Jun Xu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 64

Top Topics

Salient Object Detection

Subspace Clustering

Top Venues

IEEE Trans. Image Process.

IEEE Trans. Multim.

Publications

Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu
Lightweight improved residual network for efficient inverse tone mapping. Multim. Tools Appl. 83 (25) (2024)
Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. CoRR (2024)
Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Xiantong Zhen
Variational Neuron Shifting for Few-Shot Image Classification Across Domains. IEEE Trans. Multim. 26 (2024)
Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li, Shengyong Chen, Yingjun Du, Xiantong Zhen, Honghai Liu
Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. IEEE Trans. Cybern. 54 (4) (2024)
Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Jing Qin, Mingqiang Wei
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 20 (1) (2024)
Yuxuan Shi, Jun Xu, Dinggang Shen
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images. CoRR (2023)
Hao Hou, Jun Xu, Yingkun Hou, Xiaotao Hu, Benzheng Wei, Dinggang Shen
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. IEEE Trans. Image Process. 32 (2023)
Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Trans. Multim. 25 (2023)
Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng
Deep Hough Transform for Semantic Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
MobileSal: Extremely Efficient RGB-D Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan
Bilateral Attention Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CoRR (2021)
Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23 (2021)
Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR (2021)
Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang
Scaled Simplex Representation for Subspace Clustering. IEEE Trans. Cybern. 51 (3) (2021)
Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans. Image Process. 30 (2021)
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CVPR (2021)
Wenda Jin, Jun Xu, Qi Han, Yi Zhang, Ming-Ming Cheng
CDNet: Complementary Depth Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
Wenda Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection. NeurIPS (2020)
Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang
Variational Image Deraining. WACV (2020)
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR (2020)
Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng
Deep Hough Transform for Semantic Line Detection. CoRR (2020)
Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. CoRR (2020)
Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29 (2020)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR (2020)
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Learning to Learn Kernels with Variational Random Features. CoRR (2020)
Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. 29 (2020)
Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng
Gradient-Induced Co-Saliency Detection. ECCV (12) (2020)
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
Conditional Variational Image Deraining. CoRR (2020)
Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao
STAR: A Structure and Texture Aware Retinex Model. IEEE Trans. Image Process. 29 (2020)
Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek
Learning to Learn Kernels with Variational Random Features. ICML (2020)
Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang
Interactive Knowledge Distillation. CoRR (2020)
Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng
Gradient-Induced Co-Saliency Detection. CoRR (2020)
Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan
Bilateral Attention Network for RGB-D Salient Object Detection. CoRR (2020)
Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29 (2020)
Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng
Deep Hough Transform for Semantic Line Detection. ECCV (9) (2020)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) (2020)
Jun Xu, Wangpeng An, Lei Zhang, David Zhang
Sparse, collaborative, or nonnegative representation: Which helps pattern classification? Pattern Recognit. 88 (2019)
Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR (2019)
Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang
Non-negative Sparse and Collaborative Representation for Pattern Classification. CoRR (2019)
Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao
STAR: A Structure and Texture Aware Retinex Model. CoRR (2019)
Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition. CoRR (2019)
Jianguo Diao, Shuai Li, Yimin Wu, Fan Ye, Jun Xu, Junyan Ren
Energy-Efficient Analog Frond-End Design for Ultrasound Imaging Applications. MWSCAS (2019)
Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR (2019)
Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, Jacky Keung
TSTSS: A two-stage training subset selection framework for cross version defect prediction. J. Syst. Softw. 154 (2019)
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR (2019)
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV (2019)
Zhou Xu, Shuai Li, Jun Xu, Jin Liu, Xiapu Luo, Yifeng Zhang, Tao Zhang, Jacky Keung, Yutian Tang
LDFR: Learning deep feature representation for software defect prediction. J. Syst. Softw. 158 (2019)
Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping. CVPR (2018)
Dongwei Ren, Wangmeng Zuo, David Zhang, Jun Xu, Lei Zhang
Partial Deconvolution With Inaccurate Blur Kernel. IEEE Trans. Image Process. 27 (1) (2018)
Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang
Real-world Noisy Image Denoising: A New Benchmark. CoRR (2018)
Jun Xu, Wangpeng An, Lei Zhang, David Zhang
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? CoRR (2018)
Jun Xu, Deyu Meng, Lei Zhang
Simplex Representation for Subspace Clustering. CoRR (2018)
Jun Xu, Lei Zhang, David Zhang
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Trans. Image Process. 27 (6) (2018)
Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, Jun Xu
Cross version defect prediction with representative data via sparse subset selection. ICPC (2018)
Jun Xu, Lei Zhang, David Zhang
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. ECCV (8) (2018)
Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang
A PID Controller Approach for Stochastic Optimization of Deep Networks. CVPR (2018)
Jun Xu, Lei Zhang, David Zhang
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. CoRR (2018)
Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. ICCV (2017)
Jun Xu, Lei Zhang, David Zhang
External Prior Guided Internal Prior Learning for Real Noisy Image Denoising. CoRR (2017)
Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. CoRR (2017)
Jun Xu, Dongwei Ren, Lei Zhang, David Zhang
Patch Group Based Bayesian Learning for Blind Image Denoising. ACCV Workshops (1) (2016)
Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV (2015)
Yuanyuan Zhu, Xiaohe Wu, Jun Xu, David Zhang, Wangmeng Zuo
Radius-margin based support vector machine with LogDet regularizaron. ICMLC (2015)