Gabriel Villalonga

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel Villalonga trusts overall

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

  1. Markus Enzweiler
  2. Navneet Dalal
  3. Bastian Leibe
  4. Jens Behley

Who trusts Gabriel Villalonga overall

  1. Yin Zhou
  2. Zetong Yang
  3. Andreas Pfeuffer

Papers from Gabriel Villalonga's perspective

Ordered by how strongly the researchers Gabriel Villalonga trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. Object Detection with Discriminatively Trained Part Based Models
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers