Marc Chaumont

Computer Vision and Pattern Recognition · 2008–2018

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Chaumont trusts overall

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

  1. Jessica J. Fridrich
  2. Jan Kodovský
  3. Sergey Ioffe
  4. Xavier Glorot
  5. Kaiming He
  6. Vojtech Holub
  7. Yoshua Bengio
  8. Christian Szegedy
  9. Min Lin

Who trusts Marc Chaumont overall

  1. Pauline Puteaux
  2. Zhenxing Qian
  3. Xinpeng Zhang
  4. Y. Shi

Papers from Marc Chaumont's perspective

Ordered by how strongly the researchers Marc Chaumont 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Understanding the difficulty of training deep feedforward neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers