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 ].
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, 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 ] [ 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 ]
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. To Appear.
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. To Appear.
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 ] [ 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 ]
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 ]
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 ].
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 ].
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 ].
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. To Appear.
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. To Appear.
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 ]
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 ]
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 ].
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 ]
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 ] 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 ], [ 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 ]
