Tristan Perez

Computer Vision and Pattern Recognition · with Dayoub · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tristan Perez trusts

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

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Justin Domke (in Artificial Intelligence)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Bill Triggs (in Computer Vision and Pattern Recognition)
  7. Navneet Dalal (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. C. Lawrence Zitnick (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Tristan Perez's perspective

Ordered by how strongly the researchers Tristan Perez 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. Histograms of oriented gradients for human detection
  4. Going deeper with convolutions
  5. Visualizing and Understanding Convolutional Networks
  6. Fast R-CNN
  7. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  8. Visualizing Data using t-SNE
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Selective Search for Object Recognition

Their papers