Michele Fenzi

According to our database, Michele Fenzi authored at least 11 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Object-Level Targeted Selection via Deep Template Matching.

Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2020

Scalable Active Learning for Object Detection.

Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2016

Feature regression for continuous pose estimation of object categories.

Michele Fenzi

PhD thesis, 2016

2015

Pose Estimation of Object Categories in Videos Using Linear Programming.

Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors.

Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann, Tinne Tuytelaars

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Learning an Image-Based Motion Context for Multiple People Tracking.

Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Embedding Geometry in Generative Models for Pose Estimation of Object Categories.

Michele Fenzi, Jörn Ostermann

Proceedings of the British Machine Vision Conference, 2014

ASEV - Automatic situation assessment for event-driven video analysis.

Michele Fenzi, Jörn Ostermann, Nico Mentzer, Guillermo Payá Vayá, Holger Blume, Tu Ngoc Nguyen, Thomas Risse

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013

Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories.

Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating.

Michele Fenzi, Ralf Dragon, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann

Proceedings of the Pattern Recognition, 2012

2011

Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance.

Ralf Dragon, Michele Fenzi, Wolf Siberski, Bodo Rosenhahn, Jörn Ostermann

Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011