A contemporary baseline record of the world’s coral reefs A Rodriguez-Ramirez, M González-Rivero, O Beijbom, C Bailhache, ... Scientific data 7 (1), 355, 2020 | 13 | 2020 |
A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification EC Orenstein, O Beijbom, EE Peacock, HM Sosik San Diego: Department of Computer Science and Engineering University of …, 2015 | | 2015 |
A new deep learning engine for coralnet Q Chen, O Beijbom, S Chan, J Bouwmeester, D Kriegman Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 36 | 2021 |
Adding tags to sensor data via a plurality of models and querying the sensor data Q Xu, O Beijbom, H Caesar, WK Fong, A Lang, V Bankiti, S Vora US Patent App. 18/045,404, 2023 | | 2023 |
Adding tags to sensor data via a plurality of models and querying the sensor data Q Xu, O Beijbom, H Caesar, WK Fong, A Lang, V Bankiti, S Vora US Patent 11,488,377, 2022 | | 2022 |
Automated analysis of underwater imagery: accomplishments, products, and vision BL Richards, O Beijbom, MD Campbell, ME Clarke, G Cutter, M Dawkins, ... | 13 | 2019 |
Automated annotation of coral reef survey images O Beijbom University of California, San Diego, 2015 | 12 | 2015 |
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 | 370 | 2012 |
Automated verification of annotated sensor data KS Tan, H Caesar, Y Guo, O Beijbom US Patent App. 17/450,362, 2023 | | 2023 |
Automatically choosing data samples for annotation H Caesar, OO Beijbom US Patent 11,521,010, 2022 | 12 | 2022 |
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 | 188 | 2016 |
Caribbean massive corals not recovering from repeated thermal stress events during 2005–2013 BP Neal, A Khen, T Treibitz, O Beijbom, G O'Connor, MA Coffroth, ... Ecology and Evolution 7 (5), 1339-1353, 2017 | 48 | 2017 |
Compact bilinear pooling Y Gao, O Beijbom, N Zhang, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1029 | 2016 |
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 | 406 | 2020 |
Cross-modality active learning for object detection KS Tan, H Caesar, OO Beijbom US Patent 11,887,324, 2024 | | 2024 |
Deep learning for object detection using pillars OO Beijbom, AH Lang US Patent App. 17/985,796, 2023 | 1 | 2023 |
Deep learning for object detection using pillars OO Beijbom, AH Lang US Patent 11,500,063, 2022 | 2 | 2022 |
Determining object mobility parameters using an object sequence V Bankiti, O Beijbom, T Yin US Patent 11,948,381, 2024 | 1 | 2024 |
Domain Adaptations for Computer Vision Applications O Beijbom Tech Report, University of California San Diego, 2012 | 53 | 2012 |
Efficient large-scale structured learning S Branson, O Beijbom, S Belongie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 63 | 2013 |