Obserwuj
Laura Leal-Taixé
Laura Leal-Taixé
Senior Research Manager at NVIDIA. Prev. Prof. TU Munich
Zweryfikowany adres z tum.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
MOT16: A benchmark for multi-object tracking
A Milan
arXiv preprint arXiv:1603.00831, 2016
24242016
Tracking without bells and whistles
P Bergmann, T Meinhardt, L Leal-Taixe
International Conference on Computer Vision (ICCV), 2019
12522019
Motchallenge 2015: Towards a benchmark for multi-target tracking
L Leal-Taixé
arXiv preprint arXiv:1504.01942, 2015
11622015
One-shot video object segmentation
S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
11462017
Trackformer: Multi-object tracking with transformers
T Meinhardt, A Kirillov, L Leal-Taixe, C Feichtenhofer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
9322022
Mot20: A benchmark for multi object tracking in crowded scenes
P Dendorfer
arXiv preprint arXiv:2003.09003, 2020
8692020
Hota: A higher order metric for evaluating multi-object tracking
J Luiten, A Osep, P Dendorfer, P Torr, A Geiger, L Leal-Taixé, B Leibe
International journal of computer vision 129, 548-578, 2021
8592021
Image-based localization using LSTMs for structured feature correlation
F Walch, C Hazirbas, L Leal-Taixé, T Sattler, S Hilsenbeck, D Cremers
International Conference on Computer Vision (ICCV), 2017
6412017
Learning by tracking: Siamese CNN for robust target association
L Leal-Taixé, C Canton-Ferrer, K Schindler
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5732016
Learning a Neural Solver for Multiple Object Tracking
G Brasó, L Leal-Taixé
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
5552020
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
T Sattler, Q Zhou, M Pollefeys, L Leal-Taixe
Conference on Computer Vision and Pattern Recognition (CVPR), 3302-3312, 2019
4522019
Video object segmentation without temporal information
KK Maninis, S Caelles, Y Chen, J Pont-Tuset, L Leal-Taixé, D Cremers, ...
IEEE transactions on pattern analysis and machine intelligence 41 (6), 1515-1530, 2018
4122018
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
3122014
Motchallenge: A benchmark for single-camera multiple target tracking
P Dendorfer, A Osep, A Milan, K Schindler, D Cremers, I Reid, S Roth, ...
International Journal of Computer Vision 129, 845-881, 2021
2872021
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker
L Leal-Taixé, G Pons-Moll, B Rosenhahn
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International …, 2011
2672011
How To Train Your Deep Multi-Object Tracker
Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2552020
Eagermot: 3d multi-object tracking via sensor fusion
A Kim, A Ošep, L Leal-Taixé
2021 IEEE International conference on Robotics and Automation (ICRA), 11315 …, 2021
2502021
Learning temporal coherence via self-supervision for GAN-based video generation
M Chu, Y Xie, J Mayer, L Leal-Taixé, N Thuerey
SIGGRAPH, 2020
2472020
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
M Maximov, I Elezi, L Leal-Taixé
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2412020
Joint Tracking and Segmentation of Multiple Targets
A Milan, L Leal-Taixé, K Schindler, I Reid
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
2252015
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20