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2020 – today
- 2024
[j54]Jiang Zhu
, Van Kwan Zhi Koh, Zhiping Lin, Bihan Wen:
TM-GAN: A Transformer-Based Multi-Modal Generative Adversarial Network for Guided Depth Image Super-Resolution. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(2): 261-274 (2024)- [j53]Yuanlun Xie, Wenhong Tian, Liang Song, Ruini Xue, Zhiyuan Zha, Bihan Wen:
A joint learning method with consistency-aware for low-resolution facial expression recognition. Expert Syst. Appl. 244: 123022 (2024) - [j52]Lanqing Guo, Yuxin Lin, Jian Li, Bihan Wen:
Exploiting Illumination Knowledge in the Real World for Low-Light Image Enhancement. IEEE Multim. 31(1): 33-41 (2024) - [j51]Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024) - [j50]Meichen Liu, Songnan Lin, Hengmin Zhang, Zhiyuan Zha, Bihan Wen:
Intrinsic-style distribution matching for arbitrary style transfer. Knowl. Based Syst. 296: 111898 (2024) - [j49]Tian Lan, Shuting He, Yuanyuan Qing, Bihan Wen:
Leveraging Mixed Data Sources for Enhanced Road Segmentation in Synthetic Aperture Radar Images. Remote. Sens. 16(16): 3024 (2024) - [j48]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
Structured residual sparsity for video compressive sensing reconstruction. Signal Process. 222: 109513 (2024) - [j47]Huihui Yue, Jichang Guo, Xiangjun Yin, Yi Zhang, Bihan Wen, Chongyi Li:
Salient Object Detection Toward Single-Pixel Imaging. IEEE Trans. Circuits Syst. Video Technol. 34(1): 235-247 (2024) - [j46]Hengmin Zhang, Bihan Wen, Zhiyuan Zha, Bob Zhang, Yang Tang, Guo Yu, Wenli Du:
Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2304-2317 (2024) - [j45]Lanqing Guo, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen:
Cross-Image Disentanglement for Low-Light Enhancement in Real World. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2550-2563 (2024) - [j44]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Xudong Jiang, Ce Zhu:
Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction. IEEE Trans. Cybern. 54(5): 3338-3351 (2024) - [j43]Tao Bai, Yiming Cao, Yonghao Xu, Bihan Wen:
Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j42]Hengmin Zhang, Jian Yang, Jianjun Qian, Guangwei Gao, Xiangyuan Lan, Zhiyuan Zha, Bihan Wen:
Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression. IEEE Trans. Inf. Forensics Secur. 19: 1496-1509 (2024) - [j41]Yuanyuan Qing, Tao Bai, Zhuotao Liu, Pierre Moulin, Bihan Wen:
Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations. IEEE Trans. Inf. Forensics Secur. 19: 2814-2825 (2024) - [j40]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2109-2123 (2024) - [j39]Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen:
Disentangled Feature Representation for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10422-10435 (2024) - [c76]Haonan Zhang, Longjun Liu, Yuqi Huang, Zhao Yang, Xinyu Lei, Bihan Wen:
CaKDP: Category-Aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection. CVPR 2024: 15331-15341 - [c75]Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen:
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI. CVPR 2024: 25128-25137 - [c74]Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen:
SinSR: Diffusion-Based Image Super-Resolution in a Single Step. CVPR 2024: 25796-25805 - [c73]Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen:
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation. ECCV (36) 2024: 39-55 - [c72]Shuting He, Henghui Ding, Xudong Jiang, Bihan Wen:
[inline-graphic not available: see fulltext] SegPoint: Segment Any Point Cloud via Large Language Model. ECCV (22) 2024: 349-367 - [c71]Chong Wang, Yi Yu, Lanqing Guo, Bihan Wen:
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-Adaptive Attacks. ICASSP 2024: 13126-13130 - [c70]Zhihao Li, Yufei Wang, Alex C. Kot, Bihan Wen:
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach. ICML 2024 - [c69]Jiarui Zhang, Songnan Lin, Hao Cheng, Weixian Liu, Bihan Wen:
Learning-Based Human Detection via Radar for Dynamic and Cluttered Indoor Environments. ISCAS 2024: 1-5 - [c68]Jiang Zhu, Yuanyuan Qing, Zhiping Lin, Bihan Wen:
Fusing EO and LiDAR for SAR Image Translation with Multi-Modal Generative Adversarial Networks. ISCAS 2024: 1-5 - [c67]Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen:
Spectral Convergence of Simplicial Complex Signals. ISIT 2024: 3468-3473 - [c66]Winnie Pang, Xueyi Ke, Satoshi Tsutsui, Bihan Wen:
Integrating Clinical Knowledge into Concept Bottleneck Models. MICCAI (4) 2024: 243-253 - [c65]Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen, Alex C. Kot:
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models. ACM Multimedia 2024: 3751-3760 - [c64]Meichen Liu, Shuting He, Songnan Lin, Bihan Wen:
Dual-head Genre-instance Transformer Network for Arbitrary Style Transfer. ACM Multimedia 2024: 6024-6032 - [i64]Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen:
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation. CoRR abs/2402.10491 (2024) - [i63]Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen:
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI. CoRR abs/2403.10064 (2024) - [i62]Chong Wang, Yi Yu, Lanqing Guo, Bihan Wen:
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks. CoRR abs/2403.10076 (2024) - [i61]Deng Li, Xin Liu, Bohao Xing, Baiqiang Xia, Yuan Zong, Bihan Wen, Heikki Kälviäinen:
EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model. CoRR abs/2405.00574 (2024) - [i60]Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen, Alex C. Kot:
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models. CoRR abs/2405.11852 (2024) - [i59]Honghao Fu, Yufei Wang, Wenhan Yang, Bihan Wen:
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild. CoRR abs/2405.19996 (2024) - [i58]Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex C. Kot, Bihan Wen:
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model. CoRR abs/2405.20721 (2024) - [i57]Zhihao Li, Yufei Wang, Alex C. Kot, Bihan Wen:
From Chaos to Clarity: 3DGS in the Dark. CoRR abs/2406.08300 (2024) - [i56]Winnie Pang, Xueyi Ke, Satoshi Tsutsui, Bihan Wen:
Integrating Clinical Knowledge into Concept Bottleneck Models. CoRR abs/2407.06600 (2024) - [i55]Lanqing Guo, Chong Wang, Yufei Wang, Siyu Huang, Wenhan Yang, Alex C. Kot, Bihan Wen:
Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey. CoRR abs/2407.08865 (2024) - [i54]Shuting He, Henghui Ding, Xudong Jiang, Bihan Wen:
SegPoint: Segment Any Point Cloud via Large Language Model. CoRR abs/2407.13761 (2024) - [i53]Kailai Zhou, Lijing Cai, Yibo Wang, Mengya Zhang, Bihan Wen, Qiu Shen, Xun Cao:
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography. CoRR abs/2407.17996 (2024) - [i52]Xinrui Wang, Lanqing Guo, Xiyu Wang, Siyu Huang, Bihan Wen:
SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow Removal. CoRR abs/2409.07041 (2024) - [i51]Zixuan Fu, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li, Bihan Wen:
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers. CoRR abs/2409.11256 (2024) - 2023
- [j38]Hao Cheng, Kim-Hui Yap, Bihan Wen:
Reconciliation of statistical and spatial sparsity for robust visual classification. Neurocomputing 529: 140-151 (2023) - [j37]Yuanyuan Qing, Jiang Zhu, Hongchuan Feng, Weixian Liu, Bihan Wen:
Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs. Remote. Sens. 15(7): 1878 (2023) - [j36]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. 40(1): 28-30 (2023) - [j35]Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou, Ce Zhu:
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling. IEEE Signal Process. Mag. 40(1): 32-44 (2023) - [j34]Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye:
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 40(2): 13-15 (2023) - [j33]Hengmin Zhang, Shuyi Li, Jing Qiu, Yang Tang, Jie Wen, Zhiyuan Zha, Bihan Wen:
Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7515-7529 (2023) - [j32]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Yilong Lu, Ce Zhu:
Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j31]Kunlei Jing, Xinman Zhang, Chen Zhang, Wanyu Lin, Hebo Ma, Meng Pang, Bihan Wen:
Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition. IEEE Trans. Inf. Forensics Secur. 18: 5431-5446 (2023) - [j30]Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels:
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(1): 1325-1336 (2023) - [j29]Zerui Shao, Yifei Pu, Jiliu Zhou, Bihan Wen, Yi Zhang:
Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling on-the-Fly for Moving Object Detection. IEEE Trans. Multim. 25: 112-125 (2023) - [j28]Renjie Wan, Boxin Shi, Wenhan Yang, Bihan Wen, Ling-Yu Duan, Alex C. Kot:
Purifying Low-Light Images via Near-Infrared Enlightened Image. IEEE Trans. Multim. 25: 8006-8019 (2023) - [j27]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Graph Neural Networks With Triple Attention for Few-Shot Learning. IEEE Trans. Multim. 25: 8225-8239 (2023) - [j26]Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. 34(2): 867-881 (2023) - [j25]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex ChiChung Kot:
Low-Rankness Guided Group Sparse Representation for Image Restoration. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7593-7607 (2023) - [c63]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Shadow Removal. AAAI 2023: 710-718 - [c62]Deruo Cheng, Yiqiong Shi, Yee-Yang Tee, Jingsi Song, Xue Wang, Bihan Wen, Bah-Hwee Gwee:
Deep-learning-based X-ray CT Slice Analysis for Layout Verification in Printed Circuit Boards. AICAS 2023: 1-5 - [c61]Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops 2023: 1219-1229 - [c60]Zixuan Fu, Lanqing Guo, Bihan Wen:
sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model. CVPR 2023: 1683-1691 - [c59]Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen:
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal. CVPR 2023: 14049-14058 - [c58]Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen:
Raw Image Reconstruction with Learned Compact Metadata. CVPR 2023: 18206-18215 - [c57]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. ICASSP 2023: 1-5 - [c56]Satoshi Tsutsui, Zhengyang Su, Bihan Wen:
Benchmarking White Blood Cell Classification under Domain Shift. ICASSP 2023: 1-5 - [c55]Ziwang Xu, Lanqing Guo, Shuyan Zhang, Alex C. Kot, Bihan Wen:
Unsupervised Deep Digital Staining for Microscopic Cell Images via Knowledge Distillation. ICASSP 2023: 1-5 - [c54]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling. ICASSP 2023: 1-5 - [c53]Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen:
Frequency Guidance Matters in Few-Shot Learning. ICCV 2023: 11780-11790 - [c52]Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen:
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement. ICCV 2023: 12404-12414 - [c51]Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen:
Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal. ICCV 2023: 12999-13008 - [c50]Shulin Tian, Yufei Wang, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen:
Enhancing Low-Light Images Using Infrared Encoded Images. ICIP 2023: 465-469 - [c49]Chong Wang, Rongkai Zhang, Gabriel Maliakal, Saiprasad Ravishankar, Bihan Wen:
Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. ISBI 2023: 1-5 - [c48]Yufei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-Pui Chau, Alex C. Kot:
Removing Image Artifacts From Scratched Lens Protectors. ISCAS 2023: 1-5 - [c47]Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou:
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. MIDL 2023: 496-525 - [c46]Zhiyuan Yang, Lap-Pui Chau, Bihan Wen:
No Matter Small or Big Lip Motion: DeepFake Detection with Regularized Feature Learning on Semantic Information. MIPR 2023: 1-6 - [c45]Satoshi Tsutsui, Winnie Pang, Bihan Wen:
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes. NeurIPS 2023 - [c44]Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li:
Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. WWW 2023: 1980-1990 - [i50]Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Image Shadow Removal. CoRR abs/2302.01650 (2023) - [i49]Yufei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-Pui Chau, Alex C. Kot:
Removing Image Artifacts From Scratched Lens Protectors. CoRR abs/2302.05746 (2023) - [i48]Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen:
Raw Image Reconstruction with Learned Compact Metadata. CoRR abs/2302.12995 (2023) - [i47]Satoshi Tsutsui, Zhengyang Su, Bihan Wen:
Benchmarking White Blood Cell Classification Under Domain Shift. CoRR abs/2303.01777 (2023) - [i46]Ziwang Xu, Lanqing Guo, Shuyan Zhang, Alex C. Kot, Bihan Wen:
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation. CoRR abs/2303.02057 (2023) - [i45]Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen:
Towards Adversarially Robust Continual Learning. CoRR abs/2303.17764 (2023) - [i44]Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR abs/2305.08995 (2023) - [i43]Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen:
Beyond Learned Metadata-based Raw Image Reconstruction. CoRR abs/2306.12058 (2023) - [i42]Satoshi Tsutsui, Winnie Pang, Bihan Wen:
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes. CoRR abs/2306.13531 (2023) - [i41]Shulin Tian, Yufei Wang, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen:
Enhancing Low-Light Images Using Infrared-Encoded Images. CoRR abs/2307.04122 (2023) - [i40]Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen:
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement. CoRR abs/2307.07710 (2023) - [i39]Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen:
Frequency Convergence of Complexon Shift Operators (Extended Version). CoRR abs/2309.07169 (2023) - [i38]Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen:
SinSR: Diffusion-Based Image Super-Resolution in a Single Step. CoRR abs/2311.14760 (2023) - 2022
- [j24]Tian Lan, Hao Cheng, Yi Wang, Bihan Wen:
Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore. Remote. Sens. 14(15): 3579 (2022) - [j23]Tao Bai, Hao Wang, Bihan Wen:
Targeted Universal Adversarial Examples for Remote Sensing. Remote. Sens. 14(22): 5833 (2022) - [j22]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Ce Zhu:
Nonconvex Structural Sparsity Residual Constraint for Image Restoration. IEEE Trans. Cybern. 52(11): 12440-12453 (2022) - [j21]Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao, Haoyu Wang, Xusheng Xiao, Bihan Wen, Qi Li, Yih-Chun Hu:
Make Web3.0 Connected. IEEE Trans. Dependable Secur. Comput. 19(5): 2965-2981 (2022) - [j20]Meng Pang, Binghui Wang, Siyu Huang, Yiu-Ming Cheung, Bihan Wen:
A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Trans. Inf. Forensics Secur. 17: 1544-1557 (2022) - [j19]Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen:
Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration. IEEE Trans. Image Process. 31: 1311-1324 (2022) - [j18]Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Zhiyuan Zha, Bihan Wen, Yi Zhang:
FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction. IEEE Trans. Medical Imaging 41(8): 2144-2156 (2022) - [j17]Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex C. Kot:
Variational Disentanglement for Domain Generalization. Trans. Mach. Learn. Res. 2022 (2022) - [j16]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex ChiChung Kot:
A Hybrid Structural Sparsification Error Model for Image Restoration. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4451-4465 (2022) - [c43]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. ECCV (35) 2022: 405-421 - [c42]Songnan Lin, Ye Ma, Zhenhua Guo, Bihan Wen:
DVS-Voltmeter: Stochastic Process-Based Event Simulator for Dynamic Vision Sensors. ECCV (7) 2022: 578-593 - [c41]Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP 2022: 2070-2074 - [c40]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising. ICASSP 2022: 2320-2324 - [c39]Kunlei Jing, Xinman Zhang, Zhiyuan Yang, Bihan Wen:
Feature Augmentation Learning for Few-Shot Palmprint Image Recognition With Unconstrained Acquisition. ICASSP 2022: 3323-3327 - [c38]Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen:
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. ICIP 2022: 2886-2890 - [c37]Yuxin Lin, Jian Li, Lanqing Guo, Bihan Wen:
RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement. MIPR 2022: 133-138 - [c36]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. MIPR 2022: 152-157 - [i37]Lanqing Guo, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen:
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement. CoRR abs/2201.03145 (2022) - [i36]Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan:
ABCDE: An Agent-Based Cognitive Development Environment. CoRR abs/2206.04909 (2022) - [i35]Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen:
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. CoRR abs/2207.12056 (2022) - [i34]Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels:
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR abs/2209.06094 (2022) - [i33]Liangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou:
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning. CoRR abs/2210.02442 (2022) - [i32]Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen:
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal. CoRR abs/2212.04711 (2022) - [i31]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR abs/2212.10613 (2022) - 2021
- [j15]Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 16: 2246-2259 (2021) - [j14]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models. IEEE Trans. Image Process. 30: 5223-5238 (2021) - [j13]Zhiyuan Zha, Bihan Wen, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Ce Zhu:
Triply Complementary Priors for Image Restoration. IEEE Trans. Image Process. 30: 5819-5834 (2021) - [c35]Kaiyi Yang, Narong Borijindargoon, Boon Poh Ng, Saiprasad Ravishankar, Bihan Wen:
Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography. ICASSP 2021: 1405-1409 - [c34]Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen:
Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. ICASSP 2021: 1860-1864 - [c33]Lanqing Guo, Renjie Wan, Guan-Ming Su, Alex C. Kot, Bihan Wen:
Multi-Scale Feature Guided Low-Light Image Enhancement. ICIP 2021: 554-558 - [c32]Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen:
R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. ICIP 2021: 1624-1628 - [c31]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Low-Rank Regularized Joint Sparsity for Image Denoising. ICIP 2021: 1644-1648 - [c30]Shijun Liang, Berk Iskender, Bihan Wen, Saiprasad Ravishankar:
Labmat: Learned Feature-Domain Block Matching For Image Restoration. ICIP 2021: 1689-1693 - [c29]Ling Huang, Deruo Cheng, Xulei Yang, Tong Lin, Yiqiong Shi, Kaiyi Yang, Bah-Hwee Gwee, Bihan Wen:
Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning. ICIP 2021: 3497-3501 - [c28]Way Tan, Bihan Wen, Cen Chen, Zeng Zeng, Xulei Yang:
Systematic Analysis of Circular Artifacts for Stylegan. ICIP 2021: 3902-3906 - [c27]Meng Pang, Binghui Wang, Mang Ye, Yiran Chen, Bihan Wen:
Disentangling Prototype and Variation for Single Sample Face Recognition. ICME 2021: 1-6 - [c26]Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. IJCAI 2021: 4312-4321 - [c25]Rongkai Zhang, Lanqing Guo, Siyu Huang, Bihan Wen:
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement. ACM Multimedia 2021: 2429-2437 - [i30]Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler:
Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR abs/2101.05500 (2021) - [i29]Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. CoRR abs/2102.01356 (2021) - [i28]Way Tan, Bihan Wen, Xulei Yang:
Systematic Analysis and Removal of Circular Artifacts for StyleGAN. CoRR abs/2103.01090 (2021) - [i27]Hao Cheng, Kim-Hui Yap, Bihan Wen:
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification. CoRR abs/2106.00256 (2021) - [i26]Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen:
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery. CoRR abs/2107.05318 (2021) - [i25]Rongkai Zhang, Lanqing Guo, Siyu Huang, Bihan Wen:
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement. CoRR abs/2107.05830 (2021) - [i24]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. CoRR abs/2109.04683 (2021) - [i23]Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen:
Disentangled Feature Representation for Few-shot Image Classification. CoRR abs/2109.12548 (2021) - [i22]Tao Bai, Jun Zhao, Lanqing Guo, Bihan Wen:
Adversarial Purification through Representation Disentanglement. CoRR abs/2110.07801 (2021) - [i21]Lanqing Guo, Siyu Huang, Haosen Liu, Bihan Wen:
FINO: Flow-based Joint Image and Noise Model. CoRR abs/2111.06031 (2021) - 2020
- [j12]Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. IEEE Signal Process. Mag. 37(1): 41-53 (2020) - [j11]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang, Ce Zhu:
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration. IEEE Trans. Image Process. 29: 3254-3269 (2020) - [j10]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. 29: 3695-3706 (2020) - [j9]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang, Ce Zhu:
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization. IEEE Trans. Image Process. 29: 5094-5109 (2020) - [j8]Bihan Wen, Yanjun Li, Yoram Bresler:
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers. IEEE Trans. Image Process. 29: 5310-5323 (2020) - [j7]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
Image Restoration Using Joint Patch-Group-Based Sparse Representation. IEEE Trans. Image Process. 29: 7735-7750 (2020) - [j6]Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen:
Image Restoration via Simultaneous Nonlocal Self-Similarity Priors. IEEE Trans. Image Process. 29: 8561-8576 (2020) - [j5]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu:
Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration. IEEE Trans. Image Process. 29: 8960-8975 (2020) - [c24]Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen:
A Hybrid Structural Sparse Error Model for Image Deblocking. ICASSP 2020: 2493-2497 - [c23]Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu:
The Power Of Triply Complementary Priors For Image Compressive Sensing. ICIP 2020: 983-987 - [c22]Hao Cheng, Bihan Wen:
Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification. ICIP 2020: 2411-2415 - [c21]Xulei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen, Yi Su:
Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation. ICIP 2020: 3020-3024 - [c20]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Reconciliation Of Group Sparsity And Low-Rank Models For Image Restoration. ICME 2020: 1-6 - [c19]Xuankai Liu, Fengting Li, Bihan Wen, Qi Li:
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data. ICPR 2020: 10149-10156 - [c18]Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. IJCAI 2020: 623-629 - [i20]Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler:
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR abs/2003.12985 (2020) - [i19]Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu:
The Power of Triply Complementary Priors for Image Compressive Sensing. CoRR abs/2005.07902 (2020) - [i18]Zerui Shao, Yifei Pu, Jiliu Zhou, Bihan Wen, Yi Zhang:
Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection. CoRR abs/2006.07795 (2020) - [i17]Lanqing Guo, Saiprasad Ravishankar, Bihan Wen:
Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. CoRR abs/2006.13714 (2020) - [i16]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. CoRR abs/2007.06878 (2020) - [i15]Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. CoRR abs/2007.09077 (2020) - [i14]Xuankai Liu, Fengting Li, Bihan Wen, Qi Li:
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data. CoRR abs/2008.00407 (2020) - [i13]Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex C. Kot:
Feature Distillation With Guided Adversarial Contrastive Learning. CoRR abs/2009.09922 (2020) - [i12]Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao, Haoyu Wang, Xusheng Xiao, Bihan Wen, Yih-Chun Hu:
HyperService: Interoperability and Programmability Across Heterogeneous Blockchains. IACR Cryptol. ePrint Arch. 2020: 578 (2020)
2010 – 2019
- 2019
- [j4]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. IEEE Trans. Image Process. 28(4): 1691-1704 (2019) - [c17]Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao, Haoyu Wang, Xusheng Xiao, Bihan Wen, Yih-Chun Hu:
HyperService: Interoperability and Programmability Across Heterogeneous Blockchains. CCS 2019: 549-566 - [c16]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
Simultaneous Nonlocal Self-Similarity Prior for Image Denoising. ICIP 2019: 1119-1123 - [c15]Zhiyuan Zha, Bihan Wen, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
A Comparative Study for the Nuclear Norms Minimization Methods. ICIP 2019: 2050-2054 - [c14]Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang:
A Novel Framework for 3D-2D Vertebra Matching. MIPR 2019: 121-126 - [i11]Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR abs/1903.11431 (2019) - [i10]Sicheng Wang, Bihan Wen, Junru Wu, Dacheng Tao, Zhangyang Wang:
Segmentation-Aware Image Denoising without Knowing True Segmentation. CoRR abs/1905.08965 (2019) - [i9]Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao, Haoyu Wang, Xusheng Xiao, Bihan Wen, Yih-Chun Hu:
HyperService: Interoperability and Programmability Across Heterogeneous Blockchains. CoRR abs/1908.09343 (2019) - 2018
- [b1]Bihan Wen:
Adaptive nonlocal and structured sparse signal modeling and applications. University of Illinois Urbana-Champaign, USA, 2018 - [c13]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu:
Joint Patch-Group Based Sparse Representation for Image Inpainting. ACML 2018: 145-160 - [c12]Bihan Wen, Ulugbek S. Kamilov, Dehong Liu, Hassan Mansour, Petros T. Boufounos:
Deepcasd: An End-to-End Approach for Multi-Spectral Image Super-Resolution. ICASSP 2018: 6503-6507 - [c11]Bihan Wen, Guan-Ming Su:
Transim: Transfer Image Local Statistics Across EOTFS for HDR Image Applications. ICME 2018: 1-6 - [c10]Bihan Wen, Guan-Ming Su:
When Smart Signal Processing Meets Smart Imaging. ICSM 2018: 171-182 - [c9]Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. IJCAI 2018: 842-848 - [c8]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. NeurIPS 2018: 1680-1689 - [i8]Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang:
Non-Local Recurrent Network for Image Restoration. CoRR abs/1806.02919 (2018) - [i7]Bihan Wen, Yanjun Li, Yoram Bresler:
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR abs/1808.01316 (2018) - [i6]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. CoRR abs/1809.01826 (2018) - 2017
- [c7]Bihan Wen, Yanjun Li, Yoram Bresler:
When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP 2017: 2297-2301 - [c6]Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler:
Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. ICCV 2017: 241-250 - [i5]Ding Liu, Bihan Wen, Xianming Liu, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. CoRR abs/1706.04284 (2017) - [i4]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising. CoRR abs/1710.00947 (2017) - 2016
- [j3]Ding Liu, Zhaowen Wang, Bihan Wen, Jianchao Yang, Wei Han, Thomas S. Huang:
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. IEEE Trans. Image Process. 25(7): 3194-3207 (2016) - [c5]Bihan Wen, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, Stefan Winkler:
COVERAGE - A novel database for copy-move forgery detection. ICIP 2016: 161-165 - [c4]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Learning flipping and rotation invariant sparsifying transforms. ICIP 2016: 3857-3861 - [i3]Ye Zhu, Tian-Tsong Ng, Xuanjing Shen, Bihan Wen:
Revisiting copy-move forgery detection by considering realistic image with similar but genuine objects. CoRR abs/1601.07262 (2016) - [i2]Soumyabrata Dev, Bihan Wen, Yee Hui Lee, Stefan Winkler:
Machine Learning Techniques and Applications For Ground-based Image Analysis. CoRR abs/1606.02811 (2016) - 2015
- [j2]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. Int. J. Comput. Vis. 114(2-3): 137-167 (2015) - [j1]Saiprasad Ravishankar, Bihan Wen, Yoram Bresler:
Online Sparsifying Transform Learning - Part I: Algorithms. IEEE J. Sel. Top. Signal Process. 9(4): 625-636 (2015) - [c3]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Video denoising by online 3D sparsifying transform learning. ICIP 2015: 118-122 - [i1]Bihan Wen, Yoram Bresler, Saiprasad Ravishankar:
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. CoRR abs/1511.06359 (2015) - 2014
- [c2]Saiprasad Ravishankar, Bihan Wen, Yoram Bresler:
Online sparsifying transform learning for signal processing. GlobalSIP 2014: 364-368 - [c1]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
Learning overcomplete sparsifying transforms with block cosparsity. ICIP 2014: 803-807
Coauthor Index
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