Holger Caesar
Holger Caesar
Data-Algorithms Team Lead at Motional
Verified email at it-caesar.com - Homepage
Cited by
Cited by
nuScenes: A multimodal dataset for autonomous driving
H Caesar, V Bankiti, AH Lang, S Vora, VE Liong, Q Xu, A Krishnan, Y Pan, ...
Computer Vision and Pattern Recognition 2020, 2020
Pointpillars: Fast encoders for object detection from point clouds
AH Lang, S Vora, H Caesar, L Zhou, J Yang, O Beijbom
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
COCO-Stuff: Thing and Stuff Classes in Context
H Caesar, J Uijlings, V Ferrari
Computer Vision and Pattern Recognition 2018, 2018
Region-based semantic segmentation with end-to-end training
H Caesar, J Uijlings, V Ferrari
European Conference on Computer Vision 2016, 381-397, 2016
Weakly Supervised Object Localization Using Things and Stuff Transfer
M Shi, H Caesar, V Ferrari
International Conference on Computer Vision 2017, 2017
Joint Calibration for Semantic Segmentation
H Caesar, J Uijlings, V Ferrari
British Machine Vision Conference 2015, 2015
MediaParl: Bilingual mixed language accented speech database
D Imseng, H Bourlard, H Caesar, PN Garner, G Lecorvé, A Nanchen
2012 IEEE Spoken Language Technology Workshop (SLT), 263-268, 2012
Integrating Language Identification to Improve Multilingual Speech Recognition
H Caesar
Idiap, 2012
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes
Y Guo, H Caesar, O Beijbom, J Philion, S Fidler
IROS 2020 Workshop on Benchmarking Progress in Autonomous Driving, 2020
Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking
WK Fong, R Mohan, JV Hurtado, L Zhou, H Caesar, O Beijbom, A Valada
arXiv preprint arXiv:2109.03805, 2021
nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
H Caesar, J Kabzan, KS Tan, WK Fong, E Wolff, A Lang, L Fletcher, ...
arXiv preprint arXiv:2106.11810, 2021
Restoring the balance between stuff and things in scene understanding
H Caesar
The University of Edinburgh, 2018
Image-based Activity Recognition using UAVs
H Caesar
Karlsruhe Institute of Technology; Fraunhofer Institute of Optronics, System …, 2014
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