Gencer Sumbul

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Gencer Sumbul trusts overall

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

  1. Yi Yang
  2. Christian Szegedy
  3. Shawn D. Newsam
  4. Sergey Ioffe
  5. Vincent Vanhoucke
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky

Who trusts Gencer Sumbul overall

  1. Vladan Stojnić
  2. Thorsten Hoeser
  3. Stefano Vincenzi
  4. Chao Tao
  5. Yi Wang
  6. Favyen Bastani
  7. Oscar Mañas
  8. Mat'ias Mendieta
  9. Yezhen Cong
  10. Vladimir Risojevic

Papers from Gencer Sumbul's perspective

Ordered by how strongly the researchers Gencer Sumbul 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers