R. de Temple

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. de Temple trusts overall

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

  1. Qi Chen
  2. Charles Ruizhongtai Qi
  3. Federico Castanedo
  4. Ross B. Girshick
  5. Pedro F. Felzenszwalb
  6. Andrew Zisserman
  7. Yin Zhou
  8. Kaiming He
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Papers from R. de Temple's perspective

Ordered by how strongly the researchers R. de Temple 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers