Michele Fenzi left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.
I obtained both my bachelor and master degrees in Telecommunications Engineering from the University of Florence, Italy. In 2009, I wrote my master's thesis during a six-month internship at the Center for Advanced Security Research Darmstadt (CASED), Germany. Since September 2010, I have been working towards a PhD degree at the Institut für Informationsverarbeitung.
My main research interest focuses on feature-based pose estimation problems for object classes. I have been researching on methods for finding a continuous solution by relying only on 2D information without using 3D training data or model. I investigated the use of artificial neural networks to model the relation between viewpoint and feature descriptor. Furthermore, I have studied how to apply graph matching techniques to enforce geometrical consistency, as well as Linear Programming to integrate temporal information in this framework. In parallel to my main research track, I am also interested in multiple people tracking problems and video surveillance problems.
My updated profile on Google Scholar.
- Pose Estimation
- Object Detection
- Object Classification
- Video Surveillance Applications
- Sergi Segura Morros, "3D Object Recognition and Pose Estimation using Feature Descriptor Regression in a Bayes' Framework", March-August 2012
Show selected publications only
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors
IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015
Pose Estimation of Object Categories in Videos Using Linear Programming
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, Hawaii, USA, January 2015
Embedding Geometry in Generative Models for Pose Estimation of Object Categories
British Machine Vision Conference (BMVC), accepted as oral presentation, Nottingham, United Kingdom, September 2014
Automatic Situation Assessment for Event-driven Video Analysis
IEEE International Conference on Advanced Video Signal-Based Surveillance (AVSS), accepted as oral presentation , Seoul, South Korea, August 2014
Learning an Image-based Motion Context for Multiple People Tracking
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014
Multi-target tracking with context from interaction feature strings
SUNw: Scene Understanding Workshop at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014
Class Generative Models based on Feature Regression for Pose Estimation of
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 2013
3D Object Recognition and Pose Estimation for Multiple Objects using Multi-Prioritized RANSAC and Model Updating
Annual Symposium of the German Association for Pattern Recognition (DAGM), accepted as oral presentation , Graz, Austria, August 2012
Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance
Theoretic Foundations of Computer Vision: Outdoor and Large-Scale Real-World Scene Analysis, April 2012
Markov Random Fields Pre-Warping to Prevent Collusion in Image Transaction Watermarking
IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA), Best Paper Award, Innsbruck, Austria, February 2010