Antoine Monnet

Proceedings Ninth IEEE International Conference on Computer Vision · 2003

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 11 researchers here, as inferred from the citation graph.

Whom Antoine Monnet trusts overall

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

  1. Matthew Brand
  2. J. Weng
  3. Gianfranco Doretto
  4. Yilu Zhang
  5. Alessandro Chiuso

Who trusts Antoine Monnet overall

  1. Yaser Sheikh
  2. Marko Heikkilä
  3. James W. Davis
  4. Anurag Mittal
  5. Jacinto Carlos Nascimento
  6. Xiaowei Zhou
  7. Zoran Zivkovic
  8. Zhi Zhang
  9. Dilip K. Prasad
  10. Mubarak Shah

Papers from Antoine Monnet's perspective

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

  1. Dynamic Textures
  2. Image Segmentation in Video Sequences: A Probabilistic Approach
  3. Candid Covariance-Free Incremental Principal Component Analysis
  4. Robust principal component analysis for computer vision (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
  5. A hierarchical approach to robust background subtraction using color and gradient information (Workshop on Motion and Video Computing, 2002. Proceedings.)
  6. ImageNet classification with deep convolutional neural networks
  7. Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Incremental Singular Value Decomposition of Uncertain Data with Missing Values
  10. Gradient-based learning applied to document recognition

Their papers