Oscar Beijbom

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.

Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada

IEEE Robotics Autom. Lett., 2022

2021

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

Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric M. Wolff, Alex H. Lang, Luke Fletcher, Oscar Beijbom, Sammy Omari

CoRR, 2021

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

Qi Chen, Sourabh Vora, Oscar Beijbom

CoRR, 2021

PolarStream: Streaming Object Detection and Segmentation with Polar Pillars.

Qi Chen, Sourabh Vora, Oscar Beijbom

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.

Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud J. Duintjer Tebbens, Oscar Beijbom

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A New Deep Learning Engine for CoralNet.

Qimin Chen, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, David J. Kriegman

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals.

Nachiket Deo, Eric M. Wolff, Oscar Beijbom

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.

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

Remote. Sens., 2020

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

Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler

CoRR, 2020

PointPainting: Sequential Fusion for 3D Object Detection.

Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CoverNet: Multimodal Behavior Prediction Using Trajectory Sets.

Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

nuScenes: A Multimodal Dataset for Autonomous Driving.

Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

PointPillars: Fast Encoders for Object Detection From Point Clouds.

Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets.

Eric C. Orenstein, Oscar Beijbom

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.

Manuel González-Rivero, Oscar Beijbom, Alberto Rodriguez-Ramirez, Tadzio Holtrop, Yeray González-Marrero, Anjani Ganase, Chris M. Roelfsema, Stuart R. Phinn, Ove Hoegh-Guldberg

Remote. Sens., 2016

Best Practices for Fine-Tuning Visual Classifiers to New Domains.

Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Compact Bilinear Pooling.

Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Automated Annotation of Coral Reef Survey Images.

Oscar Beijbom

PhD thesis, 2015

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

Eric C. Orenstein, Oscar Beijbom, Emily E. Peacock, Heidi M. Sosik

CoRR, 2015

Quantification in-the-wild: data-sets and baselines.

Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel González-Rivero, Ove Hoegh-Guldberg

CoRR, 2015

Menu-Match: Restaurant-Specific Food Logging from Images.

Oscar Beijbom, Neel Joshi, Dan Morris, T. Scott Saponas, Siddharth Khullar

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

2014

Cost-Effective Sampling for Pairs of Annotators.

Oscar Beijbom

CoRR, 2014

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting.

Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Efficient Large-Scale Structured Learning.

Steve Branson, Oscar Beijbom, Serge J. Belongie

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Domain Adaptations for Computer Vision Applications

Oscar Beijbom

CoRR, 2012

Automated annotation of coral reef survey images.

Oscar Beijbom, Peter J. Edmunds, David I. Kline, B. Greg Mitchell, David J. Kriegman

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012