Gemma Roig

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 635 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Gemma Roig trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Yann LeCun
  10. Shaoqing Ren

Who trusts Gemma Roig overall

  1. Michael Crawshaw
  2. Simon Vandenhende
  3. David Stutz
  4. Luc Van Gool
  5. Fanyi Xiao
  6. Alon Faktor
  7. Menelaos Kanakis
  8. Sihui Luo
  9. Andras Rozsa

Papers from Gemma Roig's perspective

Ordered by how strongly the researchers Gemma Roig 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