1. 国自然青基，移动设备上的图像修复深度模型研究，2021年1月-2023年12月。

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2021

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

Gang Xu, Jun Xu*, Zhen Li, Liang Wang, Xing Sun, Mingming Cheng

IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2021.

CDNet: Complementary Depth Network for RGB-D Salient Object Detection

Wenda Jin#, Jun Xu#, Qi Han, Yi Zhang, Mingming Cheng

IEEE Transactions on Image Processing (TIP), vol. 30, 3376-3390, Mar. 2021.

Scaled Simplex Representation for Subspace Clustering
Jun Xu*, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang

IEEE Transactions on Cybernetics (TCYB), vol. 51, issue 3, pp. 1493-1505, Mar. 2021.

Deep Hough Transform for Semantic Line Detection

Kai Zhao#, Qi Han#, Changbin Zhang, Jun Xu, Mingming Cheng

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accept.

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Yuhuan Wu, Shanghua Gao, Jie Mei, Jun Xu, Dengping Fan, Rongguo Zhang, Mingming Cheng

IEEE Transactions on Image Processing (TIP), vol. 30, pp. 3113-3126, Feb. 2021.

Bilateral Attention Network for RGB-D Salient Object Detection

Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shaoping Lu, Dengping Fan

IEEE Transactions on Image Processing (TIP), vol. 30, pp. 1949-1961, Jan. 2021.

2020

Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image
Jun Xu#, Yuan Huang#, Mingming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao

IEEE Transactions on Image Processing (TIP), vol. 29, pp. 9316-9329, Sep. 2020.

STAR: A Structure and Texture Aware Retinex Model
Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, and Ling Shao

IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5022-5037, Mar. 2020.

Conditional Variational Image Deraining

Yingjun Du#, Jun Xu#, Xiantong Zhen, Mingming Cheng, Ling Shao

IEEE Transactions on Image Processing (TIP), vol. 29, issue 1, pp. 6288-6301, Dec. 2020.

NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

Yingkun Hou, Jun Xu*, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao

IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5121-5135, Mar. 2020.

PID Controller based Stochastic Optimization Acceleration for Deep Neural Networks

Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, issue 12, pp. 5079-5091, Dec. 2020.

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection

Wen-Da Jin#, Jun Xu#, Mingming Cheng, Yi Zhang, Wei Guo

Neural Information Processing Systems (NeurIPS), Sep. 2020.

Learning to Learn Kernels with Variational Random Features

Xiantong Zhen#, Haoliang Sun#, Yingjun Du#, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

International Conference on Machine Learning (ICML), July 2020.

Learning to Learn with Variational Information Bottleneck for Domain Generalization

Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees Snoek, Ling Shao

European Conference on Computer Vision (ECCV), Aug. 2020.

Deep Hough Transform for Semantic Line Detection

Qi Han#, Kai Zhao#, Jun Xu, Mingming Cheng

European Conference on Computer Vision (ECCV), Aug. 2020.

Gradient-Induced Co-Saliency Detection

Zhao Zhang#, Wen-Da Jin#, Jun Xu, Mingming Cheng

European Conference on Computer Vision (ECCV), Aug. 2020.

2019 and before

RANet: Ranking Attention Network for Fast Video Object Segmentation

Ziqin Wang, Jun Xu*, Li Liu, Fan Zhu, and Ling Shao

International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.

Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu*, Wangpeng An, David Zhang, Lei Zhang

Pattern Recognition, vol. 88, pp. 679-688, Apr. 2019.

A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
Jun Xu, Lei Zhang, David Zhang

European Conference on Computer Vision (ECCV), Munich, Germany, 2018.

External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising
Jun Xu, Lei Zhang, David Zhang

IEEE Transactions on Image Processing (TIP), vol. 27, issue 6, pp. 2996-3010, June 2018.

A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping

Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang

Computer Vision and Pattern Recognition (CVPR), pp. 4758-4766, Salt Lake City, USA, 2018.

A PID Controller Approach for Stochastic Optimization of Deep Networks

Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang

Computer Vision and Pattern Recognition (CVPR),Salt Lake City, USA, 2018.

Partial Deconvolution with Inaccurate Blur Kernel

Dongwei Ren, Wangmeng Zuo, David Zhang, Jun Xu, Lei Zhang

IEEE Transactions on Image Processing (TIP), vol. 27, issue 1, pp. 511-524, Jan. 2018.

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng

International Conference on Computer Vision (ICCV), 1096-1104, Venice, Italy, 2017.

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising
Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang and Xiangchu Feng

International Conference on Computer Vision (ICCV), 244-252, Santiago, Chile, 2015.