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Andres Alvarado

2 accepted papers

2023

EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding

ICCV 2023poster

Object understanding in egocentric visual data is arguably a fundamental research topic in egocentric vision. However, existing object datasets are either non-egocentric or have limitations in object categories, visual content, and annotation granularities. In this work, we introduce EgoObjects, a l…

Cited by 26PDFcodeScholar
2022

Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions

ICASSP 2022accepted

The problem of machine learning systems demonstrating bias towards specific groups of individuals has been studied extensively, particularly in the Facial Recognition area, but much less so in Automatic Speech Recognition (ASR). This paper presents initial Speech Recognition results on “Casual Conve…

Cited by 53SourceScholar