Hidenobu Matsuki

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hidenobu Matsuki trusts overall

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

  1. Thomas Whelan
  2. Jakob J. Engel
  3. Michael Niemeyer
  4. Bernhard Kerbl
  5. Georgios Kopanas
  6. Jonathon Luiten
  7. Edgar Sucar
  8. Jiaxiang Tang
  9. Alex Yu
  10. Vladlen Koltun

Papers from Hidenobu Matsuki's perspective

Ordered by how strongly the researchers Hidenobu Matsuki 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers