Mehmet Ali Arabaci

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mehmet Ali Arabaci trusts overall

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

  1. Christopher K. I. Williams
  2. Gunnar Farnebäck
  3. Yoav Freund
  4. Mehmet Gönen
  5. Piotr Doll'ar
  6. Ivan Laptev
  7. William M. Campbell
  8. Robert E. Schapire
  9. Ethem Alpaydin
  10. Cordelia Schmid

Papers from Mehmet Ali Arabaci's perspective

Ordered by how strongly the researchers Mehmet Ali Arabaci 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers