Takaaki Shiratori

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 295 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Takaaki Shiratori trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Hanbyul Joo
  4. Geoffrey E. Hinton
  5. Angjoo Kanazawa
  6. Georgios Pavlakos
  7. Alex Krizhevsky
  8. Christiane Zimmermann
  9. Dimitrios Tzionas
  10. Tomas Simon

Who trusts Takaaki Shiratori overall

  1. Yana Hasson
  2. Zhe Cao

Papers from Takaaki Shiratori's perspective

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

Their papers