Germán Ros

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 342 researchers and is trusted by 346 researchers here, as inferred from the citation graph.

Subfields

Whom Germán Ros trusts overall

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

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

Who trusts Germán Ros overall

  1. Sergey I. Nikolenko
  2. Luc Van Gool
  3. Lukas Hoyer
  4. Yang Zhang
  5. Dengxin Dai
  6. Yuhua Chen
  7. Stephan R. Richter
  8. Andreas Geiger
  9. Yanchao Yang
  10. Gabriella Csurka

Papers from Germán Ros's perspective

Ordered by how strongly the researchers Germán Ros 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers