Yasushi Makihara

Computer Vision and Pattern Recognition · 2002–2018

A researcher in the Science corpus: 6 papers; trusts 220 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Yasushi Makihara trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Khalid Bashir
  4. Sudeep Sarkar
  5. Ilya Sutskever
  6. Ju Han
  7. L. Eon Bottou
  8. Yoshua Bengio
  9. Kaiming He
  10. Yann LeCun

Who trusts Yasushi Makihara overall

  1. Hanqing Chao
  2. Noriko Takemura
  3. Zifeng Wu
  4. Kohei Shiraga
  5. Jian Luo
  6. Yiwei He
  7. Haruyuki Iwama
  8. Daigo Muramatsu
  9. Shuai Zheng
  10. Sherif Azary

Papers from Yasushi Makihara's perspective

Ordered by how strongly the researchers Yasushi Makihara 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers