Yoshiyuki Ohmura

Computer Vision and Pattern Recognition · 2006–2020

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yoshiyuki Ohmura trusts overall

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

  1. Sergey Levine
  2. Alex Krizhevsky
  3. Dean A. Pomerleau
  4. Pieter Abbeel
  5. Geoffrey E. Hinton
  6. Chelsea Finn
  7. Individualized Treat
  8. Ilya Sutskever
  9. Jonathan Ho
  10. Diederik P. Kingma

Who trusts Yoshiyuki Ohmura overall

  1. Philipp Mittendorfer
  2. Ravinder S. Dahiya
  3. Gordon Cheng
  4. Giorgio Metta
  5. Dana Hughes

Papers from Yoshiyuki Ohmura's perspective

Ordered by how strongly the researchers Yoshiyuki Ohmura 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers