Engin Tola

Computer Vision and Pattern Recognition · 2008–2016

A researcher in the Science corpus: 4 papers; trusts 95 researchers and is trusted by 379 researchers here, as inferred from the citation graph.

Subfields

Whom Engin Tola trusts overall

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

  1. David G. Lowe
  2. Christopher Evans
  3. Krystian Mikolajczyk
  4. Christoph Strecha
  5. Vladimir Kolmogorov
  6. Yuri Boykov
  7. Cordelia Schmid
  8. Ramin Zabih
  9. Daniel Scharstein
  10. Li Fei-Fei

Who trusts Engin Tola overall

  1. Joan Bruna
  2. Iasonas Kokkinos
  3. Kwang Moo Yi
  4. Jay Yagnik
  5. Gengshan Yang
  6. Fernando De la Torre
  7. Vincent Lepetit
  8. Eduard Trulls
  9. Pascal Fua
  10. Stéphane Mallat

Papers from Engin Tola's perspective

Ordered by how strongly the researchers Engin Tola 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers