Yoshifumi Nishida

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 3 papers; trusts 251 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yoshifumi Nishida trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Andrew Zisserman
  6. Ilya Sutskever
  7. David G. Lowe
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Yoshifumi Nishida overall

  1. Zhizhong Han
  2. Quentin De Coninck
  3. Huili Huang

Papers from Yoshifumi Nishida's perspective

Ordered by how strongly the researchers Yoshifumi Nishida 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers