Eugene Fluder

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eugene Fluder trusts overall

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

  1. Geoffrey E. Hinton

Papers from Eugene Fluder's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. ImageNet classification with deep convolutional neural networks
  5. A Fast Learning Algorithm for Deep Belief Nets
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  8. Fast R-CNN
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers