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Oscar Beijbom
Oscar Beijbom
CTO, Co-founder Nyckel
Verified email at nyckel.com - Homepage
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Cited by
Year
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
49192020
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
33392019
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
10212016
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
8262020
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
3852020
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
3652012
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
3462015
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
1862016
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
1592015
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
1462022
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
1412021
Multimodal trajectory prediction conditioned on lane-graph traversals
N Deo, E Wolff, O Beijbom
Conference on Robot Learning, 203-212, 2022
1362022
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
1222017
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
1052020
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, 420984, 2019
972019
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
952015
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
952014
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
832016
Improving automated annotation of benthic survey images using wide-band fluorescence
O Beijbom, T Treibitz, DI Kline, G Eyal, A Khen, B Neal, Y Loya, ...
Scientific reports 6 (1), 23166, 2016
632016
Restaurant-specific food logging from images
NS Joshi, S Khullar, TS Saponas, D Morris, O Beijbom
US Patent 9,659,225, 2017
622017
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