Antonios Liapis

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Antonios Liapis trusts overall

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

  1. David G. Lowe
  2. Vladimir Naumovich Vapnik
  3. ByoungChul Ko
  4. Navneet Dalal

Papers from Antonios Liapis's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. ImageNet classification with deep convolutional neural networks
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Visualizing and Understanding Convolutional Networks
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers