Roberto Javier López-Sastre

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 7 papers; trusts 877 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Javier López-Sastre trusts overall

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

  1. Andrew Zisserman
  2. Kaiming He
  3. Ross B. Girshick
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. David G. Lowe
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Roberto Javier López-Sastre overall

  1. Vishwanath A. Sindagi
  2. Vishal M. Patel
  3. Luca Ciampi
  4. Yuhong Li
  5. Daniel Oñoro-Rubio
  6. Shanghang Zhang
  7. Weizhe Liu
  8. Viresh Ranjan
  9. Di Kang
  10. Deepak Babu Sam

Papers from Roberto Javier López-Sastre's perspective

Ordered by how strongly the researchers Roberto Javier López-Sastre trusts endorse each paper. Same corpus, a different order for every researcher.

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