Jun Xu

Affiliations:
  • Nankai University, College of Computer Science, TKLNDST, Tianjin, China
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong (PhD 2018)


According to our database1, Jun Xu authored at least 41 papers between 2015 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2021
Bilateral Attention Network for RGB-D Salient Object Detection.
IEEE Trans. Image Process., 2021

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
IEEE Trans. Image Process., 2021

CDNet: Complementary Depth Network for RGB-D Salient Object Detection.
IEEE Trans. Image Process., 2021

Scaled Simplex Representation for Subspace Clustering.
IEEE Trans. Cybern., 2021

MetaKernel: Learning Variational Random Features with Limited Labels.
CoRR, 2021

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

STAR: A Structure and Texture Aware Retinex Model.
IEEE Trans. Image Process., 2020

Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image.
IEEE Trans. Image Process., 2020

NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising.
IEEE Trans. Image Process., 2020

Conditional Variational Image Deraining.
IEEE Trans. Image Process., 2020

MobileSal: Extremely Efficient RGB-D Salient Object Detection.
CoRR, 2020

Interactive Knowledge Distillation.
CoRR, 2020

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.
CoRR, 2020

Variational Image Deraining.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Learn Kernels with Variational Random Features.
Proceedings of the 37th International Conference on Machine Learning, 2020

Gradient-Induced Co-Saliency Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Hough Transform for Semantic Line Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Learn with Variational Information Bottleneck for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Sparse, collaborative, or nonnegative representation: Which helps pattern classification?
Pattern Recognit., 2019

LDFR: Learning deep feature representation for software defect prediction.
J. Syst. Softw., 2019

TSTSS: A two-stage training subset selection framework for cross version defect prediction.
J. Syst. Softw., 2019

Non-negative Sparse and Collaborative Representation for Pattern Classification.
CoRR, 2019

Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition.
CoRR, 2019

Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image.
CoRR, 2019

Energy-Efficient Analog Frond-End Design for Ultrasound Imaging Applications.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

RANet: Ranking Attention Network for Fast Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising.
IEEE Trans. Image Process., 2018

Partial Deconvolution With Inaccurate Blur Kernel.
IEEE Trans. Image Process., 2018

Simplex Representation for Subspace Clustering.
CoRR, 2018

Real-world Noisy Image Denoising: A New Benchmark.
CoRR, 2018

Cross version defect prediction with representative data via sparse subset selection.
Proceedings of the 26th Conference on Program Comprehension, 2018

A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A PID Controller Approach for Stochastic Optimization of Deep Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
External Prior Guided Internal Prior Learning for Real Noisy Image Denoising.
CoRR, 2017

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Patch Group Based Bayesian Learning for Blind Image Denoising.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Radius-margin based support vector machine with LogDet regularizaron.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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