Thomas Esch

Computer Vision and Pattern Recognition · 2002–2019

A researcher in the Science corpus: 31 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Esch trusts overall

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

  1. Pierre Sermanet

Who trusts Thomas Esch overall

  1. R. Langtry
  2. F. Menter
  3. J. Coder
  4. Brecht Devolder
  5. Chaopeng Shen
  6. Jamie Sherrah
  7. Liangpei Zhang

Papers from Thomas Esch's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Et al
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  5. Gradient-based learning applied to document recognition
  6. Extracting and composing robust features with denoising autoencoders
  7. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  8. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers