Hajime Hoashi

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hajime Hoashi trusts overall

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

  1. Matthijs C. Dorst
  2. Svetlana Lazebnik
  3. Pedro F. Felzenszwalb
  4. Yining Deng
  5. Alaa E. Abdel-Hakim
  6. Andrea Vedaldi
  7. Ross B. Girshick
  8. Sören Sonnenburg
  9. Cordelia Schmid
  10. Vivek Seshadri

Who trusts Hajime Hoashi overall

  1. Keiji Yanai
  2. José Antonio Naranjo-Torres

Papers from Hajime Hoashi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Histograms of oriented gradients for human detection
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Their papers