Yi-Ting Chen

Computer Vision and Pattern Recognition · with Duerig · 2015–2022

A researcher in the Science corpus: 7 papers; trusts 719 researchers and is trusted by 292 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Ting Chen trusts overall

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

  1. Pablo Arbeláez
  2. Ross B. Girshick
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Bharath Hariharan
  7. Yoshua Bengio
  8. Jitendra Malik
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Yi-Ting Chen overall

  1. Anurag Arnab
  2. Philip H. S. Torr
  3. Weicheng Kuo
  4. Bernardino Romera-Paredes
  5. Marius Cordts
  6. Bert De Brabandere
  7. Lei Ke
  8. Liang-Chieh Chen
  9. Jonas Uhrig
  10. Shu Liu

Papers from Yi-Ting Chen's perspective

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

Their papers