Carlos Vallespi-Gonzalez

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Vallespi-Gonzalez trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Binh Yang
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Yann LeCun
  9. Yoshua Bengio
  10. Jimmy Ba

Papers from Carlos Vallespi-Gonzalez's perspective

Ordered by how strongly the researchers Carlos Vallespi-Gonzalez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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