Takuma Yagi

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Takuma Yagi trusts overall

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

  1. Diederik P. Kingma
  2. Hyun Soo Park
  3. Geoffrey E. Hinton
  4. Sergey Ioffe
  5. Vinod Nair
  6. Alireza Fathi
  7. Christian Szegedy
  8. Michael S. Ryoo
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts Takuma Yagi overall

  1. Yicheng Liu
  2. Junwei Liang
  3. Chenyou Fan
  4. Lu Jiang

Papers from Takuma Yagi's perspective

Ordered by how strongly the researchers Takuma Yagi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers