Lior Shapira

Computer Vision and Pattern Recognition · 2008–2014

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Lior Shapira trusts overall

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

  1. Sagi Katz
  2. Marco Attene
  3. Huaiyu Zhu
  4. Rong Liu
  5. Nikos A. Vlassis
  6. Ayellet Tal
  7. Bianca Falcidieno
  8. Serge J. Belongie
  9. Yuri Boykov
  10. Ariel Shamir

Who trusts Lior Shapira overall

  1. Siddhartha Chaudhuri
  2. Evangelos Kalogerakis
  3. Vladlen Koltun
  4. Aleksey Golovinskiy
  5. Qi-Xing Huang
  6. Thomas A. Funkhouser
  7. Xiaobai Chen
  8. Silvia Biasotti
  9. Yunhai Wang
  10. Vladimir G. Kim

Papers from Lior Shapira's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers