Oscar Beijbom
Oscar Beijbom
Sr. Machine Learning Director at Motional
Vahvistettu sähköpostiosoite verkkotunnuksessa motional.com - Kotisivu
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Viittaukset
Viittaukset
Vuosi
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
6352020
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
5792016
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
4732019
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
2182012
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
1732015
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
1122015
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
882016
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
642014
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
522020
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
512016
Efficient large-scale structured learning
S Branson, O Beijbom, S Belongie
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
512013
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
502015
Domain Adaptations for Computer Vision Applications
O Beijbom
Tech Report, University of California San Diego, 2012
432012
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
412020
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), 1-11, 2016
402016
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
382017
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
322019
Wide field-of-view fluorescence imaging of coral reefs
T Treibitz, BP Neal, DI Kline, O Beijbom, PLD Roberts, BG Mitchell, ...
Scientific reports 5 (1), 1-9, 2015
322015
Food logging from images
NS Joshi, S Khullar, TS Saponas, D Morris, O Beijbom
US Patent 9,977,980, 2018
242018
Guess-averse loss functions for cost-sensitive multiclass boosting
O Beijbom, M Saberian, D Kriegman, N Vasconcelos
International Conference on Machine Learning, 586-594, 2014
242014
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Artikkelit 1–20