基本信息

姓 名 : 徐君

性 别 :

所属部门: 计算机科学与技术系

行政职务:

职 称 : 讲师

学 历 : 博士

所学专业: 计算机

办公电话:

电子邮件: csjunxu@nankai.edu.cn

研究方向: 人工智能,计算机视觉,机器学习,图像处理,模式识别

个人简介:

研究生招生:


2021年9月入学的学术硕士已招满!

Please send me an email with your:

  1. Chinese/English CV
  2. undergraduate transcript
  3. CET-6 (500+) or TOEFL (90+,writting 26+) transcript
  4. github webpage
  5. paper (English preferred)

I will not reply unless I receive the required documents (at least 1, 2, 3).


For more details, please refer to my personal webpage: https://csjunxu.github.io/.


Recent Research Interests

Computer Vision: Image/Video Restoration/Enhancement, Video Object Segmentation

Machine Learning: Network Optimization, Generative Learning


Work Experience

2019.10--Now: Assistant Professor, College of Computer Science, Nankai University, China.

2018.09--2019.10: Research Scientist, Inception Institute of Artificial Intelligence, UAE.

2018.06--2018.09: Post-Doc Fellow, GrUVi Lab, Simon Fraser University, Canada (work with Prof. Yasutaka Furukawa,winner of ECCV 2012 Best Student Paper).


Education

2014.07--2018.05: Ph.D., Department of Computing, The Hong Kong Polytechnic University.

Supervisors: Prof. David Zhang (IEEE Life Fellow, IAPR Fellow, Google Citation>60000) and Prof. Lei Zhang (IEEE Fellow, Google Citation>50000).

2011.09--2014.06: M.Sc., School of Mathematics Science, Nankai University, Supervisor: Prof. Jishou Ruan.

2007.09--2011.06: B.Sc., School of Mathematics Science, Nankai University.


科研项目

[3] 国家自然科学青年基金,移动设备上的深度模型和图像修复方法研究,2021.1~2023.12,主持。

[2] 南开大学计算机学院“学科振兴计划”,智能底层视觉技术研究,2020.1~2021.12,主持。

[1] 南开大学青年教师启动基金,智能图像增强技术研究,2020.1~2021.12,主持。


Selected Publication (* means corresponding author, # means co-first authors, Google Citation > 900)

2020

[21] Wen-Da Jin#, Jun Xu#, Ming-Ming Cheng, Yi Zhang, Wei Guo. ICNet: Intra-saliency Correlation Network for Co-Saliency Detection. Neural Information Processing Systems (NeurIPS), Sep. 2020. (CCF-A, Top conference in Artificial Intelligence and Machine Learning)

[20] 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 Transactions on Image Processing (TIP), vol. 29, pp. 9316-9329, Sep. 2020. (CCF-A, SCI一区Top,IF=9.340)

[19] Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang*, and Ling Shao. STAR: A Structure and Texture Aware Retinex Model. IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5022-5037, Mar. 2020. (CCF-A, SCI一区Top,IF=9.340)

[18] Yingjun Du#, Jun Xu#, Xiantong Zhen*, Ming-Ming Cheng, Ling Shao. Conditional Variational Image Deraining. IEEE Transactions on Image Processing (TIP), vol. 29, pp. 6288-6301, June 2020. (CCF-A, SCI一区Top,IF=9.340)

[17] 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 Transactions on Image Processing (TIP), vol. 29, pp. 5121-5135, Mar. 2020. (CCF-A, SCI一区Top,IF=9.340)

[16] Xiantong Zhen#, Haoliang Sun#, Yingjun Du#, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek. Learning to Learn Kernels with Variational Random Features. International Conference on Machine Learning (ICML), July 2020. (CCF-A, Top conference in Artificial Intelligence and Machine Learning)

[15] Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen*, Cees Snoek, Ling Shao. Learning to Learn with Variational Information Bottleneck for Domain Generalization. European Conference on Computer Vision (ECCV), Aug. 2020. (CCF-B, Top conference in Artificial Intelligence and Computer Vision)

[14] Zhao Zhang#, Wen-Da Jin#, Jun Xu, Ming-Ming Cheng*. Gradient-Induced Co-Saliency Detection. European Conference on Computer Vision (ECCV), Aug. 2020. (CCF-B, Top conference in Artificial Intelligence and Computer Vision)

[13] Qi Han#, Kai Zhao#, Jun Xu, Ming-Ming Cheng*. Deep Hough Transform for Semantic Line Detection. European Conference on Computer Vision (ECCV), Aug. 2020. (CCF-B, Top conference in Artificial Intelligence and Computer Vision)

[12] Haoqian Wang*, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, and Lei Zhang. PID Controller based Stochastic Optimization Acceleration for Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Accepted, 2020. (SCI一区Top,IF=8.793)

2019

[11] Jun Xu*, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang. Scaled Simplex Representation for Subspace Clustering. IEEE Transactions on Cybernetics (TCYB), Oct. 2019. (SCI一区Top,IF=11.079)

[10] Jun Xu*, Wangpeng An, David Zhang, Lei Zhang. Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? Pattern Recognition, vol. 88, pp. 679-688, Apr. 2019. (SCI一区, IF=7.196)

[9] Ziqin Wang, Jun Xu*, Li Liu, Fan Zhu, and Ling Shao. RANet: Ranking Attention Network for Fast Video Object Segmentation. International Conference on Computer Vision (ICCV), Seoul, Korea, 2019. (CCF-A, Top conference in Artificial Intelligence and Computer Vision)

2018 and Before

[8] Jun Xu, Lei Zhang*, David Zhang. A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. European Conference on Computer Vision (ECCV), Munich, Germany, 2018. (CCF-B, Top conference in Artificial Intelligence and Computer Vision)

[7] Jun Xu, Lei Zhang*, David Zhang. External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Transactions on Image Processing (TIP), vol. 27, issue 6, pp. 2996-3010, June 2018. (CCF-A, SCI一区, IF=9.340)

[6] Jun Xu, Lei Zhang*, David Zhang, Xiangchu Feng. Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. International Conference on Computer Vision (ICCV), Venice, Italy, 2017. (CCF-A, Top conference in Artificial Intelligence and Computer Vision)

[5] Jun Xu, Lei Zhang*, Wangmeng Zuo, David Zhang and Xiangchu Feng. Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. International Conference on Computer Vision (ICCV), 244-252, Santiago, Chile, 2015. (CCF-A, Top conference in Artificial Intelligence and Computer Vision)

[4] Jun Xu, Kui Xu, Ke Chen*, Jishou Ruan. Reweighted Sparse Subspace Clustering. Computer Vision and Image Understanding (CVIU), vol. 138, pp. 25-37, Sep. 2015. (CCF-B, SCI二区, IF=3.121)

[3] Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang*. A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping. Computer Vision and Pattern Recognition (CVPR), pp. 4758-4766, Salt Lake City, USA, 2018. (CCF-A, Top conference in Artificial Intelligence and Computer Vision)

[2] Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang*. A PID Controller Approach for Stochastic Optimization of Deep Networks. Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. (CCF-A, Top conference in Artificial Intelligence and Computer Vision)

[1] Dongwei Ren, Wangmeng Zuo*, David Zhang, Jun Xu, Lei Zhang. Partial Deconvolution with Inaccurate Blur Kernel. IEEE Transactions on Image Processing (TIP), vol. 27, issue 1, pp. 511-524, Jan. 2018. (CCF-A, SCI一区, IF=9.340)


Conference Program Committee Member/Reviewer

  • CVPR 2021, 2020, 2019
  • ICCV 2019
  • ECCV 2020
  • AAAI 2020
  • IJCAI 2020, 2019
  • MICCAI 2019
  • ...


Journal Reviewer

  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Industrial Electronics (TIE)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Cybernetics (TCYB)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • Pattern Recognition (PR)
  • ...
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