Byung-soo Kim

Computer Vision and Pattern Recognition · with Kohli · 2012–2014

A researcher in the Science corpus: 4 papers; trusts 557 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Byung-soo Kim trusts overall

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

  1. Lubor Ladicky
  2. Pedro F. Felzenszwalb
  3. Jamie Shotton
  4. Yuri Boykov
  5. Derek Hoiem
  6. Pushmeet Kohli
  7. Stephen Gould
  8. Geoffrey E. Hinton
  9. Ross B. Girshick
  10. Alex Krizhevsky

Who trusts Byung-soo Kim overall

  1. Shuran Song
  2. Anurag Arnab
  3. Loic Landrieu
  4. Michael Firman
  5. Gernot Riegler
  6. Dinh C. Nguyen
  7. Nikolay Savinov
  8. Philip H. S. Torr
  9. Angela Dai
  10. Felix Järemo Lawin

Papers from Byung-soo Kim's perspective

Ordered by how strongly the researchers Byung-soo Kim 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers