Lee M. Seversky

Computational Mechanics · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lee M. Seversky trusts overall

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

  1. Nina Amenta
  2. Frédéric Cazals

Papers from Lee M. Seversky's perspective

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

  1. Reconstruction and representation of 3D objects with radial basis functions
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. A Survey on Shape Correspondence
  5. Estimating surface normals in noisy point cloud data
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. ImageNet: A large-scale hierarchical image database

Their papers