Soonmin Hwang

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 477 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Soonmin Hwang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Piotr Doll'ar
  4. Navneet Dalal
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Yann LeCun
  10. Shaoqing Ren

Who trusts Soonmin Hwang overall

  1. Hui Li
  2. Ming-Yu Liu
  3. Kailai Zhou
  4. Hiroshi Sasaki
  5. Élisa Fromont
  6. Chengyang Li
  7. Markus Braun
  8. Jingjing Liu
  9. Jörg Wagner
  10. Sanghyun Woo

Papers from Soonmin Hwang's perspective

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

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

Their papers