Panos Nasiopoulos

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 4 papers; trusts 299 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Panos Nasiopoulos trusts overall

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

  1. Ivan Laptev
  2. Cordelia Schmid
  3. Geoffrey E. Hinton
  4. Li Fei-Fei
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yann LeCun
  9. Abhinav Kumar Gupta
  10. David G. Lowe

Papers from Panos Nasiopoulos's perspective

Ordered by how strongly the researchers Panos Nasiopoulos 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers