Towaki Takikawa

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 318 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Towaki Takikawa trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Liang-Chieh Chen
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Towaki Takikawa overall

  1. Xiaokang Chen
  2. Yuhui Yuan
  3. F. Sultana
  4. Jiacong Xu
  5. Jongmok Kim
  6. Matthew Tancik
  7. Hengyi Wang
  8. Peng Jiang
  9. Hengli Wang
  10. J. Liew

Papers from Towaki Takikawa's perspective

Ordered by how strongly the researchers Towaki Takikawa 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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