Torben Johansen

Computer Vision and Pattern Recognition · 2021

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 Torben Johansen trusts overall

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

  1. Richard Szeliski
  2. Andriy Myronenko

Papers from Torben Johansen's perspective

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

  1. Computer Vision - Algorithms and Applications
  2. Point Set Registration: Coherent Point Drift (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. GENERATIVE ADVERSARIAL NETS
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers