Michel de Mathelin

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michel de Mathelin trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Trevor Darrell (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  5. Jeff Donahue (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Michel de Mathelin's perspective

Ordered by how strongly the researchers Michel de Mathelin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Object Detection with Discriminatively Trained Part Based Models
  5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. High-dimensional signature compression for large-scale image classification
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers