Beijbom, Oscar

11 publications

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

CoRL 2021 Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals Nachiket Deo, Eric Wolff, Oscar Beijbom

NeurIPS 2021 PolarStream: Streaming Object Detection and Segmentation with Polar Pillars Qi Chen, Sourabh Vora, Oscar Beijbom

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

ECCV 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

ECCVW 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

CVPR 2016 Compact Bilinear Pooling Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

WACV 2015 Menu-Match: Restaurant-Specific Food Logging from Images Oscar Beijbom, Neel Joshi, Dan Morris, T. Scott Saponas, Siddharth Khullar

ICML 2014 Guess-Averse Loss Functions for Cost-Sensitive Multiclass Boosting Oscar Beijbom, Mohammad Saberian, David Kriegman, Nuno Vasconcelos

CVPR 2013 Efficient Large-Scale Structured Learning Steve Branson, Oscar Beijbom, Serge Belongie

CVPR 2012 Automated Annotation of Coral Reef Survey Images Oscar Beijbom, Peter J. Edmunds, David I. Kline, B. Greg Mitchell, David J. Kriegman