Search Results for author: Chris Stauffer

Found 5 papers, 0 papers with code

Cross-Modal Retrieval Augmentation for Multi-Modal Classification

no code implementations Findings (EMNLP) 2021 Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter

Recent advances in using retrieval components over external knowledge sources have shown impressive results for a variety of downstream tasks in natural language processing.

Cross-Modal Retrieval General Classification +4

End-To-End Face Detection and Cast Grouping in Movies Using Erdos-Renyi Clustering

no code implementations ICCV 2017 SouYoung Jin, Hang Su, Chris Stauffer, Erik Learned-Miller

We introduce a novel verification method, rank-1 counts verification, that has this property, and use it in a link-based clustering scheme.

Clustering Face Detection

End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering

no code implementations7 Sep 2017 SouYoung Jin, Hang Su, Chris Stauffer, Erik Learned-Miller

We introduce a novel verification method, rank-1 counts verification, that has this property, and use it in a link-based clustering scheme.

Clustering Face Detection

Template Adaptation for Face Verification and Identification

no code implementations12 Mar 2016 Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi, Chris Stauffer, Qiong Cao, Andrew Zisserman

Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset for imagery and the YouTubeFaces dataset for videos.

Face Identification Face Recognition +3

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