Oscar Beijbom

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 24

Top Topics

Object Detection And Segmentation

Autonomous Driving

Structured Learning

Top Venues

Publications

Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. IEEE Robotics Autom. Lett. 7 (2) (2022)
Nachiket Deo, Eric M. Wolff, Oscar Beijbom
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals. CoRR (2021)
Qi Chen, Sourabh Vora, Oscar Beijbom
PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars. CoRR (2021)
Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud J. Duintjer Tebbens, Oscar Beijbom
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior. CoRR (2021)
Qi Chen, Sourabh Vora, Oscar Beijbom
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars. NeurIPS (2021)
Nachiket Deo, Eric M. Wolff, Oscar Beijbom
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals. CoRL (2021)
Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud J. Duintjer Tebbens, Oscar Beijbom
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior. IROS (2021)
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric M. Wolff, Alex H. Lang, Luke Fletcher, Oscar Beijbom, Sammy Omari
nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles. CoRR (2021)
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. CoRR (2021)
Qimin Chen, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, David Kriegman
A New Deep Learning Engine for CoralNet. ICCVW (2021)
Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom
PointPainting: Sequential Fusion for 3D Object Detection. CVPR (2020)
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)
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) (2020)
Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes. CoRR (2020)
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets. CVPR (2020)
Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom
PointPainting: Sequential Fusion for 3D Object Detection. CoRR (2019)
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 (2019)
Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff
CoverNet: Multimodal Behavior Prediction using Trajectory Sets. CoRR (2019)
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
PointPillars: Fast Encoders for Object Detection From Point Clouds. CVPR (2019)
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
PointPillars: Fast Encoders for Object Detection from Point Clouds. CoRR (2018)
Eric C. Orenstein, Oscar Beijbom
Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets. WACV (2017)
Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) (2016)
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
Compact Bilinear Pooling. CVPR (2016)
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) (2016)
Oscar Beijbom, Neel Joshi, Dan Morris, T. Scott Saponas, Siddharth Khullar
Menu-Match: Restaurant-Specific Food Logging from Images. WACV (2015)
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 (2015)
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 (2015)
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
Compact Bilinear Pooling. CoRR (2015)
Oscar Beijbom
Cost-Effective Sampling for Pairs of Annotators. CoRR (2014)
Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. ICML (2014)
Steve Branson, Oscar Beijbom, Serge J. Belongie
Efficient Large-Scale Structured Learning. CVPR (2013)
Oscar Beijbom
Domain Adaptations for Computer Vision Applications CoRR (2012)
Oscar Beijbom, Peter J. Edmunds, David I. Kline, B. Greg Mitchell, David J. Kriegman
Automated annotation of coral reef survey images. CVPR (2012)