John H. L. Hansen

Computer Vision and Pattern Recognition · with Miyajima · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom John H. L. Hansen trusts overall

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

  1. Katja Kircher
  2. Mathews Jacob
  3. Kaiming He

Who trusts John H. L. Hansen overall

  1. Ekim Yurtsever
  2. Jacob Lambert

Papers from John H. L. Hansen's perspective

Ordered by how strongly the researchers John H. L. Hansen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Microsoft COCO: Common Objects in Context
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Mask R-CNN
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers