Raphael V. Carneiro

Computer Vision and Pattern Recognition · 2019

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

Subfields

Whom Raphael V. Carneiro trusts overall

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

  1. Sebastian Thrun

Papers from Raphael V. Carneiro's perspective

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

  1. SSD: Single Shot MultiBox Detector
  2. ImageNet classification with deep convolutional neural networks
  3. Junior: The Stanford entry in the Urban Challenge
  4. Histograms of oriented gradients for human detection
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Model based vehicle detection and tracking for autonomous urban driving
  7. Robust vehicle localization in urban environments using probabilistic maps
  8. ImageNet: A large-scale hierarchical image database
  9. Probabilistic robotics
  10. Gradient-based learning applied to document recognition

Their papers