Aljosa Osep

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Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU MunichVerificeret mail på tum.de
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityVerificeret mail på vision.rwth-aachen.de
Jonathon LuitenMeta Reality LabsVerificeret mail på meta.com
Paul VoigtlaenderResearch Scientist at GoogleVerificeret mail på google.com
Patrick DendorferTechnical University of MunichVerificeret mail på tum.de
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerificeret mail på uni-tuebingen.de
Michael KrauseInternational Audio Laboratories ErlangenVerificeret mail på rwth-aachen.de
Deva RamananProfessor, Robotics Institute, Carnegie Mellon UniversityVerificeret mail på cs.cmu.edu
Daniel CremersTechnical University of MunichVerificeret mail på tum.de
Berin Balachandar Gnana SekarMaster Student, RWTH AachenVerificeret mail på rwth-aachen.de
Mark WeberTechnical University of MunichVerificeret mail på tum.de
Guillem BrasóNVIDIAVerificeret mail på cs.tum.edu
Ali AtharByteDanceVerificeret mail på vision.rwth-aachen.de
Sabarinath MahadevanResearch Scientist,Qualcomm GermanyVerificeret mail på vision.rwth-aachen.de
Aleksandr KimTechnical University of MunichVerificeret mail på tum.de
Philip TorrProfessor, University of OxfordVerificeret mail på eng.ox.ac.uk
Yutong Ban (班雨桐)Assistant Professor@Shanghai Jiao Tong UniversityVerificeret mail på mit.edu
Radu Patrice HoraudEmeritus (since October 2022) at Inria GrenobleVerificeret mail på inria.fr
Yihong XuResearch [email protected]; PhD from RobotLearn, Inria GrenobleVerificeret mail på valeo.com
Wolfgang MehnerPhD Student, RWTH AachenVerificeret mail på vision.rwth-aachen.de

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Aljosa Osep

Andre navneAljoša Ošep

NVIDIA

Verificeret mail på nvidia.com - Startside

Robot vision open-world perception multi-object tracking


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1028*	2021
Mots: Multi-object tracking and segmentation P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ... Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019	781*	2019
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	329*	2021
How To Train Your Deep Multi-Object Tracker Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda Computer Vision and Pattern Recognition, 2020	256	2020
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	255	2021
Stem-seg: Spatio-temporal embeddings for instance segmentation in videos A Athar, S Mahadevan, A Osep, L Leal-Taixé, B Leibe Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	206	2020
Combined image- and world-space tracking in traffic scenes A Osep, W Mehner, M Mathias, B Leibe Robotics and Automation (ICRA), 2017 IEEE International Conference on, 1988-1995, 2017	156	2017
Motsynth: How can synthetic data help pedestrian detection and tracking? M Fabbri, G Brasó, G Maugeri, O Cetintas, R Gasparini, A Ošep, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	147	2021
Goal-gan: Multimodal trajectory prediction based on goal position estimation P Dendorfer, A Osep, L Leal-Taixé Proceedings of the Asian Conference on Computer Vision, 2020	140	2020
Making a case for 3d convolutions for object segmentation in videos S Mahadevan, A Athar, A Ošep, S Hennen, L Leal-Taixé, B Leibe arXiv preprint arXiv:2008.11516, 2020	98	2020
STEP: Segmenting and tracking every pixel M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ... Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021	95	2021
4d panoptic lidar segmentation M Aygun, A Osep, M Weber, M Maximov, C Stachniss, J Behley, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	88	2021
Track, then decide: Category-agnostic vision-based multi-object tracking A Ošep, W Mehner, P Voigtlaender, B Leibe 2018 IEEE International Conference on Robotics and Automation (ICRA), 3494-3501, 2018	80	2018
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects J Groß, A Osep, B Leibe International Conference on 3D Vision (3DV), 2019	64	2019
Scene flow propagation for semantic mapping and object discovery in dynamic street scenes D Kochanov, A Ošep, J Stückler, B Leibe 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	61*	2016
Opening up open world tracking Y Liu, IE Zulfikar, J Luiten, A Dave, D Ramanan, B Leibe, A Ošep, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	58	2022
Large-Scale Object Mining for Object Discovery from Unlabeled Video A Osep, P Voigtlaender, J Luiten, S Breuers, B Leibe 2019 IEEE International Conference on Robotics and Automation (ICRA), 2019	51*	2019
Multi-scale object candidates for generic object tracking in street scenes A Ošep, A Hermans, F Engelmann, D Klostermann, M Mathias, B Leibe 2016 IEEE International Conference on Robotics and Automation (ICRA), 3180-3187, 2016	50	2016
Polarmot: How far can geometric relations take us in 3d multi-object tracking? A Kim, G Brasó, A Ošep, L Leal-Taixé European conference on computer vision, 41-58, 2022	49	2022
Multi-view normal field integration for 3d reconstruction of mirroring objects M Weinmann, A Osep, R Ruiters, R Klein Proceedings of the IEEE international conference on computer vision, 2504-2511, 2013	43	2013

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