Thomas Kolonko

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Kolonko trusts overall

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

  1. Kaiming He

Papers from Thomas Kolonko's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. Gradient-based learning applied to document recognition
  8. Densely Connected Convolutional Networks
  9. Visualizing and Understanding Convolutional Networks
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers