Ali Taleghani
Artificial Intelligence · 2004
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #15,847 of 35,345 by trust here, #10,942 by citations
Whom Ali Taleghani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ali Taleghani overall
- Zdenek Kalal
- Michael D. Breitenstein
- Saad M. Khan
- Bastian Leibe
- Willie Neiswanger
- Gabriel J. Brostow
- Markus Enzweiler
- Andreas Ess
- Konrad Schindler
- Deva Ramanan
Papers from Ali Taleghani's perspective
Ordered by how strongly the researchers Ali Taleghani trusts endorse each paper. Same corpus, a different order for every researcher.
- The Unscented Particle Filter
- Color-Based Probabilistic Tracking (European Conference on Computer Vision)
- Sequential Monte Carlo Methods in Practice
- BraMBLe: a Bayesian multiple-blob tracker (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
- Sequential Monte Carlo Methods in Practice
- Real-time tracking of non-rigid objects using mean shift (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
- Tracking multiple objects with particle filtering
- A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)
- Rapid object detection using a boosted cascade of simple features
- Maintaining multimodality through mixture tracking (Proceedings Ninth IEEE International Conference on Computer Vision)
Their papers
- A Boosted Particle Filter: Multitarget Detection and Tracking (2004) — 1,227 citations