Cagdas Bas

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Cagdas Bas trusts overall

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

  1. David G. Lowe
  2. Bangpeng Yao
  3. Lubomir D. Bourdev
  4. Bogdan Alexe
  5. Jitendra Malik
  6. Yixin Chen
  7. Li Fei-Fei
  8. Cordelia Schmid
  9. Abhinav Kumar Gupta
  10. Geoffrey E. Hinton

Who trusts Cagdas Bas overall

  1. Guo-qing Guo

Papers from Cagdas Bas's perspective

Ordered by how strongly the researchers Cagdas Bas 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers