Ray Hidayat

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ray Hidayat trusts overall

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

  1. John F. Canny
  2. David R. Martin
  3. Cosmin Grigorescu
  4. Charless C. Fowlkes
  5. N. Petkov
  6. Jitendra Malik
  7. Piotr Doll'ar
  8. Michel A. Westenberg
  9. Jamie Shotton
  10. Doron Tal

Who trusts Ray Hidayat overall

  1. Piotr Doll'ar

Papers from Ray Hidayat's perspective

Ordered by how strongly the researchers Ray Hidayat trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  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