R. G. Cinbis

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 783 researchers and is trusted by 600 researchers here, as inferred from the citation graph.

Subfields

Whom R. G. Cinbis trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Antonio Torralba
  8. Ross B. Girshick
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts R. G. Cinbis overall

  1. Dim P. Papadopoulos
  2. Jasper R. R. Uijlings
  3. Hakan Bilen
  4. Suo Qiu
  5. Krishna Kumar Singh
  6. Yu-Xiong Wang
  7. Vittorio Ferrari
  8. Philippe Weinzaepfel
  9. Pascal Mettes
  10. Cordelia Schmid

Papers from R. G. Cinbis's perspective

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

Their papers