Yen-Cheng Liu

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 9 papers; trusts 731 researchers and is trusted by 316 researchers here, as inferred from the citation graph.

Subfields

Whom Yen-Cheng Liu 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. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Yen-Cheng Liu overall

  1. Ali Ayub
  2. Han-Jia Ye
  3. Xingchao Peng
  4. Zhen Wang
  5. Gido M. van de Ven
  6. Gobinda Saha
  7. Liyuan Wang
  8. James Smith
  9. Frederik Benzing
  10. Rahaf Aljundi

Papers from Yen-Cheng Liu's perspective

Ordered by how strongly the researchers Yen-Cheng Liu 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers