Search Results for author: Edison Thomaz

Found 6 papers, 1 papers with code

Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study

no code implementations7 Oct 2021 Dawei Liang, Yangyang Shi, Yun Wang, Nayan Singhal, Alex Xiao, Jonathan Shaw, Edison Thomaz, Ozlem Kalinli, Mike Seltzer

Detection of common events and scenes from audio is useful for extracting and understanding human contexts in daily life.

Event Detection

Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos

1 code implementation19 Oct 2018 Dawei Liang, Edison Thomaz

Over the years, activity sensing and recognition has been shown to play a key enabling role in a wide range of applications, from sustainability and human-computer interaction to health care.

Activity Recognition

Leveraging Context to Support Automated Food Recognition in Restaurants

no code implementations7 Oct 2015 Vinay Bettadapura, Edison Thomaz, Aman Parnami, Gregory Abowd, Irfan Essa

The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat.

Food Recognition

Predicting Daily Activities From Egocentric Images Using Deep Learning

no code implementations6 Oct 2015 Daniel Castro, Steven Hickson, Vinay Bettadapura, Edison Thomaz, Gregory Abowd, Henrik Christensen, Irfan Essa

We collected a dataset of 40, 103 egocentric images over a 6 month period with 19 activity classes and demonstrate the benefit of state-of-the-art deep learning techniques for learning and predicting daily activities.

Classification Fine-tuning +1

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