Oscar Beijbom
Oscar Beijbom
CTO, Co-founder Nyckel
Verified email at - 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, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 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
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
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
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
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
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
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
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
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
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
Multimodal trajectory prediction conditioned on lane-graph traversals
N Deo, E Wolff, O Beijbom
Conference on Robot Learning, 203-212, 2022
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
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
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
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
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
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
Restaurant-specific food logging from images
NS Joshi, S Khullar, TS Saponas, D Morris, O Beijbom
US Patent 9,659,225, 2017
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
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