. Nanjing University

    ICME 2020 Best Paper Runner Up

    ICME 2017 Platinum Best Paper

    Homepage [ Link ].

    Dr. Hongchuan Feng

    Principal Research Engineer

    Ph.D. Chinese Academy of Sciences

    Radar Imaging and Signal Processing

    Dr. Meng Pang

    Research Fellow

    Ph.D. HKBU

    Face Recognition and Retrieval

    ResearchGate [ Link ].

    Joining Nanchang University as Full Professor!

    Dr. Narong Borijindargoon

    Research Fellow

    Ph.D. Nanyang Tech U

    Signal Processing, Computational Imaging.

    Dr. Yuanyuan Qing

    Research Fellow

    Ph.D. Nanyang Tech U

    NPGS Scholar

    Deep Learning; AI Trusutworthiness

    Dr. Songnan Lin

    Research Fellow

    Ph.D. BIT

    B.S. Tsinghua U

    Spatial-Temporal Analysis; Video Reconstruction

    Lanqing Guo

    PhD Candidate

    B.S. Wuhan University

    Machine Learning and Optimization; Deep Learning; Image and Video Processing.

    Hao Cheng

    PhD Candidate

    M.S. Tianjin University

    Graph Neural Networks; Few-Shot Learning; Metric learning.

    Rongkai Zhang

    PhD Candidate

    B.S. BIT

    Deep Reinforcement Learning.

    Google Scholar [ Link ].

    Jiang Zhu

    PhD Candidate

    M.S. USTC

    Deep Learning; Computer Vision; Non-Local Image Modeling; Image Fusion.

    Hong Duc Nguyen

    PhD Candidate

    B.S. Nanyang Tech U

    VinGroup Scholar

    Image and Video Analytics.

    Tian (Iris) Lan

    PhD Candidate

    B.S. University of Illinois UC

    Machine Learning and Optimization; Space Technology; Remote Sensing; Image Processing.

    Ziwang Xu

    PhD Candidate

    B.S. Yao Class (THU)

    Machine Learning; Image Processing

    Chong Wang

    PhD Candidate

    M.S. University of Edinburgh

    Image Processing; Computational Imaging

    Yufei Wang

    PhD Candidate

    B.Eng. UESTC

    Robust Learning and Computer Vision

    Homepage [ Link ].

    Tao Bai

    PhD Candidate (CSE)

    B.S. Wuhan University

    Co-Supervised with Jun Zhao

    Image Forensics, Adversarial Machine Learning.

    Homepage [ Link ].

    Eleanor (Elly) Tennant

    PhD Candidate (ASE)

    M.S. University of Bristol

    Co-Supervised with Susanna Jenkins

    Remote Sensing, Volcanic Analytics

    Google Scholar [ Link ].

    Shuxin Cao

    Research Assistant

    B.S. Nanyang Tech U

    Cloud Intelligence, Federated Learning.

    Joining Georgia Tech for PhD!

    Jiarui Zhang

    Research Assistant

    B.S. Nanyang Tech U

    Machine Learning and Computational Imaging

    Zhiyuan Yang

    M.Eng Student

    B.S. Beijing Institute of Technology

    Video Analytics and Forensics

    Boya Liu

    Research Assistant

    B.S. BUPT

    Machine Learning, Visual Analytics

    Kaiyi Yang

    Research Assistant

    B.S. Nanyang Tech U

    Machine Learning and Computational Imaging.

    Joining UIUC for PhD!

    Zhengyang Su

    Research Associate

    Msc. Nanyang Tech U

    Machine Learning for Signal Processing

  • Alumni

    • Dr. Siyu Huang [ Homepage ]； Research Fellow with us in 2021； Now with [ Harvard University ].

    Dr. Ling Huang； Research Fellow with us in 2020； Now with [ KLA Corporation ].

    Dr. Meng Pang； Research Fellow with us from 2019 to 2022； Now with [ Nanchang U ] as Full Professor.

    Academic Services

  • Technical Committee

    • IEEE Computational Imaging, Technical Committee ( IEEE CI TC ), 2019 - 2023.

  • Regional Technical Committee

    • IEEE Signal Processing (SPS) Singapore Chapter, Committee Board ( IEEE SPS-SG), 2021 - 2022.

    IEEE Circuits and Systems (CAS) Singapore Chapter, Committee Board ( IEEE CAS-SG ), 2022 - 2023.

    Pattern Recognition and Machine Intelligence Association, Committee Board ( PREMIA ), 2021 - 2022.

  • Journal Editorship

    • Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology ( T-CSVT ), 2022 - 2023.

    Guest Editor, IEEE Signal Processing Magazine ( SPM ), 2021 - 2023.

    Guest Editor, MDPI Micromachines , 2019 - 2022.

  • Conference and Workshop Organization

    • TPC Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2022 ).

    Organizer, ICCV 2021 Workshop on Learning for Computational Imaging (LCI) ( LCI 2021 ).

    Organizer, IEEE SPS Winter School ( VISVA 2020 ).

    Organizer, IEEE SPS Wenbinar Series ( SPACE 2020 ).

    Organizer, ICCV 2019 Workshop on Learning for Computational Imaging (LCI) ( LCI 2019 ).

    Session Co-Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2019 ).

  • Conference Area Chair

    • IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2019 - 2022.

    IEEE International Conference on Image Processing ( ICIP ), 2019 - 2021

    IEEE International Conference on Multimedia and Expo ( ICME ), 2021

  • Conference PC / Reviewer

    • Conference on Neural Information Processing Systems ( NeurIPS ), 2019 - 2021

    Conference on Computer Vision and Pattern Recognition ( CVPR ), 2018 - 2021

    International Conference on Computer Vision ( ICCV ), 2019 - 2021

    International Conference on Machine Learning ( ICML ), 2020 - 2021

    European Conference on Computer Vision ( ECCV ), 2020

    International Joint Conferences on Artificial Intelligence ( IJCAI ), 2019 - 2021

    AAAI Conference on Artificial Intelligence ( AAAI ), 2020 - 2021

    IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2020 - 2021

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

    IEEE International Conference on Image Processing ( ICIP ), 2017 - 2021

  • Journal Reviewer

    • 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 )

    IOP Inverse Problems ( IP )