Orit Kliper-Gross

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 4 papers; trusts 550 researchers and is trusted by 122 researchers here, as inferred from the citation graph.

Subfields

Whom Orit Kliper-Gross trusts overall

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

  1. Ivan Laptev
  2. Lior Wolf
  3. Eli Shechtman
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Kaiming He
  7. Chih-Jen Lin
  8. Cordelia Schmid
  9. Yoshua Bengio
  10. Andrew Zisserman

Who trusts Orit Kliper-Gross overall

  1. Tal Hassner
  2. Du Tran
  3. Xiaojiang Peng
  4. Yu Qiao
  5. Limin Wang
  6. Yair Hanani
  7. Lubomir D. Bourdev
  8. Lior Wolf
  9. Rob Fergus
  10. Zhaofan Qiu

Papers from Orit Kliper-Gross's perspective

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

Their papers