Dennis Chao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dennis Chao trusts overall

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

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

Papers from Dennis Chao's perspective

Ordered by how strongly the researchers Dennis Chao 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 Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Microsoft COCO: Common Objects in Context

Their papers