Vincent Leroy

Computer Vision and Pattern Recognition · with Cabon · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 389 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Leroy trusts overall

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

  1. David G. Lowe
  2. Johannes L. Schönberger
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Jérôme Revaud
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Vincent Leroy overall

  1. Wangbo Yu
  2. Qianqian Wang

Papers from Vincent Leroy's perspective

Ordered by how strongly the researchers Vincent Leroy 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  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