Hiroaki Sasaki

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 75 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroaki Sasaki trusts overall

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

  1. Aapo Hyvärinen
  2. Geoffrey E. Hinton
  3. Dorin Comaniciu
  4. Theodoros Evgeniou
  5. Michael U Gutmann
  6. Keinosuke Fukunaga
  7. Robert T. Collins
  8. Andrew Y. Ng
  9. Jianbo Shi
  10. Yoshua Bengio

Who trusts Hiroaki Sasaki overall

  1. Francesco Locatello
  2. Yang Song
  3. Yingzhen Li
  4. Sindy Löwe
  5. Ikko Yamane
  6. Wenliang Li
  7. Tianyu Pang
  8. Peter Sorrenson
  9. Richard E. Turner
  10. Yu Zhang

Papers from Hiroaki Sasaki's perspective

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

Their papers