Eldad Elnekave

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eldad Elnekave trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Trevor Darrell (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Yann LeCun (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  9. Jeff Donahue (in Computer Vision and Pattern Recognition)
  10. Jonathan Long (in Computer Vision and Pattern Recognition)

Papers from Eldad Elnekave's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Rethinking the Inception Architecture for Computer Vision
  5. Fully convolutional networks for semantic segmentation
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers