Sivan Lieberman

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sivan Lieberman trusts

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

  1. Antonio Torralba (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Aude Oliva (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  5. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Sivan Lieberman's perspective

Ordered by how strongly the researchers Sivan Lieberman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  4. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  5. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  6. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  7. Visual categorization with bags of keypoints
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers