Sanghyun Son
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 225 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it; #3,853 of 21,575 by trust here, #2,332 by citations
- Media Technology — 57 citations into it; #339 of 3,621 by trust here, #109 by citations
- Artificial Intelligence — 10 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Sanghyun Son trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Radu Timofte
- Geoffrey E. Hinton
- Chao Dong
- Alex Krizhevsky
- Christian Szegedy
- Jianchao Yang
- Yann LeCun
- Yoshua Bengio
Who trusts Sanghyun Son overall
- Kai Zhang
- Radu Timofte
- Yulun Zhang
- Saeed Anwar
- Andreas Lugmayr
- Jingyun Liang
- Xintao Wang
- Luc Van Gool
- Jinjin Gu
- Namhyuk Ahn
Papers from Sanghyun Son's perspective
Ordered by how strongly the researchers Sanghyun Son trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Enhanced Deep Residual Networks for Single Image Super-Resolution (2017) — 7,355 citations
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study (2019) — 613 citations