Seiji Ishikawa

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seiji Ishikawa trusts overall

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

  1. Ivan Laptev

Papers from Seiji Ishikawa's perspective

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

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. On Space-Time Interest Points
  5. An Iterative Image Registration Technique with an Application to Stereo Vision
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers