Eli Konen

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eli Konen 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 Eli Konen's perspective

Ordered by how strongly the researchers Eli Konen 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. Fully convolutional networks for semantic segmentation
  5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  8. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  9. Visual categorization with bags of keypoints
  10. Learning Deconvolution Network for Semantic Segmentation

Their papers