Akihiko Yoshizawa

Computer Vision and Pattern Recognition · 2007–2019

A researcher in the Science corpus: 5 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Akihiko Yoshizawa trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. François Chollet
  4. Ilya Sutskever
  5. Timothy Dozat
  6. Kaiming He
  7. Yann LeCun
  8. Yoshua Bengio
  9. Liang-Chieh Chen
  10. Ross B. Girshick

Who trusts Akihiko Yoshizawa overall

  1. Hiroki Tokunaga

Papers from Akihiko Yoshizawa's perspective

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

Their papers