Hideaki Uchiyama

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 195 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hideaki Uchiyama trusts overall

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

  1. Jakob J. Engel
  2. Georg S. W. Klein
  3. David Nistér
  4. Andrew J. Davison
  5. Richard A. Newcombe
  6. Daniel Cremers
  7. Jürgen Sturm
  8. Hauke Strasdat
  9. David William Murray
  10. David G. Lowe

Who trusts Hideaki Uchiyama overall

  1. Andréa Macario Barros

Papers from Hideaki Uchiyama's perspective

Ordered by how strongly the researchers Hideaki Uchiyama 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers