Bihan Wen

Associate Professor (Tenured)

School of Electrical and Electronic Engineering (EEE)

Nanyang Technological University (NTU), Singapore

Director, CISS Centre - Director, Rapid-Rich Object Search Lab (ROSE)

 

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

BE 12', EEE , NTU, Singapore

Email: bihan.wen at ntu.edu.sg

[Faculty Hiring] Email me if you are interested of Faculties (AI, signal processing, computational imaging) opportunities at EEE, NTU.

[Hiring] Some openings of Post-Docs and RAs. Fill out the Form and send me an email. Only qualified ones will be contacted.

2025

[News] Chong Wang and Hong Duc Nguyen passed their PhD defence. Congratulations!

[News] Our PhD Student, Yufei Wang , won the prestigious NTU Graduate Research Excellence Award (Only awardee in STEM) and EEE Best PhD Thesis Award (the only awardee) in 2025. Big Congratulations!

[News] Our RA/PhD student, Shiqi Huang, won the prestigious Nanyang President's Graduate Scholarship (NPGS). Congratulations!

[News] Three (3) group members won the prestigious Chinese National Young Scholar Program (国家级青年人才). Congratulations!

[News] Yufei Wang and Tian Lan passed their PhD defence. Congratulations!

[Event] We will be organizing IEEE VCIP 2026 in Singapore! Stay Tuned

[Event] I am invited to give a talk at Singapore Space Symposium 2025 on 25 Feb. See you there!

[Event] We are organizing NTIRE @ CVPR 2025, The 1st Raindrop Removal Challenge. Call for Participation!

[Event] We will be organizing IEEE ICIP 2027, the flagship conference of SPS, in Singapore! Stay Tuned

[Publication] Four (4) papers are accepted to ICCV 2025, including one Highlight .

[Publication] One paper is accepted to IEEE TPAMI. [ Paper ]: Uncalibrated photometric stereo.

[Publication] One paper is accepted to IEEE TMI. [ Preprint ]: Unsupervised digital staining.

[Publication] One paper is accepted to IEEE TGRS. [ Preprint ].

[Publication] Three (3) papers are accepted to CVPR 2025. To Appear.

[Publication] One paper is accepted to AAAI 2025, [ Preprint ], [ Codes ], Foundation Model for Remote Sensing.

[Publication] One paper is accepted to IEEE TNNLS . [ Paper ]

[Publication] One paper is accepted to IEEE TMM . [ Paper ]

[Publication] One paper is accepted to IEEE TIM . [ Paper ]

[Publication] One paper is accepted to Journal of Hydrology . [ Paper ]

[Publication] Three (3) papers are accepted to ICASSP 2025 .

[Publication] Two (2) papers are accepted to ISCAS 2025 . I am travelling to London.

[Editorial] Editorial to be published by IEEE JSTSP . [ Editorial ]

[Special Issue] Special Issue on AI for Autonomous Driving @ Remote Sensing (Led by Le Zhang). Deadline is September 28, 2025.

[Conference Service] I serve as Area Chair for ICASSP 2025, ICME 2025 , ICIP 2025 and ISCAS 2025 .

[Conference Service] I serve as Area Chair / Senior Program Committee for AAAI 2026 .

[Journal Editorship] I serve as Associate Editor for Journal of Visual Communication and Image Representation (JVCI).

[Award] Winnner of the Young Faculty Award (Runner-Up) by College of Engineering, NTU.

[Promotion] Promoted to Associate Professor (Tenured) by NTU.

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)

     Thesis 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)

     FYP Advisor: Prof. Yilong Lu (Retired from NTU)

 

Preprint

      Laniqng Guo, Chong Wang, Yufei Wang, Siyu Huang, Wenhan Yang, Alex C. Kot, and Bihan Wen, "Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey" [ Preprint ] [ Collection of Awesome Shadow Removal AI ]. First Survey on Deep Image Shadow Removal.

      Zhihao Li, Yufei Wang, Heliang Zheng, Yihao Luo and Bihan Wen, "Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling," [ Preprint ] [ Project Page ] [ Demo ]. Sparc3D - Next-Gen 3D Generation.

      Jiarui Zhang, Zhihao Li, Chong Wang and Bihan Wen, "RF4D: Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes," [ Preprint ] [ Project Page ]. AI for Outdoor 4D Radar Reconstruction.

      Bihan Wen, Yanjun Li, Yuqi Li, and Yoram Bresler, "A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems," [ Preprint ].

2025

      Zijun Lin, Shuting He, Cheston Tan and Bihan Wen, "GroundFlow: A Plug-in Module for Temporal Reasoning on 3D Point Cloud Sequential Grounding," IEEE/CVF International Conference on Computer Vision (ICCV), 2025. 3D Point Cloud Sequential Grounding. [ Preprint ] To Appear.

      Shiqi Huang, Shuting He, Huaiyuan Qin and Bihan Wen, "SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation," IEEE/CVF International Conference on Computer Vision (ICCV), 2025. Foundation Model for OV Remote Sensing. Highlight Paper [ Preprint ] [ Codes ] To Appear.

      Yufei Wang, Lanqing Guo, Zhihao Li, Jiaxing Huang, Pichao WANG, Bihan Wen and Jian Wang, "Training-Free Text-Guided Image Editing with Visual Autoregressive Model," IEEE/CVF International Conference on Computer Vision (ICCV), 2025. [ Preprint ] [ Codes ] VAR for Image Editing.

      Kailai Zhou, Fuqiang Yang, Shixian Wang, Bihan Wen, Chongde Zi, Linsen Chen, Qiu Shen and Xun Cao "M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision," IEEE/CVF International Conference on Computer Vision (ICCV), 2025. Foundation Model for Multispectral Vision. [ Preprint ] [ Codes ]

      Ziwang Xu, Lanqing Guo, Satoshi Tsutsui, Shuyan Zhang, Alex C. Kot and Bihan Wen, "Digital Staining Without Aligned Samples: An Unsupervised Approach via Knowledge Distillation" ​IEEE Transactions on Medical Imaging (TMI). [ Preprint ] [ Paper ] [ Codes ]

      Yakun Ju, Boxin Shi, Bihan Wen, Kin-Man Lam, Xudong Jiang and Alex Kot, "Revisiting One-stage Deep Uncalibrated Photometric Stereo via Fourier Embedding" IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [ Paper ]

      Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan YANG, Hao Cheng, Alex Kot and Bihan Wen, "Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [ Preprint ], [ Codes ].

      Xinrui Wang, Lanqing Guo, Xiyu Wang, Siyu Huang and Bihan Wen, "SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [ Preprint ], [ Codes ].

      Xueyi Ke, Satoshi Tsutsui, Yayun Zhang and Bihan Wen, "Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [ Preprint ], [ Codes ].

      Shiqi Huang, Shuting He and Bihan Wen, "ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation" Annual AAAI Conference on Artificial Intelligence (AAAI) 2025. [ Preprint ], [ Codes ], [ Paper ].

      Haonan Zhang, Longjun Liu, Yi Zhang, Xinyu Lei and Bihan Wen "DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance", IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
[ Paper ]

      Gaosheng Liu, Huanjing Yue, Bihan Wen and Jingyu Yang "Learned Focused Plenoptic Image Compression with Local-Global Correlation Learning", IEEE Transactions on Multimedia (TMM). [ Paper ]

      Tao Bai, Xingjian Tian, Yonghao Xu and Bihan Wen "On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing", IEEE Transactions on Geoscience and Remote Sensing (TGRS). [ Preprint ]

      Hong Duc Nguyen, Deruo Cheng, Xinrui Wang, Yiqiong Shi and Bihan Wen, "Data-Efficient Deep Learning for Printed Circuit Board Defect Detection Using X-Ray Images" IEEE Transactions on Instrumentation & Measurement (TIM). [ Paper ]

      Liaoliao Wei, Caroline Livan Anyi, Huakun Li, Haitao Nie, Bihan Wen and Tong Ling, "Fast 3D localization of nano-objects in wide-field interferometric scattering microscopy via vectorial diffraction model-derived analytical fitting", NJP Nanophotonics. [ Paper ]

      Van Kwan Zhi Koh, Ye Li, Xing Yong Kek, Ehsan Shafiee, Zhiping Lin and Bihan Wen, "A review of recent hybridized machine learning methodologies for time series forecasting on water-related variables", Journal of Hydrology.
[ Paper ]

      Wenjie Xu, Meichen Liu and Bihan Wen, "Low-Rank Transformer Adaptation for ArbitraryStyle Transfer," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025. [ Paper ]

      Ye Ma, Songnan Lin and Bihan Wen, "Hyperspectral Image Reconstruction with Unseen Material Detection," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025. [ Paper ]

      Yuhao Mo, Po Peng, Bihan Wen, Xulei Yang, Ce Zhu and Xun Xu, "Distribution Alignment Informed Thresholding for Semi-Supervised Curvilinear Structure Segmentation," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025. [ Paper ]

      Van Kwan Zhi Koh, Ye Li, Ehsan Shafie, Zhiping Lin and Bihan Wen, "Harnessing Forecast Uncertainty in Deep Learning for Time Series Anomaly Detection with Posterior Distribution Scoring", IEEE International Symposium on Circuits and Systems (ISCAS) 2025. [ Paper ]

      Hongjun Sheng, Xinggan Peng, Van Kwan Zhi Koh, Bihan Wen and Zhiping Lin, "TWavefussion: Wavelet-based Diffusion with Transformer for Multivariate Time Series Anomaly Detection", IEEE International Symposium on Circuits and Systems (ISCAS) 2025. [ Paper ]

      Yi Ma, Yuejie Chi, Ivan Dokmanic, Bihan Wen, John N. Wright and Zhihui Zhu, "Introduction to the Special Issue Seeking Low-dimensionality in Deep Neural Networks (Editorial)", IEEE Journal of Selected Topics in Signal Processing (JSTSP). [ Editorial ]

2024

      Zhihao Li, Yufei Wang, Alex Kot and Bihan Wen, "From Chaos to Clarity: 3DGS in the Dark," Conference on Neural Information Processing Systems (NeurIPS) 2024. [ Preprint ], [ Codes ], [ Paper ].

      Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex Kot and Bihan Wen, "ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model," Conference on Neural Information Processing Systems (NeurIPS) 2024. [ Preprint ], [ Codes ], [ Paper ].

      Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen and Alex C Kot, "Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models," ACM International Conference on Multimedia (ACM MM), 2024. Oral Presentation [ Preprint ] [ Paper ].

      Meichen Liu, Shuting He, Songnan Lin and Bihan Wen, "Dual-head Genre-instance Transformer Network for Arbitrary Style Transfer," ACM International Conference on Multimedia (ACM MM), 2024. [ Paper ]

      Heng Zhao, Zhao Yinjie, Bihan Wen Yew-Soon Ong and Joey Tianyi Zhou, "Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding," Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. [ Preprint ] [ Paper ].

      Zhihao Li, Yufei Wang, Alex Kot and Bihan Wen, "Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach," International Conference on Machine Learning (ICML), 2024. [ Paper ] [ Codes ]

      Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex Kot and Bihan Wen, "SinSR: Diffusion-Based Image Super-Resolution in a Single Step," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ Preprint ], [ Codes ] [ Paper ].

      Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu and Bihan Wen, "Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Highlight Paper, 2024. [ Preprint ], [ Codes ] [ Paper ]

      Haonan Zhang, Longjun Liu, Yuqi Huang, YangZhao, Xinyu Lei and Bihan Wen, "CaKDP: Category-Aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [ Codes ], [ Paper ].

      Songnan Lin, Ye Ma, Jing Chen and Bihan Wen, "Compressed Event Sensing (CES) Volumes for Event Cameras," International Journal of Computer Vision (IJCV), 2024. [ Paper ].

      Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot and Bihan Wen, "Beyond Learned Metadata-based Raw Image Reconstruction," International Journal of Computer Vision (IJCV), 2024. [ Codes ] [ Paper ].

      Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan and Bihan Wen, "Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation," European Conference on Computer Vision (ECCV), 2024. [ Preprint ], [ Paper ], [ Project Page ], [ Codes ].

      Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex Kot and Bihan Wen, "STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning," European Conference on Computer Vision (ECCV), 2024. [ Paper ]

      Zixuan Fu, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li and Bihan Wen, "Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers," European Conference on Computer Vision (ECCV), 2024. [ Preprint ], [ Paper ], [ Codes ].

