Hiroya Maeda

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 3 papers; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroya Maeda trusts overall

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

  1. David G. Lowe
  2. Ross B. Girshick
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Navneet Dalal
  7. Christian Szegedy
  8. Shaoqing Ren
  9. Yann LeCun
  10. Joseph Redmon

Who trusts Hiroya Maeda overall

  1. Yoshihide Sekimoto

Papers from Hiroya Maeda's perspective

Ordered by how strongly the researchers Hiroya Maeda 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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