Atsushi Tatsuma

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 5 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Atsushi Tatsuma trusts overall

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

  1. David G. Lowe
  2. Li Fei-Fei
  3. Josef Sivic
  4. Thomas A. Funkhouser
  5. Florent Perronnin
  6. Andrew Zisserman
  7. Philip Shilane
  8. Raoul Wessel
  9. M. Kazhdan
  10. Subramaniam Jayanti

Who trusts Atsushi Tatsuma overall

  1. Xingchao Peng
  2. Silvia Biasotti
  3. Song Bai
  4. Ben Usman
  5. Laura Downs
  6. Angel X. Chang
  7. Berk Çalli
  8. Neela Kaushik
  9. Andrea Cerri
  10. Xiang Bai

Papers from Atsushi Tatsuma's perspective

Ordered by how strongly the researchers Atsushi Tatsuma 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers