Cem Keskin

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 9 papers; trusts 208 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Cem Keskin trusts overall

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

  1. Jamie Shotton
  2. Ross B. Girshick
  3. Yann LeCun
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Dorin Comaniciu
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. David G. Lowe
  10. Trevor J. Hastie

Who trusts Cem Keskin overall

  1. Markus Oberweger
  2. Hui Liang
  3. J. Laviola
  4. Paul Wohlhart
  5. Liuhao Ge
  6. Junsong Yuan
  7. Gyeongsik Moon
  8. Jonathan Taylor
  9. Graham W. Taylor
  10. Vincent Lepetit

Papers from Cem Keskin's perspective

Ordered by how strongly the researchers Cem Keskin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers