M. Uzunbas

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 3 papers; trusts 227 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Uzunbas trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Andrew Zisserman
  10. Ilya Sutskever

Papers from M. Uzunbas's perspective

Ordered by how strongly the researchers M. Uzunbas 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers