A non-parametric algorithm recognizes one person from a single labeled face image and unlabeled data stream, achieving 90% recall at near-zero false positives on 43 people, 25% above baselines.
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Patch ensembles anchored to predicted lateral lines improve salmon re-identification mAP from 0.609 to 0.860 in cross-camera tests over full-image baselines.
A robot quadruped trainer achieved 60.6% better pace adherence and 45.9% higher speed consistency than a wearable device, with participants rating it substantially higher in ease, enjoyment, and helpfulness.
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Learning from a single labeled face and a stream of unlabeled data
A non-parametric algorithm recognizes one person from a single labeled face image and unlabeled data stream, achieving 90% recall at near-zero false positives on 43 people, 25% above baselines.
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Patch Ensembles for Robust Salmon Re-Identification with Weak Trajectory Labels
Patch ensembles anchored to predicted lateral lines improve salmon re-identification mAP from 0.609 to 0.860 in cross-camera tests over full-image baselines.
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Will People Enjoy a Robot Trainer? A Case Study with Snoopie the Pacerbot
A robot quadruped trainer achieved 60.6% better pace adherence and 45.9% higher speed consistency than a wearable device, with participants rating it substantially higher in ease, enjoyment, and helpfulness.