Jian Sun

Orcid: 0000-0001-7206-0641

Affiliations:
  • Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an, China
  • Ecole Normale Superieure, Computer Science Department, Paris, France (2012 - 2014)
  • University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA (2009 - 2010)
  • Microsoft Research Asia, Beijing, China (2005 - 2008)
  • Xi'an Jiaotong University, Institute for Information and System Science, Xi'an, China (PhD 2009)


According to our database1, Jian Sun authored at least 95 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Adaptive representation learning and sample weighting for low-quality 3D face recognition.
Pattern Recognit., 2025

2024
Adversarial Reweighting with α-Power Maximization for Domain Adaptation.
Int. J. Comput. Vis., October, 2024

Contrasting augmented features for domain adaptation with limited target domain data.
Pattern Recognit., April, 2024

A Deep Learning Approach for Universal NPRACH Detection With Inter-Cell Interference.
IEEE Trans. Commun., March, 2024

Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Polarimetry-Inspired Contrastive Learning for Class-Imbalanced PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Scenario-Aware Learning Approaches to Adaptive Channel Estimation.
IEEE Trans. Commun., 2024

AMMD: Attentive maximum mean discrepancy for few-shot image classification.
Pattern Recognit., 2024

Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration.
CoRR, 2024

SAM-UNet:Enhancing Zero-Shot Segmentation of SAM for Universal Medical Images.
CoRR, 2024

Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation.
CoRR, 2024

Adversarial data splitting for domain generalization.
Sci. China Inf. Sci., 2024

Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities.
IEEE Trans. Medical Imaging, December, 2023

Memory efficient data-free distillation for continual learning.
Pattern Recognit., December, 2023

Learning-based local weighted least squares for algebraic multigrid method.
J. Comput. Phys., November, 2023

Variational Data-Free Knowledge Distillation for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee.
SIAM J. Imaging Sci., September, 2023

A Noising-Denoising Framework for Point Cloud Upsampling via Normalizing Flows.
Pattern Recognit., August, 2023

Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging.
IEEE Trans. Computational Imaging, 2023

Promoting Monocular Depth Estimation by Multi-Scale Residual Laplacian Pyramid Fusion.
IEEE Signal Process. Lett., 2023

Meta-learning-based adversarial training for deep 3D face recognition on point clouds.
Pattern Recognit., 2023

Deep expectation-maximization network for unsupervised image segmentation and clustering.
Image Vis. Comput., 2023

Optimal Transport-Guided Conditional Score-Based Diffusion Models.
CoRR, 2023

Keypoint-Guided Optimal Transport.
CoRR, 2023

Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport-Guided Conditional Score-Based Diffusion Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Prototypical Partial Optimal Transport for Universal Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Variational HyperAdam: A Meta-Learning Approach to Network Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization.
Sci. China Inf. Sci., 2022

Learning Generalizable Part-based Feature Representation for 3D Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modality-Adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Joint Depth and Defocus Estimation From a Single Image Using Physical Consistency.
IEEE Trans. Image Process., 2021

A distribution independence based method for 3D face shape decomposition.
Comput. Vis. Image Underst., 2021

A Model-Driven Deep Dehazing Approach by Learning Deep Priors.
IEEE Access, 2021

Adversarial Reweighting for Partial Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Training Networks in Null Space of Feature Covariance for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN.
IEEE Trans. Medical Imaging, 2020

Second-Order Spectral Transform Block for 3D Shape Classification and Retrieval.
IEEE Trans. Image Process., 2020

Abnormality detection in retinal image by individualized background learning.
Pattern Recognit., 2020

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Structured and Localized Image Restoration.
CoRR, 2020

Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis.
Proceedings of the Computer Vision - ECCV 2020, 2020

End-to-end Interpretable Learning of Non-blind Image Deblurring.
Proceedings of the Computer Vision - ECCV 2020, 2020

View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Spherical Space Domain Adaptation With Robust Pseudo-Label Loss.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Distribution Independent Latent Representation for 3D Face Disentanglement.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2019

A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition.
CoRR, 2019

Neural Diffusion Distance for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

HyperAdam: A Learnable Task-Adaptive Adam for Network Training.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering.
IEEE Signal Process. Lett., 2018

A tensor-based nonlocal total variation model for multi-channel image recovery.
Signal Process., 2018

Neural multi-atlas label fusion: Application to cardiac MR images.
Medical Image Anal., 2018

Diverse lesion detection from retinal images by subspace learning over normal samples.
Neurocomputing, 2018

Surface reconstruction from unorganized points with <i>l</i><sub>0</sub> gradient minimization.
Comput. Vis. Image Underst., 2018

Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network.
IEEE Trans. Multim., 2017

Unsupervised PolSAR Image Classification Using Discriminative Clustering.
IEEE Trans. Geosci. Remote. Sens., 2017

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI.
CoRR, 2017

Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2016
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016

Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation.
Int. J. Comput. Vis., 2016

Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Color Image Denoising via Discriminatively Learned Iterative Shrinkage.
IEEE Trans. Image Process., 2015

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition.
CoRR, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

Learning a convolutional neural network for non-uniform motion blur removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Separable Markov Random Field Model and Its Applications in Low Level Vision.
IEEE Trans. Image Process., 2013

Fast image deconvolution using closed-form thresholding formulas of regularization.
J. Vis. Commun. Image Represent., 2013

Poisson image fusion based on Markov random field fusion model.
Inf. Fusion, 2013

Learning Discriminative Part Detectors for Image Classification and Cosegmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Learning to Estimate and Remove Non-uniform Image Blur.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Unified cardinalized probability hypothesis density filters for extended targets and unresolved targets.
Signal Process., 2012

2011
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement.
IEEE Trans. Image Process., 2011

Learning non-local range Markov Random field for image restoration.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Image Inpainting by Patch Propagation Using Patch Sparsity.
IEEE Trans. Image Process., 2010

Scale selection for anisotropic diffusion filter by Markov random field model.
Pattern Recognit., 2010

Context-constrained hallucination for image super-resolution.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
Image super-resolution using gradient profile prior.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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