Koki Nagano

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 334 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Koki Nagano trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Tero Karras
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Yann LeCun
  8. Alexei A. Efros
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Koki Nagano overall

  1. Yisroel Mirsky
  2. Nantheera Anantrasirichai
  3. Ting-Chun Wang
  4. David Bau
  5. Peng Wang
  6. Lingzhi Li
  7. Hany Farid
  8. Haotian Yang
  9. Wenke Lee
  10. D. Bull

Papers from Koki Nagano's perspective

Ordered by how strongly the researchers Koki Nagano 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers