Hidetomo Sakaino

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hidetomo Sakaino trusts overall

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

  1. Marcelo Bertalmío
  2. Thomas Brox
  3. Andrea L. Bertozzi
  4. Andrés Bruhn
  5. Guillermo Sapiro
  6. Roberto Costantini
  7. Nils Papenberg
  8. Joachim Weickert

Papers from Hidetomo Sakaino's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Determining Optical Flow
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers