Hiroshi Muraoka

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroshi Muraoka trusts

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

  1. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  2. Bill Triggs (in Computer Vision and Pattern Recognition)
  3. Navneet Dalal (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Hiroshi Muraoka's perspective

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

  1. Histograms of oriented gradients for human detection
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Object Detection with Discriminatively Trained Part Based Models
  4. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  5. Objects in Context
  6. Discriminative Models for Multi-Class Object Layout
  7. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  8. Recognition using visual phrases
  9. Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
  10. Sharing features: efficient boosting procedures for multiclass object detection (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)

Their papers