Hua-En Chang

National Taiwan University — Taiwan

Computer Science · Physical Sciences

11h-index532citations15works0.02yr avg
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Research Topics

Image Enhancement Techniques(8), Advanced Vision and Imaging(7), Advanced Image Processing Techniques(7), Advanced Neural Network Applications(4), Video Surveillance and Tracking Methods(4)

Publications15 total

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results
2023· 58 cited
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results
2023· 31 cited
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results
2023· 69 cited
NTIRE 2023 Image Shadow Removal Challenge Report
2023· 43 cited
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
2023· 21 cited
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report
2023· 28 cited
NTIRE 2023 Challenge on Night Photography Rendering
2023· 18 citedOpen Access
Semantic Guidance Learning for High-Resolution Non-homogeneous Dehazing
2023· 7 cited
TSRFormer: Transformer Based Two-stage Refinement for Single Image Shadow Removal
2023· 10 cited
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
NTIRE 2022 Spectral Recovery Challenge and Data Set
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 105 citedOpen Access
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 36 cited
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 58 cited
NTIRE 2022 Challenge on Night Photography Rendering
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 40 citedOpen Access
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning
Lecture notes in computer science·2022· 7 cited

Frequent Co-authors

Hao-Hsiang Yang(15), Sy‐Yen Kuo(14), Zhi-Kai Huang(13), Wei‐Ting Chen(12), Radu Timofte(11), Yi‐Chung Chen(9), Yuan-Chun Chiang(9), I-Hsiang Chen(9), Chia-Hsuan Hsieh(9), Marcos V. Conde(4), Yulun Zhang(3), Shuai Liu(3), Chaoyu Feng(3), Simone Bianco(3), Marco Buzzelli(3), Raimondo Schettini(3), Hongyuan Yu(3), Xuanwu Yin(3), Kunlong Zuo(3), Zhao Zhang(3)