Beijbom, O.[Oscar]
* 2012: Automated annotation of coral reef survey images
* 2013: Efficient Large-Scale Structured Learning
* 2015: Menu-Match: Restaurant-Specific Food Logging from Images
* 2016: Best Practices for Fine-Tuning Visual Classifiers to New Domains
* 2016: Compact Bilinear Pooling
* 2016: Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis
* 2017: Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets
* 2019: PointPillars: Fast Encoders for Object Detection From Point Clouds
* 2020: CoverNet: Multimodal Behavior Prediction Using Trajectory Sets
* 2020: Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach
* 2020: nuScenes: A Multimodal Dataset for Autonomous Driving
* 2020: PointPainting: Sequential Fusion for 3D Object Detection
* 2021: New Deep Learning Engine for CoralNet, A
Includes: Beijbom, O.[Oscar] Beijbom, O.
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Beijun, S.[Shen]
* 2009: Automatic Web News Extraction Using Blocking Tag