Riquan Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 100 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Riquan Chen trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Jia Deng
  5. Sepp Hochreiter
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Shaoqing Ren
  9. George A. Miller
  10. Diederik P. Kingma

Who trusts Riquan Chen overall

  1. Drew A. Hudson

Papers from Riquan Chen's perspective

Ordered by how strongly the researchers Riquan Chen 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. Long Short-Term Memory
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers