Tan Nguyen

Computer Vision and Pattern Recognition · with Bian · 2017

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 Tan Nguyen trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Tan Nguyen's perspective

Ordered by how strongly the researchers Tan Nguyen 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. A Comparison of Affine Region Detectors
  3. Determining Optical Flow
  4. LIFT: Learned Invariant Feature Transform
  5. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
  6. A decision-theoretic generalization of on-line learning and an application to boosting
  7. EpicFlow: Edge-preserving interpolation of correspondences for optical flow
  8. Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality
  9. DeepFlow: Large Displacement Optical Flow with Deep Matching
  10. Lucas-Kanade 20 Years On: A Unifying Framework (International Journal of Computer Vision)

Their papers