Welcome to Shuhan Chen's Homepage!

Shuhan Chen 陈舒涵

Associate Professor, Master Supervisor
IPAL (Image Processing and Analysis Lab)
School of Information Engineering at Yangzhou University
Email: c [dot] shuhan [at] gmail [dot] com shchen [at] yzu [dot] edu [dot] cn
Google Scholar Github

News

[02/2024] One paper was accepted by Pattern Recognition. Congratulations to Haonan Tang.
[07/2022] One paper was accepted by PRCV 2022. Congratulations to Lu Lu.
[07/2022] One paper was accepted by Multimedia Tools and Applications. Congratulations to Xiuqi Xu.
[01/2022] One paper was accepted by The Visual Computer. Congratulations to Jinhao Yu.
[08/2021] One paper was accepted by Image and Vision Computing. Congratulations to Xiuqi Xu.
[04/2021] One paper was accepted by The Visual Computer. Congratulations to Jian Wang.
[07/2020] One paper was accepted by ECCV 2020.
[05/2020] The PyTorch code of our IEEE TIP paper is released.
[01/2020] One paper was accepted by IEEE TIP.
[11/2019] One paper was accepted by The Visual Computer. Congratulations to Ben Wang.
[03/2019] I'm visiting SmileLab at Northeastern University, under the supervision of Prof. Yun (Raymond) Fu.
[11/2018] One paper was accepted by IEEE TCYB.
[07/2018] One paper was accepted by ECCV 2018.
[05/2018] We are organizing NCIG 2018, welcome to Yangzhou in 11-13, May.

Biography

I'm currently an associate professor in School of Information Engineering at Yangzhou University. I received my B.E. and Ph.D.degrees in School of Automation from Chongqing University, in 2009 and 2013, respectively.
During 2019.03-2020.03, I'm visiting SmileLab at Northeastern University, Boston, under the supervision of Prof. Yun (Raymond) Fu.
My research interests lie in computer vision and image processing, with particular interest in deep learning based salient object detection and binary segmentation.

Selected Publications

Split-Guidance Network for Salient Object Detection

Shuhan Chen, Jinhao Yu, Xiuqi Xu, Zeyu Chen, Lu Lu, Xuelong Hu, Yuequan Yang

The Visual Computer, 2022

[pdf] [cite]

@article{chen2022tvc, 
author={Chen, Shuhan and Yu, Jinhao and Xu, Xiuqi and Chen, Zeyu and Lu, Lu and  Hu, Xuelong and Yang, Yuequan}, 
journal={The Visual Computer}, 
title={Split-Guidance Network for Salient Object Detection},
volume={}, 
number={},
pages={},
year={2022}
}

Boundary Guidance Network for Camouflage Object Detection

Xiuqi Xu, Mingyu Zhu, Jinhao Yu, Shuhan Chen, Xuelong Hu, Yuequan, Yang

Image and Vision Computing, 2021

[pdf] [cite]

@article{xu2021ivc, 
author={Xu, Xiuqi and Zhu, Mingyu and Yu, Jinhao and Chen, Shuhan and Hu, Xuelong and Yang, Yuequan}, 
journal={Image and Vision Computing}, 
title={Boundary Guidance Network for Camouflage Object Detection},
volume={114}, 
number={},
pages={104283},
year={2021}
}

Guided Residual Network for RGB-D Salient Object Detection With Efficient Depth Feature Learning

Jian Wang, Shuhan Chen, Xiao Lv, Xiuqi Xu, Xuelong Hu

The Visual Computer, 2022

[pdf] [cite]

@article{wang2021tvc, 
author={Wang, Jian and Chen, Shuhan and Lv, Xiao and Xu, Xiuqi and Hu, Xuelong}, 
journal={The Visual Computer}, 
title={Guided Residual Network for RGB-D Salient Object Detection With Efficient Depth Feature Learning},
volume={38}, 
number={},
pages={1803–1814},
year={2022}
}

Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

Shuhan Chen, Yun Fu

European Conference on Computer Vision (ECCV), 2020

[pdf] [cite] [code]

@inproceedings{chen2020eccv, 
author={Chen, Shuhan and Fu, Yun}, 
booktitle={European Conference on Computer Vision}, 
title={Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection},
pages={520-538},
year={2020}
}

Reverse Attention Based Residual Network for Salient Object Detection

Shuhan Chen, Xiuli Tan, Ben Wang, Huchuan Lu, Xuelong Hu, Yun Fu

IEEE Transactions on Image Processing, 2020 (ECCV 2018 extension)

[pdf] [cite] [code]

@article{chen2020tip, 
author={Chen, Shuhan and Tan, Xiuli and Wang, Ben and Lu, Huchuan and Hu, Xuelong and Fu, Yun}, 
journal={IEEE Transactions on Image Processing}, 
title={Reverse Attention-Based Residual Network for Salient Object Detection},
volume={29},  
pages={3763-3776},
year={2020}
}

Residual Feature Pyramid Networks for Salient Object Detection

Ben Wang, Shuhan Chen, Jian Wang, Xuelong Hu

The Visual Computer, 2020

[pdf] [cite]

@article{wang2020tvc, 
author={Wang, Ben and Chen, Shuhan and Wang, Jian and  Hu, Xuelong}, 
journal={The Visual Computer}, 
title={Residual Feature Pyramid Networks for Salient Object Detection},
volume={36}, 
number={9},
pages={1897-1908},
year={2020}
}

Embedding Attention and Residual Network for Accurate Salient Object Detection

Shuhan Chen, Ben Wang, Xiuli Tan, Xuelong Hu

IEEE Transactions on Cybernetics, 2020

[pdf] [cite] [result]

@article{chen2020cyb, 
author={Chen, Shuhan and Wang, Ben and Tan, Xiuli and  Hu, Xuelong}, 
journal={IEEE Transactions on Cybernetics}, 
title={Embedding Attention and Residual Network for Accurate Salient Object Detection},
volume={50}, 
number={5},
pages={2050-2062},
year={2020}
}

Reverse Attention for Salient Object Detection

Shuhan Chen, Xiuli Tan, Ben Wang, Xuelong Hu

European Conference on Computer Vision (ECCV), 2018

[pdf] [cite] [code]

@inproceedings{chen2018eccv, 
author={Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong}, 
booktitle={European Conference on Computer Vision}, 
title={Reverse Attention for Salient Object Detection},
pages={236-252},
year={2018}
}

Discriminative Saliency Propagation with Sink Points

Shuhan Chen, Ling Zheng, Xuelong Hu, PingZhou

Pattern Recognition, 60: 2-12, 2016

[pdf] [cite] [code]

@article{chen2016pr, 
author={Chen, Shuhan and Zheng, Ling and Hu, Xuelong and Zhou, Ping}, 
journal={Pattern Recognition}, 
title={Discriminative Saliency Propagation with Sink Points}, 
volume={60},  
pages={2-12},
year={2016}
}

Feature Coding for Image Classification Combining Global Saliency and Local Difference

Shuhan Chen, Weiren Shi, Xiao Lv

Pattern Recognition Letters, 51: 44-49, 2015

[pdf] [cite]

@article{chen2015prl, 
author={Chen, Shuhan and Shi, Weiren and Lv, Xiao}, 
journal={Pattern Recognition Letters}, 
title={Feature Coding for Image Classification Combining Global Saliency and Local Difference}, 
volume={51},  
pages={44-49},
year={2015}
}

Projects

National Natural Science Foundation of China, No. 62471430, 2025/01-2028/12.
National Natural Science Foundation of China (Youth Program), No. 61802336, 2019/01-2021/12.
Natural Science Foundation of the Jiangsu Higher Education Institutions of China, 15KJB510032, 2015/07-2017/06.
Rearing Fund for Innovative Research of Yangzhou University, 2016CXJ024, 2017CXJ026, 2017/01-2018/12.
Startup Fund for Young Scholars of Yangzhou University, 2014/01-2021/12.

Teaching

Analysis of Signals and Linear Systems, Spring.
Digital Signal Processing, Autumn.
Digital Image Processing, Autumn.

Activities

Journal Reviewer: IEEE Transactions on Image Processing; IEEE Transactions on Cybernetics; IEEE Transactions on Neural Networks and Learning Systems; IEEE Transactions on Multimedia; IEEE Signal Processing Letters; IEEE Access; Signal Processing: Image Communication.
Conference Reviewer: ICCV 2021; IJCAI 2021; AAAI 2021; AAAI 2020.
Member of CSIG (China Society of Image and Graphics).
Invited talk: Visual Saliency Based Image Classification, CSIG Annual Symposium 2014 of Digital Imaging Committee, Yangzhou, China, Apr.26, 2014.
Invited talk: A Review of Saliency Detection in Images, CSIG China Goes, Yangzhou, China, Apr.28, 2017.

Graduate Students

Haonan Tang (2022-) Yang Liu (2023-) Shiyu Wang (2023-) Yao Chen (2024-)

Alumni

Zeyu Chen (2021-2024)

Lu Lu (2021-2024)

Jinhao Yu (2020-2023)

Xiuqi Xu (2019-2022)

Jian Wang (2018-2021)

Ben Wang (2017-2020)

Xiuli Tan (2016-2019)

Jindong Li (2015-2018)

Ling Zheng (2014-2017)