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20172023
most citedTopic Modeling Based Multi-modal Depression Detection

151 citations · 402 across the 16 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CR2018★ 25 cited

Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods

Sudip Vhaduri, Christian Poellabauer

The Internet of Things (IoT) is increasingly empowering people with an interconnected world of physical objects ranging from smart buildings to portable smart devices such as weara…

cs.CR2018★ 32 cited

Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues

Yuan Gong, Christian Poellabauer

Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to b…

cs.SD2018★ 3 cited

Towards Learning Fine-Grained Disentangled Representations from Speech

Yuan Gong, Christian Poellabauer

Learning disentangled representations of high-dimensional data is currently an active research area. However, compared to the field of computer vision, less work has been done for…

cs.CL2018★ 151 cited

Topic Modeling Based Multi-modal Depression Detection

Yuan Gong, Christian Poellabauer

Major depressive disorder is a common mental disorder that affects almost 7% of the adult U.S. population. The 2017 Audio/Visual Emotion Challenge (AVEC) asks participants to build…

cs.CR2018★ 27 cited

An Overview of Vulnerabilities of Voice Controlled Systems

Yuan Gong, Christian Poellabauer

Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to b…