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Roberto Henschel
Roberto Henschel
Picsart AI Research (PAIR)
Bestätigte E-Mail-Adresse bei tnt.uni-hannover.de
Titel
Zitiert von
Zitiert von
Jahr
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
T von Marcard, R Henschel, MJ Black, B Rosenhahn, G Pons-Moll
794*
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
R Henschel, L Leal-Taixé, D Cremers, B Rosenhahn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1762018
Lifted disjoint paths with application in multiple object tracking
A Hornakova, R Henschel, B Rosenhahn, P Swoboda
International Conference on Machine Learning, 4364-4375, 2020
1302020
Multiple People Tracking Using Body and Joint Detections
R Henschel, Y Zou, B Rosenhahn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
952019
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
L Khachatryan, A Movsisyan, V Tadevosyan, R Henschel, Z Wang, ...
arXiv preprint arXiv:2303.13439, 2023
862023
Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking
R Henschel, L Leal-Taixé, D Cremers, B Rosenhahn
arXiv preprint arXiv:1705.08314, 2017
452017
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
A Hornakova, T Kaiser, P Swoboda, M Rolinek, B Rosenhahn, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
302021
Simultaneous identification and tracking of multiple people using video and imus
R Henschel, T von Marcard, B Rosenhahn
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
252019
Efficient multiple people tracking using minimum cost arborescences
R Henschel, L Leal-Taixé, B Rosenhahn
36th German Conference on Pattern Recognition (GCPR), 2014
242014
Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs
R Henschel, T Von Marcard, B Rosenhahn
IEEE Transactions on Image Processing 29, 8476-8489, 2020
162020
Tracking with multi-level features
R Henschel, L Leal-Taixé, B Rosenhahn, K Schindler
arXiv preprint arXiv:1607.07304, 2016
162016
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
DMH Nguyen, R Henschel, B Rosenhahn, D Sonntag, P Swoboda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
132022
A novel multi-detector fusion framework for multi-object tracking
R Henschel, L Leal-Taixé, D Cremers, B Rosenhahn
arXiv preprint arXiv:1705.08314, 1-10, 2017
132017
Multiple people tracking using body and joint detections. In 2019 IEEE
R Henschel, Y Zou, B Rosenhahn
CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019
42019
Moving object tracking for aerial video coding using linear motion prediction and block matching
H Meuel, L Angerstein, R Henschel, B Rosenhahn, J Ostermann
2016 Picture Coding Symposium (PCS), 1-5, 2016
42016
Holistic scene understanding (Dagstuhl Seminar 15081)
J Matas, V Murino, B Rosenhahn, L Leal-Taixé
Dagstuhl Reports 5 (2), 2015
32015
Solving Multiple People Tracking In A Minimum Cost Arborescence
R Henschel, L Leal-Taixé, B Rosenhahn
Applications and Computer Vision Workshops (WACVW), 2015 IEEE Winter, 71-72, 2015
12015
Video Instance Matting
J Li, R Henschel, V Goel, M Ohanyan, S Navasardyan, H Shi
arXiv preprint arXiv:2311.04212, 2023
2023
Higher-order Multiple Object Tracking
RD Henschel
VDI Verlag, 2021
2021
Higher Order Multiple Object Tracking for Crowded Scenes
A Hornakova, T Kaiser, B Rosenhahn, P Swoboda, R Henschel
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