Atsuhiro Noguchi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 253 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Atsuhiro Noguchi trusts overall

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

  1. Karen Simonyan
  2. Diederik P. Kingma
  3. Andrew Zisserman
  4. Sergey Ioffe
  5. Takeru Miyato
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. George A. Miller
  9. Christian Szegedy
  10. Kaiming He

Who trusts Atsuhiro Noguchi overall

  1. Miaoyun Zhao
  2. Yulai Cong
  3. Akihiro Nakamura
  4. Juwon Seo
  5. Bingchen Liu
  6. Esther Robb
  7. Lawrence Carin
  8. Hung-Yu Tseng
  9. Yaxing Wang
  10. Ceyuan Yang

Papers from Atsuhiro Noguchi's perspective

Ordered by how strongly the researchers Atsuhiro Noguchi 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers