Mathieu Lamard

Computer Vision and Pattern Recognition · 2008–2016

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mathieu Lamard trusts overall

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

  1. David E. Goldberg
  2. Meindert Niemeijer
  3. Yongbum Lee

Who trusts Mathieu Lamard overall

  1. Sohini Roychowdhury

Papers from Mathieu Lamard's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Visualizing and Understanding Convolutional Networks
  4. Maxout Networks
  5. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  8. Gradient-based learning applied to document recognition
  9. Automatic detection of red lesions in digital color fundus photographs (IEEE Transactions on Medical Imaging)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers