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ORCIDJun Xu 0019
Person information
- affiliation: Nankai University, College of Computer Science, TKLNDST, Tianjin, China
- affiliation (PhD 2018): Hong Kong Polytechnic University, Department of Computing, Hong Kong
Other persons with the same name
- Jun Xu — disambiguation page
- Jun Xu 0001
![[0000-0001-7170-111X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7170-111X")
— Renmin University of China, School of Information, Beijing Key Laboratory of Big Data Management and Analysis Methods, China (and 4 more) - Jun Erik Xu (aka: Jun Xu 0002) — Hughes Network Systems, Germantown, MD, USA (and 1 more)
- Jun Xu 0003 — Google Inc., Mountain View, CA, USA (and 2 more)
- Jun Xu 0004 — Marvell Semiconductor (and 1 more)
- Jun Xu 0005 — Nanjing University of Information Science & Technology, China (and 1 more)
- Jun Xu 0006 — Southern Cross University, Gold Coast, NSW, Australia
- Jun Xu 0007 — University of Texas Health Science Center, Houston, TX, USA (and 1 more)
- Jun Xu 0008 — Tsinghua University, Department of Automation, Beijing, China
- Jun Xu 0009 — New Jersey Institute of Technology, Newark, NJ, USA
- Jun Xu 0010 — Tsinghua University, Department of Computing Science & Technology, Beijing, China
- Jun Xu 0011 — Fudan University, The State Key Lab of ASIC & System, China
- Jun Xu 0012 — Fudan University, Department of Computer Science, China
- Jun Xu 0013 — Nanjing University, Institute of VLSI Design, China
- Jun (Jim) Xu (aka: Jun Xu 0014) — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Jun Xu 0015 — Western Digital Corp, Singapore (and 1 more)
- Jun Xu 0016 — Jinan University, Institute of Industrial Economics, Guangzhou, China
- Jun Xu 0017 — Sun Yat-Sen University, Research Center for Drug Discovery, Guangzhou, China
- Jun Xu 0018 — Xi'an Jiaotong University, School of Mechanical Engineering, China (and 1 more)
- Jun Xu 0020 — Institute of Geographical Science and Natural Resources Research, Beijing, China (and 1 more)
- Jun Xu 0021 — Wuhan University, Electronic Information School, China (and 1 more)
- Jun Xu 0022 — Chinese Academy of Sciences, Institute of Information Engineering, State Key State Laboratory of Information Security, Beijing, China (and 1 more)
- Jun Xu 0023 — Shenzhen University, College of Computer Science and Software Engineering, China (and 2 more)
- Jun Xu 0024 — Stevens Institute of Technology, Hoboken, NJ, USA (and 1 more)
- Jun Xu 0025 — University of Central Florida, Department of Computer Science, Orlando, FL, USA
- Jun Xu 0026 — Shanghai University of Electric Power, College of Automation Engineering (and 1 more)
- Jun Xu 0027 — Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- Jun Xu 0028 — Yunnan University, School of Information Science and Engineering, Kunming, China
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2020 – today
- 2024
[j28]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): 1464-1478 (2024)- [j27]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): 2592-2605 (2024) - [j26]Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Xiantong Zhen:
Variational Neuron Shifting for Few-Shot Image Classification Across Domains. IEEE Trans. Multim. 26: 1460-1473 (2024) - [j25]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): 18:1-18:21 (2024) - 2023
- [j24]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: 1184-1199 (2023) - [j23]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: 1773-1783 (2023) - [i27]Yuxuan Shi, Jun Xu, Dinggang Shen:
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images. CoRR abs/2311.09590 (2023) - 2022
- [j22]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): 4793-4806 (2022) - [j21]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): 10261-10269 (2022) - [j20]Anran Zhang, Jun Xu, Xiaoyan Luo, Xianbin Cao, Xiantong Zhen:
Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6686-6699 (2022) - [i26]Jin Liang, Anran Zhang, Jun Xu, Hui Li, Xiantong Zhen:
Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion. CoRR abs/2203.03624 (2022) - [i25]Hao Hou, Xiaotao Hu, Jun Xu, Yingkun Hou, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. CoRR abs/2205.03777 (2022) - [i24]Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. CoRR abs/2207.03367 (2022) - 2021
- [j19]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): 1493-1505 (2021) - [j18]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: 1949-1961 (2021) - [j17]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans. Image Process. 30: 3113-3126 (2021) - [j16]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: 3376-3390 (2021) - [j15]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: 4065-4078 (2021) - [c17]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: 6388-6397 - [i23]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CoRR abs/2104.10642 (2021) - [i22]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 abs/2105.03781 (2021) - [i21]Hao Hou, Yingkun Hou, Yuxuan Shi, Benzheng Wei, Jun Xu:
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement. CoRR abs/2106.06971 (2021) - 2020
- [j14]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: 5022-5037 (2020) - [j13]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: 5121-5135 (2020) - [j12]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j11]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: 9316-9329 (2020) - [j10]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): 5079-5091 (2020) - [c16]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: 200-216 - [c15]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. ECCV (9) 2020: 249-265 - [c14]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. ECCV (12) 2020: 455-472 - [c13]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: 11409-11419 - [c12]Wenda Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo:
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection. NeurIPS 2020 - [c11]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i20]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. CoRR abs/2003.04676 (2020) - [i19]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 abs/2004.07054 (2020) - [i18]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i17]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. CoRR abs/2004.13364 (2020) - [i16]Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan:
Bilateral Attention Network for RGB-D Salient Object Detection. CoRR abs/2004.14582 (2020) - [i15]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i14]Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang:
Interactive Knowledge Distillation. CoRR abs/2007.01476 (2020) - [i13]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 abs/2007.07645 (2020) - [i12]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR abs/2012.13095 (2020)
2010 – 2019
- 2019
- [j9]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: 59-78 (2019) - [j8]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) - [j7]Jun Xu, Wangpeng An, Lei Zhang, David Zhang:
Sparse, collaborative, or nonnegative representation: Which helps pattern classification? Pattern Recognit. 88: 679-688 (2019) - [c10]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV 2019: 3977-3986 - [c9]Jianguo Diao, Shuai Li, Yimin Wu, Fan Ye, Jun Xu, Junyan Ren:
Energy-Efficient Analog Frond-End Design for Ultrasound Imaging Applications. MWSCAS 2019: 1171-1174 - [i11]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 abs/1906.06690 (2019) - [i10]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 abs/1906.06834 (2019) - [i9]Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao:
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR abs/1906.06878 (2019) - [i8]Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai:
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition. CoRR abs/1908.03850 (2019) - [i7]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR abs/1908.06647 (2019) - 2018
- [j6]Dongwei Ren, Wangmeng Zuo, David Zhang, Jun Xu, Lei Zhang:
Partial Deconvolution With Inaccurate Blur Kernel. IEEE Trans. Image Process. 27(1): 511-524 (2018) - [j5]Jun Xu, Lei Zhang, David Zhang:
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Trans. Image Process. 27(6): 2996-3010 (2018) - [c8]Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang:
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping. CVPR 2018: 4758-4766 - [c7]Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang:
A PID Controller Approach for Stochastic Optimization of Deep Networks. CVPR 2018: 8522-8531 - [c6]Jun Xu, Lei Zhang, David Zhang:
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. ECCV (8) 2018: 21-38 - [c5]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: 132-143 - [i6]Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang:
Real-world Noisy Image Denoising: A New Benchmark. CoRR abs/1804.02603 (2018) - [i5]Jun Xu, Wangpeng An, Lei Zhang, David Zhang:
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? CoRR abs/1806.04329 (2018) - [i4]Jun Xu, Lei Zhang, David Zhang:
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. CoRR abs/1807.04364 (2018) - [i3]Jun Xu, Deyu Meng, Lei Zhang:
Simplex Representation for Subspace Clustering. CoRR abs/1807.09930 (2018) - 2017
- [c4]Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng:
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. ICCV 2017: 1105-1113 - [i2]Jun Xu, Lei Zhang, David Zhang:
External Prior Guided Internal Prior Learning for Real Noisy Image Denoising. CoRR abs/1705.04505 (2017) - [i1]Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng:
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. CoRR abs/1705.09912 (2017) - 2016
- [c3]Jun Xu, Dongwei Ren, Lei Zhang, David Zhang:
Patch Group Based Bayesian Learning for Blind Image Denoising. ACCV Workshops (1) 2016: 79-95 - 2015
- [j4]Jun Xu, Kui Xu, Ke Chen, Jishou Ruan:
Reweighted sparse subspace clustering. Comput. Vis. Image Underst. 138: 25-37 (2015) - [j3]Kui Xu, Ke Chen, Jun Xu, Jialin Tian, Hao Liu, Yufan Wang:
CGDNA: 基于簇图的基因组序列集成拼接算法 (CGDNA: An Ensemble De Novo Genome Assembly Algorithm Based on Clustering Graph). 计算机科学 42(9): 235-239 (2015) - [c2]Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng:
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV 2015: 244-252 - [c1]Yuanyuan Zhu, Xiaohe Wu, Jun Xu, David Zhang, Wangmeng Zuo:
Radius-margin based support vector machine with LogDet regularizaron. ICMLC 2015: 277-282 - 2014
- [j2]Yanping Zhang, Jun Xu, Wei Zheng, Chen Zhang, Xingye Qiu, Ke Chen, Jishou Ruan:
newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation. Comput. Biol. Chem. 52: 51-59 (2014) - [j1]Yajun Sheng, Xingye Qiu, Chen Zhang, Jun Xu, Yanping Zhang, Zheng Wei, Ke Chen:
Quad-PRE: A Hybrid Method to Predict Protein Quaternary Structure Attributes. Comput. Math. Methods Medicine 2014: 715494:1-715494:9 (2014)
Coauthor Index
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