Oscar Beijbom

34 papers A* 9A 3Misc 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.
IEEE Robotics Autom. Lett.
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
2021 — conf
A New Deep Learning Engine for CoralNet.
ICCVW
Qimin Chen, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, David J. Kriegman
2021 Misc conf
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals.
CoRL
Nachiket Deo, Eric M. Wolff, Oscar Beijbom
2021 J jnl
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals.
CoRR
Nachiket Deo, Eric M. Wolff, Oscar Beijbom
2021 J jnl
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.
CoRR
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
2021 J jnl
PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars.
CoRR
Qi Chen, Sourabh Vora, Oscar Beijbom
2021 A* conf
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars.
NeurIPS
Qi Chen, Sourabh Vora, Oscar Beijbom
2021 A conf
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior.
IROS
Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud J. Duintjer Tebbens, Oscar Beijbom
2021 J jnl
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior.
CoRR
Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud J. Duintjer Tebbens, Oscar Beijbom
2021 J jnl
nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.
CoRR
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric M. Wolff, Alex H. Lang, Luke Fletcher, Oscar Beijbom, Sammy Omari
2020 A* conf
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets.
CVPR
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff
2020 J jnl
Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach.
Remote. Sens.
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
2020 A* conf
PointPainting: Sequential Fusion for 3D Object Detection.
CVPR
Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom
2020 J jnl
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes.
CoRR
Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler
2020 A* conf
nuScenes: A Multimodal Dataset for Autonomous Driving.
CVPR
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom
2019 J jnl
CoverNet: Multimodal Behavior Prediction using Trajectory Sets.
CoRR
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff
2019 J jnl
PointPainting: Sequential Fusion for 3D Object Detection.
CoRR
Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom
2019 A* conf
PointPillars: Fast Encoders for Object Detection From Point Clouds.
CVPR
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
2019 J jnl
nuScenes: A multimodal dataset for autonomous driving.
CoRR
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom
2018 J jnl
PointPillars: Fast Encoders for Object Detection from Point Clouds.
CoRR
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
2017 A conf
Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets.
WACV
Eric C. Orenstein, Oscar Beijbom
2016 — conf
Best Practices for Fine-Tuning Visual Classifiers to New Domains.
ECCV Workshops (3)
Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell
2016 A* conf
Compact Bilinear Pooling.
CVPR
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
2016 J jnl
Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis.
Remote. Sens.
Manuel González-Rivero, Oscar Beijbom, Alberto Rodriguez-Ramirez, Tadzio Holtrop, Yeray González-Marrero, Anjani Ganase, Chris M. Roelfsema, Stuart R. Phinn, Ove Hoegh-Guldberg
2015 — —
Automated Annotation of Coral Reef Survey Images.
Oscar Beijbom
2015 J jnl
Compact Bilinear Pooling.
CoRR
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
2015 A conf
Menu-Match: Restaurant-Specific Food Logging from Images.
WACV
Oscar Beijbom, Neel Joshi, Dan Morris, T. Scott Saponas, Siddharth Khullar
2015 J jnl
Quantification in-the-wild: data-sets and baselines.
CoRR
Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel González-Rivero, Ove Hoegh-Guldberg
2015 J jnl
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification.
CoRR
Eric C. Orenstein, Oscar Beijbom, Emily E. Peacock, Heidi M. Sosik
2014 J jnl
Cost-Effective Sampling for Pairs of Annotators.
CoRR
Oscar Beijbom
2014 A* conf
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting.
ICML
Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos
2013 A* conf
Efficient Large-Scale Structured Learning.
CVPR
Steve Branson, Oscar Beijbom, Serge J. Belongie
2012 A* conf
Automated annotation of coral reef survey images.
CVPR
Oscar Beijbom, Peter J. Edmunds, David I. Kline, B. Greg Mitchell, David J. Kriegman
2012 J jnl
Domain Adaptations for Computer Vision Applications
CoRR
Oscar Beijbom