Daniel Oñoro-Rubio

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 837 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Oñoro-Rubio trusts overall

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

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

Who trusts Daniel Oñoro-Rubio overall

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

Papers from Daniel Oñoro-Rubio's perspective

Ordered by how strongly the researchers Daniel Oñoro-Rubio 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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