Automated annotation of coral reef survey images. - Oscar Beijbom; Peter J. Edmunds; David I. Kline; B. Greg Mitchell; David J. Kriegman (CVPR, 2012)

Domain Adaptations for Computer Vision Applications - Oscar Beijbom (CoRR, 2012)

Efficient Large-Scale Structured Learning. - Steve Branson; Oscar Beijbom; Serge J. Belongie (CVPR, 2013)

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. - Oscar Beijbom; Mohammad J. Saberian; David J. Kriegman; Nuno Vasconcelos (ICML, 2014)

Cost-Effective Sampling for Pairs of Annotators. - Oscar Beijbom (CoRR, 2014)

Menu-Match: Restaurant-Specific Food Logging from Images. - Oscar Beijbom; Neel Joshi; Dan Morris 001; T. Scott Saponas; Siddharth Khullar (WACV, 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)

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)

Automated Annotation of Coral Reef Survey Images. - Oscar Beijbom (2015)

Compact Bilinear Pooling. - Yang Gao 029; Oscar Beijbom; Ning Zhang 014; Trevor Darrell (CVPR, 2016)

Best Practices for Fine-Tuning Visual Classifiers to New Domains. - Brian Chu; Vashisht Madhavan; Oscar Beijbom; Judy Hoffman; Trevor Darrell (ECCV Workshops (3), 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)

Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets. - Eric C. Orenstein; Oscar Beijbom (WACV, 2017)

PointPillars: Fast Encoders for Object Detection From Point Clouds. - Alex H. Lang; Sourabh Vora; Holger Caesar; Lubing Zhou; Jiong Yang; Oscar Beijbom (CVPR, 2019)

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 (CVPR, 2020)

CoverNet: Multimodal Behavior Prediction Using Trajectory Sets. - Tung Phan-Minh; Elena Corina Grigore; Freddy A. Boulton; Oscar Beijbom; Eric M. Wolff (CVPR, 2020)

PointPainting: Sequential Fusion for 3D Object Detection. - Sourabh Vora; Alex H. Lang; Bassam Helou; Oscar Beijbom (CVPR, 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)

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; et al. (Remote. Sens., 2020)

Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals. - Nachiket Deo; Eric M. Wolff; Oscar Beijbom (CoRL, 2021)

A New Deep Learning Engine for CoralNet. - Qimin Chen; Oscar Beijbom; Stephen Chan; Jessica Bouwmeester; David J. Kriegman (ICCVW, 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 (IROS, 2021)

PolarStream: Streaming Object Detection and Segmentation with Polar Pillars. - Qi Chen; Sourabh Vora; Oscar Beijbom (NeurIPS, 2021)

PolarStream: Streaming Lidar Object Detection and Segmentation with Polar Pillars. - Qi Chen; Sourabh Vora; Oscar Beijbom (CoRR, 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)

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)