Texture Segmentation by Fuzzy Clustering of Spatial Patterns. - Yong Xia 001; Rongchun Zhao; Yanning Zhang 001; Jian Sun 009; David Dagan Feng (FSKD, 2006)

An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network. - Jian Sun 009; Zongben Xu (ISNN (2), 2006)

Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs. - Jian Sun 009; Jian Sun 001; Sing Bing Kang; Zongben Xu; Xiaoou Tang; Heung-Yeung Shum (CVPR, 2007)

Image super-resolution using gradient profile prior. - Jian Sun 009; Zongben Xu; Heung-Yeung Shum (CVPR, 2008)

Context-constrained hallucination for image super-resolution. - Jian Sun 009; Jiejie Zhu; Marshall F. Tappen (CVPR, 2010)

Scale selection for anisotropic diffusion filter by Markov random field model. - Jian Sun 009; Zongben Xu (Pattern Recognit., 2010)

Image Inpainting by Patch Propagation Using Patch Sparsity. - Zongben Xu; Jian Sun 009 (IEEE Trans. Image Process., 2010)

Learning non-local range Markov Random field for image restoration. - Jian Sun 009; Marshall F. Tappen (CVPR, 2011)

Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement. - Jian Sun 009; Jian Sun 001; Zongben Xu; Heung-Yeung Shum (IEEE Trans. Image Process., 2011)

Unified cardinalized probability hypothesis density filters for extended targets and unresolved targets. - Feng Lian; Chongzhao Han; Weifeng Liu 004; Jing Liu 011; Jian Sun 009 (Signal Process., 2012)

Learning to Estimate and Remove Non-uniform Image Blur. - Florent Couzinie-Devy; Jian Sun 009; Karteek Alahari; Jean Ponce (CVPR, 2013)

Learning Discriminative Part Detectors for Image Classification and Cosegmentation. - Jian Sun 009; Jean Ponce (ICCV, 2013)

Poisson image fusion based on Markov random field fusion model. - Jian Sun 009; Hongyan Zhu; Zongben Xu; Chongzhao Han (Inf. Fusion, 2013)

Fast image deconvolution using closed-form thresholding formulas of regularization. - Wenfei Cao; Jian Sun 009; Zongben Xu (J. Vis. Commun. Image Represent., 2013)

Separable Markov Random Field Model and Its Applications in Low Level Vision. - Jian Sun 009; Marshall F. Tappen (IEEE Trans. Image Process., 2013)

Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers. - Minsu Cho; Jian Sun 009; Olivier Duchenne; Jean Ponce (CVPR, 2014)

Learning a convolutional neural network for non-uniform motion blur removal. - Jian Sun 009; Wenfei Cao; Zongben Xu; Jean Ponce (CVPR, 2015)

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. - Wenfei Cao; Yao Wang 003; Jian Sun 009; Deyu Meng; Can Yang 002; Andrzej Cichocki; Zongben Xu (CoRR, 2015)

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition. - Huibin Li; Jian Sun 009; Dong Wang; Zongben Xu; Liming Chen 002 (CoRR, 2015)

Color Image Denoising via Discriminatively Learned Iterative Shrinkage. - Jian Sun 009; Jian Sun 001; Zongben Xu (IEEE Trans. Image Process., 2015)

Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. - Heran Yang; Jian Sun 009; Huibin Li; Lisheng Wang; Zongben Xu (MICCAI (2), 2016)

Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation. - Jian Sun 009; Jean Ponce (Int. J. Comput. Vis., 2016)

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. - Wenfei Cao; Yao Wang 003; Jian Sun 009; Deyu Meng; Can Yang 002; Andrzej Cichocki; Zongben Xu (IEEE Trans. Image Process., 2016)

Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition. - Huibin Li; Jian Sun 009; Liming Chen 002 (IJCB, 2017)

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI. - Yan Yang 007; Jian Sun 009; Huibin Li; Zongben Xu (CoRR, 2017)

Unsupervised PolSAR Image Classification Using Discriminative Clustering. - Haixia Bi; Jian Sun 009; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2017)

Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network. - Huibin Li; Jian Sun 009; Zongben Xu; Liming Chen 002 (IEEE Trans. Multim., 2017)

Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing. - Dong Yang; Jian Sun 009 (ECCV (7), 2018)

Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis. - Ruixuan Yu; Jian Sun 009; Huibin Li (ECCV Workshops (3), 2018)

Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition. - Xiaofan Wei; Huibin Li; Jian Sun 009; Liming Chen 002 (FG, 2018)

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. - Heran Yang; Jian Sun 009; Aaron Carass; Can Zhao 001; Junghoon Lee; Zongben Xu; Jerry L. Prince (DLMIA/ML-CDS@MICCAI, 2018)

Surface reconstruction from unorganized points with l0 gradient minimization. - Huibin Li; Yibao Li; Ruixuan Yu; Jian Sun 009; Junseok Kim (Comput. Vis. Image Underst., 2018)

Diverse lesion detection from retinal images by subspace learning over normal samples. - Benzhi Chen; Lisheng Wang; Jian Sun 009; Huai Chen; Yinghua Fu; Shouren Lan; Yijie Huang; Zongben Xu (Neurocomputing, 2018)

Neural multi-atlas label fusion: Application to cardiac MR images. - Heran Yang; Jian Sun 009; Huibin Li; Lisheng Wang; Zongben Xu (Medical Image Anal., 2018)

A tensor-based nonlocal total variation model for multi-channel image recovery. - Wenfei Cao; Jing Yao 002; Jian Sun 009; Guodong Han (Signal Process., 2018)

BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering. - Dong Yang 006; Jian Sun 009 (IEEE Signal Process. Lett., 2018)

HyperAdam: A Learnable Task-Adaptive Adam for Network Training. - Shipeng Wang 002; Jian Sun 009; Zongben Xu (AAAI, 2019)

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. - Nan Meng; Yan Yang 007; Zongben Xu; Jian Sun 009 (MICCAI (4), 2019)

Neural Diffusion Distance for Image Segmentation. - Jian Sun 009; Zongben Xu (NeurIPS, 2019)

HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition. - Xin Wei; Ruixuan Yu; Jian Sun 009 (CoRR, 2019)

A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification. - Haixia Bi; Jian Sun 009; Zongben Xu (IEEE Trans. Geosci. Remote. Sens., 2019)

Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction. - Ji He; Yan Yang 007; Yongbo Wang; Dong Zeng; Zhaoying Bian; Hao Zhang 026; Jian Sun 009; Zongben Xu; Jianhua Ma 001 (IEEE Trans. Medical Imaging, 2019)

Learning Distribution Independent Latent Representation for 3D Face Disentanglement. - Zihui Zhang; Cuican Yu; Huibin Li; Jian Sun 009; Feng Liu (3DV, 2020)

Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. - Xiang Gu 005; Jian Sun 009; Zongben Xu (CVPR, 2020)

View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis. - Xin Wei; Ruixuan Yu; Jian Sun 009 (CVPR, 2020)

End-to-end Interpretable Learning of Non-blind Image Deblurring. - Thomas Eboli; Jian Sun 009; Jean Ponce (ECCV (17), 2020)

Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis. - Ruixuan Yu; Xin Wei; Federico Tombari; Jian Sun 009 (ECCV (10), 2020)

Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image. - Yan Yang 007; Na Wang; Heran Yang; Jian Sun 009; Zongben Xu (MICCAI (2), 2020)

Structured and Localized Image Restoration. - Thomas Eboli; Alex Nowak-Vila; Jian Sun 009; Francis R. Bach; Jean Ponce; Alessandro Rudi (CoRR, 2020)

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. - Yan Yang 007; Jian Sun 009; Huibin Li; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Abnormality detection in retinal image by individualized background learning. - Benzhi Chen; Lisheng Wang; Xiuying Wang 001; Jian Sun 009; Yijie Huang; Dagan Feng 001; Zongben Xu (Pattern Recognit., 2020)

Second-Order Spectral Transform Block for 3D Shape Classification and Retrieval. - Ruixuan Yu; Jian Sun 009; Huibin Li (IEEE Trans. Image Process., 2020)

Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN. - Heran Yang; Jian Sun 009; Aaron Carass; Can Zhao 001; Junghoon Lee; Jerry L. Prince; Zongben Xu (IEEE Trans. Medical Imaging, 2020)

Training Networks in Null Space of Feature Covariance for Continual Learning. - Shipeng Wang 002; Xiaorong Li; Jian Sun 009; Zongben Xu (CVPR, 2021)

Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views. - Xin Wei; Yifei Gong; Fudong Wang 001; Xing Sun 001; Jian Sun 009 (ICCV, 2021)

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. - Heran Yang; Jian Sun 009; Liwei Yang; Zongben Xu (MICCAI (3), 2021)

Adversarial Reweighting for Partial Domain Adaptation. - Xiang Gu 005; Xi Yu; Yan Yang 007; Jian Sun 009; Zongben Xu (NeurIPS, 2021)

A Model-Driven Deep Dehazing Approach by Learning Deep Priors. - Dong Yang 006; Jian Sun 009 (IEEE Access, 2021)

A distribution independence based method for 3D face shape decomposition. - Cuican Yu; Zihui Zhang; Huibin Li; Jian Sun 009; Zongben Xu (Comput. Vis. Image Underst., 2021)

Joint Depth and Defocus Estimation From a Single Image Using Physical Consistency. - Anmei Zhang; Jian Sun 009 (IEEE Trans. Image Process., 2021)

Modality-Adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities. - Zechen Zhao; Heran Yang; Jian Sun 009 (MICCAI (5), 2022)

Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation. - Xiang Gu 005; Yucheng Yang 004; Wei Zeng; Jian Sun 009; Zongben Xu (NeurIPS, 2022)

Learning Generalizable Part-based Feature Representation for 3D Point Clouds. - Xin Wei; Xiang Gu 005; Jian Sun 009 (NeurIPS, 2022)

Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization. - Xiaohui Yang; Zheng Wang; Jian Sun 009; Zongben Xu (Sci. China Inf. Sci., 2022)

Variational HyperAdam: A Meta-Learning Approach to Network Training. - Shipeng Wang 002; Yan Yang 007; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning. - Liwei Yang; Xiang Gu 005; Jian Sun 009 (AAAI, 2023)

Prototypical Partial Optimal Transport for Universal Domain Adaptation. - Yucheng Yang 004; Xiang Gu 005; Jian Sun 009 (AAAI, 2023)

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. - Cuican Yu; Guansong Lu; Yihan Zeng; Jian Sun 009; Xiaodan Liang; Huibin Li; Zongben Xu; Songcen Xu; Wei Zhang 196; Hang Xu 004 (ICCV, 2023)

Optimal Transport-Guided Conditional Score-Based Diffusion Model. - Xiang Gu 005; Liwei Yang; Jian Sun 009; Zongben Xu (NeurIPS, 2023)

Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing. - Xi Yu; Xiang Gu 005; Haozhi Liu; Jian Sun 009 (NeurIPS, 2023)

Keypoint-Guided Optimal Transport. - Xiang Gu 005; Yucheng Yang 004; Wei Zeng; Jian Sun 009; Zongben Xu (CoRR, 2023)

Optimal Transport-Guided Conditional Score-Based Diffusion Models. - Xiang Gu 005; Liwei Yang; Jian Sun 009; Zongben Xu (CoRR, 2023)

Deep expectation-maximization network for unsupervised image segmentation and clustering. - Yannan Pu; Jian Sun 009; Niansheng Tang; Zongben Xu (Image Vis. Comput., 2023)

Meta-learning-based adversarial training for deep 3D face recognition on point clouds. - Cuican Yu; Zihui Zhang; Huibin Li; Jian Sun 009; Zongben Xu (Pattern Recognit., 2023)

Promoting Monocular Depth Estimation by Multi-Scale Residual Laplacian Pyramid Fusion. - Anmei Zhang; Yunchao Ma; Jiangyu Liu; Jian Sun 009 (IEEE Signal Process. Lett., 2023)

MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging. - Jiazhen Wang; Yan Yang 007; Heran Yang; Chunfeng Lian; Zongben Xu; Jian Sun 009 (IEEE Trans. Computational Imaging, 2023)

Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis. - Xin Wei; Ruixuan Yu; Jian Sun 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Noising-Denoising Framework for Point Cloud Upsampling via Normalizing Flows. - Xin Hu; Xin Wei; Jian Sun 009 (Pattern Recognit., 2023)

An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee. - Yan Yang 007; Yizhou Wang 006; Jiazhen Wang; Jian Sun 009; Zongben Xu (SIAM J. Imaging Sci., 2023)

Variational Data-Free Knowledge Distillation for Continual Learning. - Xiaorong Li; Shipeng Wang 002; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning-based local weighted least squares for algebraic multigrid method. - Fan Wang; Xiang Gu 005; Jian Sun 009; Zongben Xu (J. Comput. Phys., 2023)

Memory efficient data-free distillation for continual learning. - Xiaorong Li; Shipeng Wang 002; Jian Sun 009; Zongben Xu (Pattern Recognit., 2023)

Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities. - Heran Yang; Jian Sun 009; Zongben Xu (IEEE Trans. Medical Imaging, 2023)

Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration. - Xiaole Tang; Xin Hu; Xiang Gu 005; Jian Sun 009 (ICML, 2024)

Adversarial data splitting for domain generalization. - Xiang Gu 005; Jian Sun 009; Zongben Xu (Sci. China Inf. Sci., 2024)

Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation. - Xiang Gu 005; Xi Yu; Yan Yang 007; Jian Sun 009; Zongben Xu (CoRR, 2024)

SAM-UNet:Enhancing Zero-Shot Segmentation of SAM for Universal Medical Images. - Sihan Yang; Haixia Bi; Hai Zhang; Jian Sun 009 (CoRR, 2024)

AMMD: Attentive maximum mean discrepancy for few-shot image classification. - Ji Wu; Shipeng Wang 002; Jian Sun 009 (Pattern Recognit., 2024)

Scenario-Aware Learning Approaches to Adaptive Channel Estimation. - Runhua Li; Jian Sun 009; Jiang Xue 001; Christos Masouros (IEEE Trans. Commun., 2024)

Polarimetry-Inspired Contrastive Learning for Class-Imbalanced PolSAR Image Classification. - Zuzheng Kuang; Haixia Bi; Fan Li 003; Chen Xu; Jian Sun 009 (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation. - Xiang Gu 005; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Deep Learning Approach for Universal NPRACH Detection With Inter-Cell Interference. - Runhua Li; Jiang Xue 001; Jian Sun 009; Symeon Chatzinotas (IEEE Trans. Commun., 2024)

Contrasting augmented features for domain adaptation with limited target domain data. - Xi Yu; Xiang Gu 005; Jian Sun 009 (Pattern Recognit., 2024)

Adversarial Reweighting with α-Power Maximization for Domain Adaptation. - Xiang Gu 005; Xi Yu; Yan Yang 007; Jian Sun 009; Zongben Xu (Int. J. Comput. Vis., 2024)

Self-supervised distributional and contrastive learning model for image anomaly detection. - Yannan Pu; Jian Sun 009; Niansheng Tang; Zongben Xu (Knowl. Based Syst., 2025)

Adaptive representation learning and sample weighting for low-quality 3D face recognition. - Cuican Yu; Fengxun Sun; Zihui Zhang; Huibin Li; Liming Chen 002; Jian Sun 009; Zongben Xu (Pattern Recognit., 2025)

GMapLatent: Geometric Mapping in Latent Space. - Wei Zeng; Xuebin Chang; Jianghao Su; Xiang Gu 005; Jian Sun 009; Zongben Xu (CoRR, 2025)

Multi-Scale Part-Based Feature Representation for 3D Domain Generalization and Adaptation. - Xin Wei; Xiang Gu 005; Jian Sun 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Training Networks in Null Space of Feature Covariance With Self-Supervision for Incremental Learning. - Shipeng Wang 002; Xiaorong Li; Jian Sun 009; Zongben Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

UniSTAD: An Unified Triple-Tower Student-Teacher Model for Multi-Class Anomaly Detection and Localization. - Huan Liu; Jian Sun 009 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport. - Taoran Zheng; Xing Li; Yan Yang 007; Xiang Gu 005; Zongben Xu; Jian Sun 009 (CoRR, 2025)

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification. - Zuzheng Kuang; Haixia Bi; Chen Xu; Jian Sun 009 (CoRR, 2025)

Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration. - Xiaole Tang; Xiang Gu 005; Xiaoyi He; Xin Hu; Jian Sun 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)