| 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 | 301 | 2014 |
| 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 | 141 | 2020 |
| 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 | 43 | 2013 |
| 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 | 22 | 2012 |
| Embedding Geometry in Generative Models for Pose Estimation of Object Categories M Fenzi, J Ostermann British Machine Vision Conference (BMVC), 2014 | 12 | 2014 |
| 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 | 11 | 2022 |
| 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 | 11 | 2015 |
| 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 | 10 | 2014 |
| 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 | 5 | 2020 |
| 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 | 5 | |
| 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 | 3 | 2023 |
| 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 | 3 | 2015 |
| 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 | 2 | 2022 |
| 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 | 2 | 2012 |
| 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 | 2 | 2010 |
| Multi-target tracking with context from interaction feature strings L Leal-Taixé, M Fenzi, A Kuznetsova, B Rosenhahn, S Savarese Scene Understanding Workshop, 2014 | 1 | 2014 |
| 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 |
Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU MunichEmail verificata su tum.de
