I. Bajić

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom I. Bajić trusts overall

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

  1. J. Kolter
  2. Shuo Yang

Who trusts I. Bajić overall

  1. Srinivas S. S. Kruthiventi
  2. Ping Hu
  3. Vincent Sitzmann

Papers from I. Bajić's perspective

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

Their papers