Dong Cao

Computer Vision and Pattern Recognition · with Guo · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Cao trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Sergey Levine (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Yann LeCun (in Computer Vision and Pattern Recognition)
  7. Pieter Abbeel (in Computer Vision and Pattern Recognition)
  8. David G. Lowe (in Computer Vision and Pattern Recognition)
  9. Chelsea Finn (in Computer Vision and Pattern Recognition)

Papers from Dong Cao's perspective

Ordered by how strongly the researchers Dong Cao 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. Gradient-based learning applied to document recognition
  4. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers