Neofytos Dimitriou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Neofytos Dimitriou trusts overall

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

  1. Zhi-Hua Zhou
  2. David G. Lowe
  3. Le Hou
  4. Yun Liu
  5. M. Veta
  6. Navneet Dalal
  7. Péter Bándi
  8. Dimitris Samaras
  9. Andrew Janowczyk

Papers from Neofytos Dimitriou's perspective

Ordered by how strongly the researchers Neofytos Dimitriou 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Histograms of oriented gradients for human detection
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers