Oscar Beijbom

According to our database1, Oscar Beijbom authored at least 26 papers between 2012 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.
IEEE Robotics Autom. Lett., 2022

2021
nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.
CoRR, 2021

PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars.
CoRR, 2021

PolarStream: Streaming Object Detection and Segmentation with Polar Pillars.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A New Deep Learning Engine for CoralNet.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach.
Remote. Sens., 2020

The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes.
CoRR, 2020

PointPainting: Sequential Fusion for 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CoverNet: Multimodal Behavior Prediction Using Trajectory Sets.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

nuScenes: A Multimodal Dataset for Autonomous Driving.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
PointPillars: Fast Encoders for Object Detection From Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016
Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis.
Remote. Sens., 2016

Best Practices for Fine-Tuning Visual Classifiers to New Domains.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Compact Bilinear Pooling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Automated Annotation of Coral Reef Survey Images.
PhD thesis, 2015

WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification.
CoRR, 2015

Quantification in-the-wild: data-sets and baselines.
CoRR, 2015

Menu-Match: Restaurant-Specific Food Logging from Images.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

2014
Cost-Effective Sampling for Pairs of Annotators.
CoRR, 2014

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Efficient Large-Scale Structured Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Domain Adaptations for Computer Vision Applications
CoRR, 2012

Automated annotation of coral reef survey images.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012


  Loading...