Jun Miura

Computer Vision and Pattern Recognition · 2002–2019

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Miura trusts overall

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

  1. Carsten Rother
  2. Eric A. Wan
  3. Wonho Kang
  4. Martin Magnusson
  5. Fan Li
  6. Vladimir Kolmogorov

Who trusts Jun Miura overall

  1. Han Wang

Papers from Jun Miura's perspective

Ordered by how strongly the researchers Jun Miura 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. "GrabCut": interactive foreground extraction using iterated graph cuts
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers