Yen-Chi Cheng

Computer Vision and Pattern Recognition · with Lee · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 301 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yen-Chi Cheng trusts overall

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

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

Who trusts Yen-Chi Cheng overall

  1. Huiwen Chang
  2. Minghua Liu
  3. Chitwan Saharia
  4. Lukas Höllein
  5. Chieh Hubert Lin
  6. Zi-Xin Zou
  7. Han Zhang

Papers from Yen-Chi Cheng's perspective

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

Their papers