M. Zervakis

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom M. Zervakis trusts overall

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

  1. Nikos Paragios
  2. Sepp Hochreiter
  3. Margrit Betke
  4. C. Thorpe

Who trusts M. Zervakis overall

  1. Luo-Wei Tsai

Papers from M. Zervakis's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Fully convolutional networks for semantic segmentation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Visualizing and Understanding Convolutional Networks
  7. Deep Learning
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers