J. Itami

Computer Vision and Pattern Recognition · 2004–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Itami trusts

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

  1. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from J. Itami's perspective

Ordered by how strongly the researchers J. Itami 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. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. GENERATIVE ADVERSARIAL NETS
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. Improved Techniques for Training GANs
  9. Rethinking the Inception Architecture for Computer Vision
  10. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Their papers