Taeg Sang Cho

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Taeg Sang Cho trusts overall

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

  1. William T. Freeman
  2. Alexei A. Efros
  3. Yair Weiss
  4. Nikos Komodakis
  5. Jue Wang
  6. Eric N. Mortensen
  7. Patrick Pérez
  8. Jonathan S. Yedidia
  9. Denis Simakov
  10. Vivek Kwatra

Who trusts Taeg Sang Cho overall

  1. Chongyi Li
  2. Chunle Guo
  3. Christine M. Guillemot
  4. Qifeng Chen
  5. Yael Pritch
  6. Subhabrata Bhattacharya
  7. Denis Simakov
  8. Yi-Hsuan Tsai
  9. Ruixing Wang
  10. Wenyan Cong

Papers from Taeg Sang Cho's perspective

Ordered by how strongly the researchers Taeg Sang Cho 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers