Antonio Barbalau

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Antonio Barbalau trusts overall

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

  1. Mohammad Sabokrou
  2. Radu Tudor Ionescu
  3. Yang Cong
  4. Joseph Redmon
  5. Jaechul Kim
  6. Venkatesh Saligrama
  7. Waqas Sultani
  8. Trong-Nguyen Nguyen
  9. Kaiming He
  10. Mubarak Shah

Papers from Antonio Barbalau's perspective

Ordered by how strongly the researchers Antonio Barbalau 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Microsoft COCO: Common Objects in Context
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers