Takumi Karasawa

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Takumi Karasawa trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Sergey Ioffe
  5. Ross B. Girshick
  6. Christian Szegedy
  7. Yann LeCun
  8. Andrew L. Maas
  9. Karen Simonyan
  10. Yoshua Bengio

Who trusts Takumi Karasawa overall

  1. Jiayi Ma
  2. Rui Fan

Papers from Takumi Karasawa's perspective

Ordered by how strongly the researchers Takumi Karasawa 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 Large Scale Visual Recognition Challenge
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers