Mustafa Ersel Kamasak

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mustafa Ersel Kamasak trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Wei Li
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Christian Szegedy
  8. Karen Simonyan
  9. Liang Zheng
  10. Yann LeCun

Papers from Mustafa Ersel Kamasak's perspective

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

Their papers