lichongyi25@gmail.com lichongyi@tju.edu.cn
[GitHub]
[DBLP]
[Google Scholar]
2020/01-now, I join in the MMLab@NTU as a research fellow and work with Dr. Chen Change Loy, School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore.
2018/10-2020/01, I was a postdoctoral fellow and worked with Prof. Sam Kwong (IEEE Fellow), Department of Computer Science, City University of Hong Kong (CityU), Kowloon, Hong Kong.
2016/12-2017/12, I was a joint Ph.D. student at Research School of Engineering, Australian National University (ANU), Canberra, Australia, under the supervision of Prof. Fatih Porikli (IEEE Fellow).
2014/09-2018/07, I was a Ph.D. student at School of Electrical and Information Engineering, Tianjin University (TJU), Tianjin, China, under the supervision of Prof. Jichang Guo.
My primary reseach interests include image processing, computer vision, and deep learning, particularly in the domains of
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
CVPR, 2020
Chunle Guo*, Chongyi Li*, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong.
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Code
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
ECCV, 2020
Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy.
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Code
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal
ACM MM, 2020
Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu.
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Code
An Underwater Image Enhancement Benchmark Dataset and Beyond
TIP, 2020
Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao.
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Benchmark|
Code
Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
TGARS, 2020
Chongyi Li, Runmin Cong, Junhui Hou, Sanyi Zhang, Yue Qian, Sam Kwong.
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Benchmark|
Results
Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement
PR, 2020
Chongyi Li, Saeed Anwar, Fatih Porikli.
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Code
ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection
TCyb, 2020
Chongyi Li, Runmin Cong, Sam Kwong, et al.
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Code and Results
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
NeurIPS, 2020
Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, and Yao Zhao.
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Project Page
Dense attention fluid network for salient object detection in optical remote sensing images
TIP, 2020
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, and Sam Kwong.
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Project Page
Dataset
Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution
TIP, 2019
Chunle Guo*, Chongyi Li*, Jichang Guo, Runmin Cong, Huazhu Fu, Ping Han.
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Code