Jérôme Berclaz

According to our database1, Jérôme Berclaz authored at least 13 papers between 2005 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2017
Space-Time Graph Modeling of Ride Requests Based on Real-World Data.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Efficient Large-Scale Point Cloud Registration Using Loop Closures.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
Multi-Commodity Network Flow for Tracking Multiple People.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

2012
3D City Modeling from Street-Level Data for Augmented Reality Applications.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
Multiple Object Tracking Using K-Shortest Paths Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Tracking multiple people under global appearance constraints.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Pedestrian localization, tracking and behavior analysis from multiple cameras.
PhD thesis, 2010

2008
Multicamera People Tracking with a Probabilistic Occupancy Map.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Principled Detection-by-Classification From Multiple Views.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps.
Proceedings of the Computer Vision, 2008

2007
Robust Multi-View Change Detection.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Robust People Tracking with Global Trajectory Optimization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Noise-robust double-talk detection based on normalized cross correlation and a noise offset.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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