Yuya Yamashita

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 Yuya Yamashita 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 Yuya Yamashita's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Histograms of oriented gradients for human detection
  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. ImageNet classification with deep convolutional neural networks
  6. Objects in Context
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Discriminative Models for Multi-Class Object Layout
  9. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  10. Gradient-based learning applied to document recognition

Their papers