      Shuting He, Henghui Ding, Xudong Jiang and Bihan Wen, "SegPoint: Segment Any Point Cloud via Large Language Model," European Conference on Computer Vision (ECCV), 2024. [ Preprint ], [ Paper ], [ Project Page ]

      Kailai Zhou, Lijing Cai, Yibo Wang, Mengya Zhang, Bihan Wen, Qiu Shen and Xun Cao, "Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography," European Conference on Computer Vision (ECCV), 2024. [ Preprint ], [ Paper ], [ Codes ].

      Winnie Pang, Xueyi Ke, Satoshi Tsutsui and Bihan Wen, "Integrating Clinical Knowledge into Concept Bottleneck Models," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. [ Preprint ], [ Paper ], [ Codes ].

      Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yintao Zhou, Wei Huang and Bihan Wen, "Heterogeneous Prototype Learning from Contaminated Faces across Domains via Disentangling Latent Factors", IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Paper ]

      Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou and Ce Zhu "Structured Residual Sparsity for Video Compressive Sensing Reconstruction", Signal Processing. [ Paper ] [ Codes ]

      Tao Bai, Yiming Cao, Yonghao Xu and Bihan Wen, "Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing", IEEE Transactions on Geoscience and Remote Sensing (TGRS). [ Paper ]

      Haonan Zhang, Longjun Liu, Yuqi Huang, Xinyu Lei, Lei Tong and Bihan Wen, "InstKD: Towards Lightweight 3D Object Detection with Instance-aware Knowledge Distillation", IEEE Transactions on Intelligent Vehicles (TIV). [ Paper ] [ Codes ].

      Eleanor Tennant, Susanna F Jenkins, Victoria Miller, Richard Robertson, Bihan Wen, Sang-Ho Yun and Benoit Taisne, "Automating tephra fall building damage assessment using deep learning," Natural Hazards and Earth System Sciences (NHESS). [ Preprint ]. To appear.

      Jiang Zhu, Van Kwan Zhi Koh, Zhiping Lin and Bihan Wen, "TM-GAN: A Transformer-based Multi-modal Generative Adversarial Network for Guided Depth Image Super-resolution", IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). [ Paper ]

      Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha and Bihan Wen, "Faster Nonconvex Low-rank Matrix Learning for Image Low-level and High-level Vision: A Unified Framework", Information Fusion. [ Paper ], [ Codes ].

      Yuanyuan Qing, Tao Bai, Zhuotao Liu, Pierre Moulin and Bihan Wen, "Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations", IEEE Transactions on Information Forensics and Security (TIFS). [ Paper ]

      Lanqing Guo, Siyu Huang, Haosen Liu and Bihan Wen, "Towards Robust Image Denoising via Flow-based Joint Image and Noise Model", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Preprint ] [ Paper ].

      Meichen Liu, Songnan Lin, Hengmin Zhang, Zhiyuan Zha and Bihan Wen, "Intrinsic-Style Distribution Matching for Arbitrary Style Transfer", Knowledge-Based Systems. [ Paper ].

      Tian Lan, Shuting He, Yuanyuan Qing and Bihan Wen, "Leveraging Mixed Data Sources for Enhanced Road Segmentation in SAR Images", Remote Sensing. [ Paper ].

      Yuanlun Xie, Wenhong Tian, Liang Song, Ruini Xue, Zhiyuan Zha and Bihan Wen, "A joint learning method with consistency-aware for low-resolution facial expression recognition", Expert Systems with Applications. [ Paper ].

      Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du and Bihan Wen, "Enhancing generalized spectral clustering with embedding Laplacian graph regularization", CAAI Transactions on Intelligence Technology. [ Paper ], [ Codes ].

      Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay and Bihan Wen, "Spectral Convergence of Simplicial Complex Signals", IEEE International Symposium on Information Theory (ISIT), 2024. [ Preprint ].

      Chong Wang, Yi Yu, Lanqing Guo, and Bihan Wen, "Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [ Preprint ] [ Paper ].

      Jiang Zhu, Yuanyuan Qing, Zhiping Lin, and Bihan Wen, "Fusing EO and LiDAR for SAR Image Translation with Multi-Modal Generative Adversarial Networks", IEEE International Symposium on Circuits and Systems (ISCAS), 2024. [ Paper ]

      Jiarui Zhang, Songnan Lin, Weixian Liu, and Bihan Wen, "Learning-Based Human Detection via Radar for Dynamic and Cluttered Indoor Environments", IEEE International Symposium on Circuits and Systems (ISCAS), 2024. [ Paper ]

2023

      S. Tsutsui, W. Pang and B. Wen, "WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes," Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023. [ Preprint ] [ WBCAtt Dataset ]

      L. Guo, C. Wang, W. Yang, Y. Wang and B. Wen, "Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal," IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [ Paper ]

      H. Cheng, S. Yang, T. Zhou, L. Guo and B. Wen, "Frequency Guidance Matters in Few-Shot Learning," IEEE/CVF International Conference on Computer Vision (ICCV) Oral Paper, 2023. [ Paper ]

      Y. Wang, Y. Yu, W. Yang, L. Guo, L.-P. Chau, A. Kot and B. Wen, "ExposureDiffusion: Learning to Expose for Low-light Image Enhancement," IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [ Arxiv:2307.07710 ] [ Paper ] [ Codes ].

      L. Guo, C. Wang, W. Yang, S. Huang, Y. Wang, H. Pfister and B. Wen, "ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Preprint ] [ Paper ] [ Codes ].

      Y. Wang, Y. Yu, W. Yang, L. Guo, L-P. Chau, A-C. Kot and B. Wen, "Raw Image Reconstruction with Learned Compact Metadata," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Preprint ] [ Paper ] [ Codes ]

      Z. Fu, L. Guo and B. Wen, "sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [ Paper ] [ Codes ].

      Y. Zhu, K. Zhang, J. Liang, J. Cao, B. Wen, R. Timofte and L. V. Gool, "Denoising Diffusion Models for Plug-and-Play Image Restoration," IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023. [ Paper ] [ Codes ].

      Y. Liu, K. Li, Z. Liu, B. Wen, K. Xu, W. Wang, W. Zhao and Q. Li, "Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification", International World Wide Web Conferences (WWW), 2023. [ Paper ]

      L. Guo, S. Huang, D. Liu, H. Cheng and B. Wen, "ShadowFormer: Global Context Helps Shadow Removal", AAAI Conference on Artificial Intelligence (AAAI), 2023. [ Preprint ] [ Paper ] [ Codes ].

      H. Zhang, J. Yang, J. Qian, G. Gao, X. Lan, Z. Zha and B. Wen, "Efficient Image Classification via Structured Low-rank Matrix Factorization Regression", IEEE Transactions on Information Forensics & Security (TIFS). [ Paper ].

      X. Chen, W. Xia, Z. Yang, H. Chen, Y. Liu, J. Zhou, Z. Wang, Y. Chen, B. Wen and Y. Zhang, "SOUL-Net: A sparse and low-rank unrolling network for spectral ct image reconstruction", IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Paper ] [ Codes ]

      K. Jing, X. Zhang, C. Zhang, W. Lin, H. Ma, M. Pang and B. Wen, "Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition", IEEE Transactions on Information Forensics & Security (TIFS). [ Paper ]

      H. Zhang, B. Wen, Z. Zha, B. Zhang, Y. Tang, G. Yu and W. Du, "Accelerated PALM for Nonconvex Low-rank Matrix Recovery with Theoretical Analysis", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Paper ] [ Codes ]

      Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, Y. Lu and C. Zhu, "Non-Local Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising", IEEE Transactions on Geoscience and Remote Sensing (TGRS). [ Paper ] [ Codes ]

      H. Zhang, S. Li, J. Qiu, Y. Tang, J. wen, Z. Zha and B. Wen, "Efficient and Effective Low-rank Structural Clustering without the SVT Operators", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Paper ]

      Y. Qing, J. Zhu, H. Feng, W. Liu and B. Wen, "Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs", Remote Sensing. [ Paper ] [ Codes ] [ Dataset ].

      Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, X. Jiang and C. Zhu, "Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction", IEEE Transactions on Cybernetics (TCYB). [ Paper ].

      L. Guo, R. Wang, W. Yang, Alex Kot and B. Wen, "Cross-Image Disentanglement for Low-Light Enhancement in Real World," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. To Appear. [ Preprint ] [ Paper ].

      L. Guo, Y. Lin, J. Li and B. Wen, "Exploiting the Illumination Knowledge in Real World for Low-Light Image Enhancement," IEEE MultiMedia (MM), 2023. [ Dataset ] [ Paper ]

      H. Cheng, Y. Wang, H. Li, A-C. Kot and B. Wen, "Disentangled Feature Representation for Few-shot Image Classification," IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [ Arxiv:2109.12548 ] [ Codes ] [ Paper ].

      Z. Zha, B. Wen, X. Yuan, S. Ravishankar, J. Zhou and C. Zhu, "Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing", IEEE Signal Processing Magazine (SPM). (A survey including a summary of our past 7-year works on non-local image modeling and reconstruction). [ Preprint ] [ Paper ] [ Demo Codes ].

      B. Wen, S. Ravishankar, Z. Zhao, R. Giryes and J. C. Ye, "Physics-Driven Machine Learning for Computational Imaging, Part-II, Editorial", IEEE Signal Processing Magazine (SPM). [ Editorial ].

      B. Wen, S. Ravishankar, Z. Zhao, R. Giryes and J. C. Ye, "Physics-Driven Machine Learning for Computational Imaging, Part-I, Editorial", IEEE Signal Processing Magazine (SPM). [ Editorial ].

      T. Bai, J. Zhao and B. Wen, "Guided Adversarial Contrastive Distillation for Robust Students", IEEE Transactions on Information Forensics & Security (TIFS). [ Paper ].

      H. Cheng, T. Zhou, W-P. Tay and B. Wen, "Graph Neural Networks With Triple Attention For Few-Shot Learning", IEEE Transactions on Multimedia (TMM). [ Paper ] [ Codes ].

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

      S. Tian, Y. Wang, R. Wan, W. Yang, A. Kot and B. Wen, "Enhancing Low-Light Images Using Infrared-Encoded Images," IEEE International Conference on Image Processing (ICIP) 2023. [ Preprint ] [ Paper ] [ Codes ] [ Datasets ].

      Y. Wang, L-P. Chau, A-C. Kot and B. Wen, "Removing Image Artifacts from Scratched Lens Protectors", IEEE International Symposium on Circuits and Systems (ISCAS), 2023. [ Preprint ] [ Codes and Dataset ].

      C. Wang, R. Zhang, G. Maliakal, S. Ravishankar and B. Wen, "Deep Reinforcement Learning based Unrolling Network for MRI Reconstruction", IEEE International Symposium on Biomedical Imaging (ISBI), 2023. [ Paper ]

      Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, "Hyperspectral Image Denoising via Nonlocal Rank Residual Modeling", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Paper ]

      Z. Xu, L. Guo, S. Zhang, A. Kot and B. Wen, "Unsupervised Deep Virtual Staining for Microscopic Cell Images via Knowledge Distillation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Preprint ] [ Paper ]

      S. Tsutsui, Z. Su and B. Wen, "Benchmarking White Blood Cell Classification Under Domain Shift", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Preprint ] [ Paper ]

      T. Bai, C. Chen, L. Lyu, J. Zhao and B. Wen, "Towards Adversarially Robust Continual Learning", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [ Preprint ] [ Paper ]

      L. Chen, Y. Bai, S. Huang, Y. Liu, B. Wen, A. Yuille and Z. Zhou "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning", Medical Imaging with Deep Learning (MIDL), 2023. [ Preprint ] [ Paper ] [ Codes ].

      V. Koh, X. Li, Z. Lin, Y. Li, E. Shafiee, and B. Wen, "Deterministic to Probabilistic Time Series Forecasting by Recurrent Neural Network with Variational Residual Boosting", IEEE Conference on Industrial Electronics and Applications (ICIEA 2023), 2023. [ Best Paper Award ] [ Paper ].

      Z. Yang, L. Chau and B. Wen, "No Matter Small or Big Lip Motion: DeepFake Detection with Regularized Feature Learning on Semantic Information", International Conference on Multimedia Information Processing and Retrieval (MIPR 2023), 2023. [ Best Paper Award ] [ Paper ].

2022

      R. Wan, B. Shi, W. Yang, B. Wen, L. Duan, A. Kot, "Purifying Low-light Images via Near-Infrared Enlightened Image" IEEE Transactions on Multimedia (TMM). [ Paper ].

      T. Bai, H. Wang and B. Wen, "Targeted Universal Adversarial Examples for Remote Sensing," Remote Sensing. [ Paper ]

      Y. Xu, X. Wang, H. Zhou, Y. Hou, B. Wen, L. Zhang, R. Yan and X. Chen, "Real-time terahertz characterization for composite delamination using a lightweight CPU adaptive network" Composites Part B: Engineering. [ Paper ].

      R. Zhang, C. Zhang, Z. Cao, S. Wen, P. Tan, J. Zhang, B. Wen and J. Dauwels, "Learning to Solve Multiple-TSP with Time Window and Rejection via Deep Reinforcement Learning," IEEE Transactions on Intelligent Transportation Systems (TITS). [ Preprint ] [ Paper ] [ Codes ].

      Y. Wang, H. Li, H. Cheng, B. Wen, L-P. Chau and A. Kot, "Variational Disentanglement for Domain Generalization," Transactions on Machine Learning Research (TMLR), [ Paper ].

      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). [ Paper ] [ Codes ].

      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 ] [ Codes ].

      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 ] [ Paper ] [ Supp ].

      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 ] [ Project Page ] [ Paper ] [ Supp ] 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. [ Arxiv:2207.12056 ].

      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 ], [ Codes ].

      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 ], [ Paper ] [ Best Paper Finalist ].

      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 ], [ Paper ].

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 ]

 

Technical Committee

IEEE CASS Visual Signal Processing and Communications (VSPC) TC , Elected Member, 2023 - Present.

IEEE SPS Computational Imaging (CI) TC , Elected Subcommittee Chair, 2019 - 2024.

Regional Technical Committee

IEEE Signal Processing (SPS) Singapore Chapter, Committee Board ( IEEE SPS-SG), Treasurer, 2021 - Present.

IEEE Aerospace / Remote Sensing Joint Singapore Chapter, Committee Board ( IEEE AES/GRS), 2023 - Present.

Pattern Recognition and Machine Intelligence Association, Committee Board ( PREMIA ), 2021 - 2023.

Journal Editorship

Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology ( T-CSVT ), 2022 - 2025.

Associate Editor, Journal of Visual Communication and Image Representation ( JVCI ), 2025 - 2027.

Guest Editor, IEEE Journal of Selected Topics in Signal Processing ( JSTSP ), 2023 - 2025.

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

Guest Editor, Remote Sensing , 2023 - 2024.

Guest Editor, Computer Vision and Image Understanding ( CVIU ), 2024 - 2025.

Conference and Workshop Organization

IEEE SPS Liaison Chair, IEEE International Conference on Image Processing ( ICIP 2027 ).

TPC Chair, IEEE Visual Communications and Image Processing Conference ( VCIP 2026 ).

TPC Chair, IEEE International Conference on Control, Automation, Robotics and Vision ( ICARCV 2024 ).

Publication Chair, IEEE International Conference on Multimedia Information Processing and Retrieval ( MIPR 2023 ).

Publicity Chair, IEEE International Conference on Artificial Intelligence ( CAI 2023 ).

Publicity Chair, IEEE International Conference on Control, Automation, Robotics and Vision ( ICARCV 2022 ).

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 Webinar Series ( SPACE 2020 ).

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

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

Conference Area Chair / Senior PC

IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP ), 2019 - 2024.

IEEE International Conference on Image Processing ( ICIP ), 2019-2024

IEEE International Conference on Multimedia and Expo ( ICME ), 2021-2024

AAAI Conference on Artificial Intelligence ( AAAI ), 2023-2024

Conference PC / Reviewer

Conference on Neural Information Processing Systems ( NeurIPS ), 2019 - 2022

Conference on Computer Vision and Pattern Recognition ( CVPR ), 2018 - 2024

International Conference on Computer Vision ( ICCV ), 2019 - 2023

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

European Conference on Computer Vision ( ECCV ), 2022 - 2024

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

Nature Machine Intelligence ( Nature MI )

IEEE Transactions on Pattern Analysis and Machine Intelligence ( TPAMI )

Springer International Journal of Computer Vision ( IJCV )

IEEE Transactions on Image Processing ( TIP )

IEEE Transactions on Signal Processing ( TSP )

IEEE Transactions on Cybernetics ( TCYB )

IEEE Transactions on Multimedia ( TMM )

IEEE Transactions on Computational Imaging ( TCI )

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 Journal of Selected Topics in Signal Processing ( JSTSP )

IEEE Signal Processing Magazine ( SPM )

SIAM Journal on Imaging Sciences ( SIIMS )

Medical Image Analysis ( MIA )