Ryan Geiss

Computer Vision and Pattern Recognition · 2016

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 Ryan Geiss trusts overall

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

  1. Kostadin Dabov
  2. John P. Lewis

Who trusts Ryan Geiss overall

  1. Ben Mildenhall

Papers from Ryan Geiss's perspective

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

  1. An Iterative Image Registration Technique with an Application to Stereo Vision
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Determining Optical Flow
  4. ImageNet classification with deep convolutional neural networks
  5. A Database and Evaluation Methodology for Optical Flow
  6. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
  7. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
  8. SIFT Flow: Dense Correspondence across Scenes and Its Applications
  9. Object scene flow for autonomous vehicles
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers