Sanghyun Woo

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 9 papers; trusts 1,335 researchers and is trusted by 154 researchers here, as inferred from the citation graph.

Subfields

Whom Sanghyun Woo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Shaoqing Ren
  6. Christian Szegedy
  7. Karen Simonyan
  8. Yann LeCun
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Sanghyun Woo overall

  1. Jongchan Park
  2. Juan R. Terven
  3. Zhongzhan Huang
  4. Qibin Hou
  5. Md Mostafijur Rahman
  6. Irwan Bello
  7. Chun-Fu Chen
  8. Nantheera Anantrasirichai
  9. Junsuk Choe
  10. David W. Romero

Papers from Sanghyun Woo's perspective

Ordered by how strongly the researchers Sanghyun Woo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers