Követés
Oscar Beijbom
Oscar Beijbom
CTO, Co-founder Nyckel
E-mail megerősítve itt: nyckel.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
nuscenes: A multimodal dataset for autonomous driving
H Caesar, V Bankiti, AH Lang, S Vora, VE Liong, Q Xu, A Krishnan, Y Pan, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
66132020
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
42802019
Pointpainting: Sequential fusion for 3d object detection
S Vora, AH Lang, B Helou, O Beijbom
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
10822020
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
10762016
Covernet: Multimodal behavior prediction using trajectory sets
T Phan-Minh, EC Grigore, FA Boulton, O Beijbom, EM Wolff
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4812020
Automated annotation of coral reef survey images
O Beijbom, PJ Edmunds, DI Kline, BG Mitchell, D Kriegman
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
3922012
Towards automated annotation of benthic survey images: Variability of human experts and operational modes of automation
O Beijbom, PJ Edmunds, C Roelfsema, J Smith, DI Kline, BP Neal, ...
PloS one 10 (7), e0130312, 2015
3812015
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
2402021
Best Practices for Fine-tuning Visual Classifiers to New Domains
B Chu, V Madhavan, O Beijbom, J Hoffman, T Darrell
European Conference on Computer Vision, workshop on TASK-CV, 2016
2032016
Multimodal trajectory prediction conditioned on lane-graph traversals
N Deo, E Wolff, O Beijbom
Conference on Robot Learning, 203-212, 2022
1992022
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
IEEE Robotics and Automation Letters 7 (2), 3795-3802, 2022
1912022
Menu-match: Restaurant-specific food logging from images
O Beijbom, N Joshi, D Morris, S Saponas, S Khullar
2015 IEEE Winter Conference on Applications of Computer Vision, 844-851, 2015
1722015
Transfer learning and deep feature extraction for planktonic image data sets
EC Orenstein, O Beijbom
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 1082-1088, 2017
1402017
Monitoring of coral reefs using artificial intelligence: A feasible and cost-effective approach
M Gonzalez-Rivero, O Beijbom, A Rodriguez-Ramirez, DEP Bryant, ...
Remote Sensing 12 (3), 489, 2020
1282020
Leveraging automated image analysis tools to transform our capacity to assess status and trends of coral reefs
ID Williams, CS Couch, O Beijbom, TA Oliver, B Vargas-Angel, ...
Frontiers in Marine Science 6, 222, 2019
1122019
Whoi-plankton-a large scale fine grained visual recognition benchmark dataset for plankton classification
EC Orenstein, O Beijbom, EE Peacock, HM Sosik
arXiv preprint arXiv:1510.00745, 2015
1082015
The Catlin Seaview Survey–kilometre‐scale seascape assessment, and monitoring of coral reef ecosystems
M González‐Rivero, P Bongaerts, O Beijbom, O Pizarro, A Friedman, ...
Aquatic Conservation: Marine and Freshwater Ecosystems 24 (S2), 184-198, 2014
982014
Redundancy in autonomous vehicles
E Frazzoli, A Censi, HH Chang, P Robbel, MA Meijburg, EB Nice, E Wolff, ...
US Patent App. 17/058,242, 2021
932021
Scaling up ecological measurements of coral reefs using semi-automated field image collection and analysis
M González-Rivero, O Beijbom, A Rodriguez-Ramirez, T Holtrop, ...
Remote Sensing 8 (1), 30, 2016
872016
Restaurant-specific food logging from images
NS Joshi, S Khullar, TS Saponas, D Morris, O Beijbom
US Patent 9,659,225, 2017
742017
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Cikkek 1–20