David Gschwend

Computer Vision and Pattern Recognition · 2015

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

Subfields

Whom David Gschwend trusts overall

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

  1. Clément Farabet
  2. Ronan Collobert
  3. Stephen Gould
  4. Yann LeCun
  5. Pierre Sermanet

Who trusts David Gschwend overall

  1. Yu-hsin Chen
  2. Renzo Andri

Papers from David Gschwend's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. ImageNet classification with deep convolutional neural networks
  3. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Torch7: A Matlab-like Environment for Machine Learning
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers