Seong-Sik Cho

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seong-Sik Cho trusts overall

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

  1. Chih-Jen Lin
  2. Navneet Dalal
  3. Eli Shechtman
  4. Lu Xia
  5. Tapas Kanungo
  6. Bill Triggs
  7. Michal Irani
  8. Ronald Poppe
  9. Chia-Chih Chen

Papers from Seong-Sik Cho's perspective

Ordered by how strongly the researchers Seong-Sik Cho trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. LIBSVM: A library for support vector machines
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers