16 citations · 18 across the 4 of their papers we have counts for
5 papers
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin, Minyoung Huh, Chris Stauffer +2
Communication requires having a common language, a lingua franca, between agents. This language could emerge via a consensus process, but it may require many generations of trial a…
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Shir Gur, Natalia Neverova, Chris Stauffer +3
Recent advances in using retrieval components over external knowledge sources have shown impressive results for a variety of downstream tasks in natural language processing. Here,…
End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering
SouYoung Jin, Hang Su, Chris Stauffer +1
We present an end-to-end system for detecting and clustering faces by identity in full-length movies. Unlike works that start with a predefined set of detected faces, we consider t…
Template Adaptation for Face Verification and Identification
Nate Crosswhite, Jeffrey Byrne, Omkar M. Parkhi +3
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…
Factored Latent Analysis for far-field tracking data
Chris Stauffer
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cla…