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Michele Fenzi
Michele Fenzi
Bestätigte E-Mail-Adresse bei nvidia.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning an image-based motion context for multiple people tracking
L Leal-Taixé, M Fenzi, A Kuznetsova, B Rosenhahn, S Savarese
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
2962014
Scalable active learning for object detection
E Haussmann, M Fenzi, K Chitta, J Ivanecky, H Xu, D Roy, A Mittel, ...
2020 IEEE intelligent vehicles symposium (iv), 1430-1435, 2020
1352020
Class Generative Models based on Feature Regression for Pose Estimation of Object Categories
M Fenzi, L Leal-Taixé, B Rosenhahn, J Ostermann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
432013
3D Object Recognition and Pose Estimation for Multiple Objects using Multi-Prioritized RANSAC and Model Updating
M Fenzi, R Dragon, L Leal-Taixé, B Rosenhahn, J Ostermann
34th Annual Symposium of the German Association for Pattern Recognition …, 2012
222012
Embedding Geometry in Generative Models for Pose Estimation of Object Categories
M Fenzi, J Ostermann
British Machine Vision Conference (BMVC), 2014
122014
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors
M Fenzi, L Leal-Taixé, J Ostermann, T Tuytelaars
IEEE International Conference on Computer Vision (ICCV), 2015
112015
Scalable semantic image retrieval with deep template matching
ROY Donna, S Kothawade, E Haussmann, JMA Lopez, M Fenzi, ...
US Patent App. 17/226,584, 2022
102022
ASEV - Automatic Situation Assessment for Event-driven Video Analysis
M Fenzi, J Ostermann, N Mentzer, G Payá-Vayá, H Blume, TN Nguyen, ...
11th IEEE Conference on Advance Video and Signal-Based Surveillance (AVSS), 2014
102014
Akshita Mittel, Nicolas Koumchatzky, Clement Farabet, and Jose M
E Haussmann, M Fenzi, K Chitta, J Ivanecky, H Xu, D Roy
Alvarez. Scalable active learning for object detection, 2020
52020
Akshita Mittel, Nicolas Koumchatzky, Clement Farabet, and Jose M. Alvarez. 2020. Scalable Active Learning for Object Detection
E Haussmann, M Fenzi, K Chitta, J Ivanecky, H Xu, D Roy
2020 IEEE Intelligent Vehicles Symposium (IV), 1430-1435, 0
4
Object data curation of map information using neural networks for autonomous systems and applications
C Angerer, M Fenzi, N Haramati, O Tonkal, S Kothawade
US Patent App. 17/689,799, 2023
32023
Pose Estimation of Object Categories in Videos Using Linear Programming
M Fenzi, L Leal-Taixé, K Schindler, J Ostermann
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
32015
Object-level targeted selection via deep template matching
S Kothawade, D Roy, M Fenzi, E Haussmann, JM Alvarez, C Angerer
2022 IEEE Intelligent Vehicles Symposium (IV), 766-771, 2022
22022
Towards Feature-based Situation Assessment for Airport Apron Video Surveillance
R Dragon, M Fenzi, W Siberski, B Rosenhahn, J Ostermann
Theoretical Foundations of Computer Vision: Dagstuhl, 110-130, 2012
22012
Markov Random Fields Pre-Warping to Prevent Collusion in Image Transaction Watermarking
M Fenzi, H Liu, M Steinebach, R Caldelli
Proceedings of the 7th IASTED International Conference 678 (093), 156, 2010
22010
Multi-target tracking with context from interaction feature strings
L Leal-Taixé, M Fenzi, A Kuznetsova, B Rosenhahn, S Savarese
Scene Understanding Workshop, 2014
12014
Selecting training data for neural networks
G Heinrich, M Fenzi, C Angerer
US Patent App. 17/394,842, 2023
2023
Feature regression for continuous pose estimation of object categories
M Fenzi
Hannover: Gottfried Wilhelm Leibniz Universität Hannover, 2016
2016
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