G. Fernández-Esparrach

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom G. Fernández-Esparrach trusts overall

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

  1. Christof Koch

Who trusts G. Fernández-Esparrach overall

  1. Debesh Jha
  2. Md Mostafijur Rahman
  3. Xiaoqi Zhao
  4. Ange Lou
  5. Yundong Zhang
  6. Kristoffer Wickstrøm
  7. Tao Zhou
  8. Deng-Ping Fan

Papers from G. Fernández-Esparrach's perspective

Ordered by how strongly the researchers G. Fernández-Esparrach trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Microsoft COCO: Common Objects in Context
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Fully convolutional networks for semantic segmentation
  6. Densely Connected Convolutional Networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Caffe: Convolutional Architecture for Fast Feature Embedding
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Gradient-based learning applied to document recognition

Their papers