Takeaki Uno

Computer Vision and Pattern Recognition · 2004–2007

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Takeaki Uno trusts overall

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

  1. Gösta Grahne
  2. Jiawei Han
  3. Rakesh Agrawal
  4. Douglas Burdick
  5. Krystian Mikolajczyk
  6. Jian Pei
  7. Roberto J. Bayardo Jr.
  8. Jianfei Zhu
  9. Manuel Calimlim
  10. Cordelia Schmid

Who trusts Takeaki Uno overall

  1. Siegfried Nijssen
  2. Élisa Fromont

Papers from Takeaki Uno's perspective

Ordered by how strongly the researchers Takeaki Uno 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers