Vincent Casser

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 280 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Casser trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. David G. Lowe
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Alexey Dosovitskiy
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. J. Urgen Schmidhuber

Who trusts Vincent Casser overall

  1. Marvin Klingner
  2. Vitor Campanholo Guizilini
  3. Jamie Watson
  4. Chaoqiang Zhao
  5. Xuan Luo
  6. Chenxu Luo
  7. Jonathan Tremblay
  8. Lukas Liebel
  9. Elia Kaufmann
  10. Oisin Mac Aodha

Papers from Vincent Casser's perspective

Ordered by how strongly the researchers Vincent Casser 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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