Ting-Chun Wang

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 1,155 researchers and is trusted by 1,606 researchers here, as inferred from the citation graph.

Subfields

Whom Ting-Chun Wang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ross B. Girshick
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Ting-Chun Wang overall

  1. Weihao Xia
  2. Ming-Yu Liu
  3. Taesung Park
  4. Tianfu Wu
  5. Oran Gafni
  6. Patrick Esser
  7. Andreas Blattmann
  8. Jun-Yan Zhu
  9. Aliaksandr Siarohin
  10. Oron Ashual

Papers from Ting-Chun Wang's perspective

Ordered by how strongly the researchers Ting-Chun Wang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers