Valentin Gabeur

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 3 papers; trusts 214 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Valentin Gabeur trusts overall

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

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

Who trusts Valentin Gabeur overall

  1. Arsha Nagrani
  2. Paul Hongsuck Seo
  3. Jianwei Yang
  4. Fei Zhao
  5. Medhini Narasimhan
  6. Jes'us Andr'es Portillo-Quintero
  7. Xiaohan Wang
  8. Qingyun Fang
  9. Mandela Patrick
  10. Simon Ging

Papers from Valentin Gabeur's perspective

Ordered by how strongly the researchers Valentin Gabeur 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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