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2020 – today
- 2020
[j2]Manuel González-Rivero, Oscar Beijbom, Alberto Rodriguez-Ramirez
, Dominic E. P. Bryant, Anjani Ganase, Yeray González-Marrero, Ana Herrera-Reveles, Emma V. Kennedy, Catherine J. S. Kim, Sebastian Lopez-Marcano, Kathryn Markey, Benjamin P. Neal, Kate Osborne, Catalina Reyes-Nivia, Eugenia M. Sampayo, Kristin Stolberg, Abbie Taylor, Julie Vercelloni, Mathew Wyatt, Ove Hoegh-Guldberg:
Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach. Remote. Sens. 12(3): 489 (2020)- [c11]Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. CVPR 2020: 4603-4611 - [c10]Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom:
nuScenes: A Multimodal Dataset for Autonomous Driving. CVPR 2020: 11618-11628 - [c9]Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff:
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets. CVPR 2020: 14062-14071 - [i10]Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler:
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes. CoRR abs/2010.09350 (2020)
2010 – 2019
- 2019
- [c8]Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom:
PointPillars: Fast Encoders for Object Detection From Point Clouds. CVPR 2019: 12697-12705 - [i9]Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom:
nuScenes: A multimodal dataset for autonomous driving. CoRR abs/1903.11027 (2019) - [i8]Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. CoRR abs/1911.10150 (2019) - [i7]Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff:
CoverNet: Multimodal Behavior Prediction using Trajectory Sets. CoRR abs/1911.10298 (2019) - 2018
- [i6]Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom:
PointPillars: Fast Encoders for Object Detection from Point Clouds. CoRR abs/1812.05784 (2018) - 2017
- [c7]Eric C. Orenstein, Oscar Beijbom:
Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets. WACV 2017: 1082-1088 - 2016
- [j1]Manuel González-Rivero, Oscar Beijbom, Alberto Rodriguez-Ramirez, Tadzio Holtrop, Yeray González-Marrero, Anjani Ganase, Chris M. Roelfsema, Stuart R. Phinn, Ove Hoegh-Guldberg:
Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis. Remote. Sens. 8(1): 30 (2016) - [c6]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CVPR 2016: 317-326 - [c5]Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell:
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) 2016: 435-442 - 2015
- [c4]Oscar Beijbom, Neel Joshi, Dan Morris, T. Scott Saponas, Siddharth Khullar:
Menu-Match: Restaurant-Specific Food Logging from Images. WACV 2015: 844-851 - [i5]Eric C. Orenstein, Oscar Beijbom, Emily E. Peacock, Heidi M. Sosik:
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification. CoRR abs/1510.00745 (2015) - [i4]Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel González-Rivero, Ove Hoegh-Guldberg:
Quantification in-the-wild: data-sets and baselines. CoRR abs/1510.04811 (2015) - [i3]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CoRR abs/1511.06062 (2015) - 2014
- [c3]Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos:
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. ICML 2014: 586-594 - [i2]Oscar Beijbom:
Cost-Effective Sampling for Pairs of Annotators. CoRR abs/1410.7074 (2014) - 2013
- [c2]Steve Branson, Oscar Beijbom, Serge J. Belongie:
Efficient Large-Scale Structured Learning. CVPR 2013: 1806-1813 - 2012
- [c1]Oscar Beijbom, Peter J. Edmunds, David I. Kline, B. Greg Mitchell, David J. Kriegman:
Automated annotation of coral reef survey images. CVPR 2012: 1170-1177 - [i1]Oscar Beijbom:
Domain Adaptations for Computer Vision Applications. CoRR abs/1211.4860 (2012)
Coauthor Index
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