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Oscar Beijbom
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2020 – today
- 2022
- [j3]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): 3795-3802 (2022) - 2021
- [c15]Nachiket Deo, Eric M. Wolff, Oscar Beijbom:
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals. CoRL 2021: 203-212 - [c14]Qimin Chen, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, David J. Kriegman:
A New Deep Learning Engine for CoralNet. ICCVW 2021: 3686-3695 - [c13]Bassam Helou, Aditya Dusi
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior. IROS 2021: 6708-6715 - [c12]Qi Chen, Sourabh Vora, Oscar Beijbom:
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars. NeurIPS 2021: 26871-26883 - [i15]Qi Chen, Sourabh Vora, Oscar Beijbom:
PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars. CoRR abs/2106.07545 (2021) - [i14]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 abs/2106.11810 (2021) - [i13]Nachiket Deo, Eric M. Wolff, Oscar Beijbom:
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals. CoRR abs/2106.15004 (2021) - [i12]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 abs/2107.13507 (2021) - [i11]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 abs/2109.03805 (2021) - 2020
- [j2]Manuel González-Rivero
Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach. Remote. Sens. 12(3): 489 (2020) - [c11]Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. CVPR 2020: 4603-4611 - [c10]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: 11618-11628 - [c9]Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff:
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets. CVPR 2020: 14062-14071 - [i10]Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler:
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes. CoRR abs/2010.09350 (2020)
2010 – 2019
- 2019
- [c8]Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom:
PointPillars: Fast Encoders for Object Detection From Point Clouds. CVPR 2019: 12697-12705 - [i9]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 abs/1903.11027 (2019) - [i8]Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. CoRR abs/1911.10150 (2019) - [i7]Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff:
CoverNet: Multimodal Behavior Prediction using Trajectory Sets. CoRR abs/1911.10298 (2019) - 2018
- [i6]Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom:
PointPillars: Fast Encoders for Object Detection from Point Clouds. CoRR abs/1812.05784 (2018) - 2017
- [c7]Eric C. Orenstein
Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets. WACV 2017: 1082-1088 - 2016
- [j1]Manuel González-Rivero
Scaling up Ecological Measurements of Coral Reefs Using Semi-Automated Field Image Collection and Analysis. Remote. Sens. 8(1): 30 (2016) - [c6]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CVPR 2016: 317-326 - [c5]Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell:
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) 2016: 435-442 - 2015
- [b1]Oscar Beijbom:
Automated Annotation of Coral Reef Survey Images. University of California, San Diego, USA, 2015 - [c4]Oscar Beijbom, Neel Joshi, Dan Morris, T. Scott Saponas, Siddharth Khullar:
Menu-Match: Restaurant-Specific Food Logging from Images. WACV 2015: 844-851 - [i5]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 abs/1510.00745 (2015) - [i4]Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez
Quantification in-the-wild: data-sets and baselines. CoRR abs/1510.04811 (2015) - [i3]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CoRR abs/1511.06062 (2015) - 2014
- [c3]Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos:
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. ICML 2014: 586-594 - [i2]Oscar Beijbom:
Cost-Effective Sampling for Pairs of Annotators. CoRR abs/1410.7074 (2014) - 2013
- [c2]Steve Branson, Oscar Beijbom, Serge J. Belongie
Efficient Large-Scale Structured Learning. CVPR 2013: 1806-1813 - 2012
- [c1]Oscar Beijbom, Peter J. Edmunds, David I. Kline
Automated annotation of coral reef survey images. CVPR 2012: 1170-1177 - [i1]Oscar Beijbom:
Domain Adaptations for Computer Vision Applications. CoRR abs/1211.4860 (2012)
Coauthor Index
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