Michel Gangnet

Computer Vision and Pattern Recognition · 2002–2003

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1,820 researchers here, as inferred from the citation graph.

Subfields

Whom Michel Gangnet trusts overall

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

  1. Marcelo Bertalmío

Who trusts Michel Gangnet overall

  1. Kaiming He
  2. Ce Liu
  3. Andrew Zisserman
  4. Ming-Hsuan Yang
  5. Yuval Nirkin
  6. Andrea Vedaldi
  7. Anh Tuan Tran
  8. Martin Danelljan
  9. Richard Szeliski
  10. Luc Van Gool

Papers from Michel Gangnet's perspective

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

  1. Image inpainting
  2. A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)
  3. Real-time tracking of non-rigid objects using mean shift (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  4. On sequential Monte Carlo sampling methods for Bayesian filtering
  5. Image Analogies
  6. Lightness and retinex theory.
  7. BraMBLe: a Bayesian multiple-blob tracker (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
  8. Sparse matrix solvers on the GPU: conjugate gradients and multigrid (SIGGRAPH Courses)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers