Y. Li, B. Wen, H. Cheng, and Y. Bresler, "Joint Dimensionality Reduction for Separable Embedding Estimation," [ Arxiv:2101.05500 ].
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 ].
2023
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. To Appear.
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), 2023. To Appear.
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 ] To Appear.
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 ].
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 ]
H Yue, J Guo, X Yin, Y Zhang, B. Wen and C Li, "Salient Object Detection Towards Single-pixel Imaging", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). [ Paper ]
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 ].
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 ].
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 ]
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 ] To Appear.
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 ]
