EnlightenGAN: Deep Light Enhancement Without Paired Supervision
2021 · IEEE Transactions on Image Processing · 2,272 citations
https://doi.org/10.1109/tip.2021.3051462
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Zhangyang Wang
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Zhangyang Wang is an academic researcher from The University of Texas at Austin. The author has contributed to research in topics: Advanced Neural Network Applications & Adversarial Robustness in Machine Learning & Domain Adaptation and Few-Shot Learning. The author has an h-index of 60, co-authored 516 publications.
ORCID: 0000-0002-2050-5693Papers by this author
worksBenchmarking Single-Image Dehazing and Beyond
2018 · IEEE Transactions on Image Processing · 2,083 citations
https://doi.org/10.1109/tip.2018.2867951
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
2019 · 1,018 citations
https://doi.org/10.1109/iccv.2019.00897
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
2020 · IEEE Transactions on Image Processing · 304 citations
https://doi.org/10.1109/tip.2020.2981922
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
2023 · 295 citations
https://doi.org/10.1109/iccv51070.2023.01462
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
2020 · 176 citations
https://doi.org/10.1109/cvpr42600.2020.00078
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