Jacques Marescaux

Computer Vision and Pattern Recognition · 2001–2016

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacques Marescaux trusts overall

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

  1. Ross B. Girshick

Papers from Jacques Marescaux's perspective

Ordered by how strongly the researchers Jacques Marescaux 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers