Zhi-Song Liu - Concepedia

Author

Zhi-Song Liu

Hong Kong Polytechnic University ORCID

Also Known As

Liu Zhi-Song, Liu, Zhi-Song, Liu, Zhisong, Z. Liu, Zhi-Song Liu, Zhisong Liu

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

Hong Kong Polytechnic University Saint Francis University Microsoft (United States)Shanghai Jiao Tong University Peking University

About

Zhi-Song Liu is an author at Hong Kong Polytechnic University specializing in computer vision, engineering, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	16	980
2	Data Science	7	7	491
3	Computer Science	3	3	224
4	Art History	1	1	17
5	Artificial Intelligence	1	1	47

Zhi-Song Liu

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Lightening Network for Low-Light Image Enhancement Li-Wen Wang, Zhi-Song Liu, Wan-Chi Siu, IEEE Transactions on Image Processing DeblurringPhotonicsLow-light EnhancementConvolutional Neural NetworkMachine Vision	2020	260
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr, Martin Danelljan, Radu Timofte, High ResolutionEngineeringNtire 2020Super-resolution ImagingImage Analysis	2020	162
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results Jianrui Cai, Shuhang Gu, Radu Timofte, Super-resolution ImagingFocal LengthMachine VisionImage AnalysisData Science	2019	108
Image Super-Resolution via Attention Based Back Projection Networks Zhi-Song Liu, Liwen Wang, Chu-Tak Li, Super-resolution ImagingConvolutional Neural NetworkMachine VisionImage AnalysisDeep Learning	2019	77
Photo-Realistic Image Super-Resolution via Variational Autoencoders Zhi-Song Liu, Wan-Chi Siu, Yui‐Lam Chan IEEE Transactions on Circuits and Systems for Video Technology EngineeringMachine LearningAutoencodersSuper-resolution ImagingSuper-resolution Distortion	2020	72
Hierarchical Back Projection Network for Image Super-Resolution Zhi-Song Liu, Liwen Wang, Chu-Tak Li, Super-resolution ImagingConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning	2019	53
NTIRE 2021 Learning the Super-Resolution Space Challenge Andreas Lugmayr, Martin Danelljan, Radu Timofte, Artificial IntelligenceNtire 2021Super-resolution ImagingMachine VisionImage Analysis	2021	47
Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests Zhi-Song Liu, Wan-Chi Siu, Yui‐Lam Chan IEEE Transactions on Image Processing EngineeringMachine LearningBiometricsHybrid ModelSuper-resolution Imaging	2021	35
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results Shuhang Gu, Martin Danelljan, Radu Timofte, Super-resolution ImagingHigh ResolutionImage AnalysisEngineeringLow Resolution Image	2019	32
Variational AutoEncoder for Reference based Image Super-Resolution Zhi-Song Liu, Wan-Chi Siu, Liwen Wang Super-resolution ImagingMachine VisionImage AnalysisData ScienceMachine Learning	2021	31

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