Y. Tong

Computer Vision and Pattern Recognition · with Desbrun · 2005–2017

A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Tong trusts overall

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

  1. Volker Blanz
  2. Thomas Vetter
  3. Robert J. Woodham
  4. Narayanan Ramanathan
  5. Mathieu Desbrun
  6. Ronen Basri
  7. Adrien Treuille
  8. Karl Ricanek Jr.
  9. Olga Sorkine-Hornung
  10. Andreas Lanitis

Who trusts Y. Tong overall

  1. Ayush Kumar Tewari
  2. Michael Zollhöfer
  3. Hyeongwoo Kim
  4. Bor-Chun Chen
  5. Anh Tuan Tran
  6. Aaron S. Jackson
  7. Xiaoming Liu
  8. Elad Richardson
  9. Yu Deng
  10. Justus Thies

Papers from Y. Tong's perspective

Ordered by how strongly the researchers Y. Tong 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. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers