activity
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 2019Show all

7 papers · 1 filter

cs.NI2019

Beyond Beaconing: Emerging Applications and Challenges of BLE

Jian Yang, Christian Poellabauer, Pramita Mitra +1

As an emerging technology with exceptional low energy consumption and low-latency data transmissions, Bluetooth Low Energy (BLE) has gained significant momentum in various applicat…

cs.CV2019★ 106 cited

Second-order Non-local Attention Networks for Person Re-identification

Bryan, Xia, Yuan Gong +2

Recent efforts have shown promising results for person re-identification by designing part-based architectures to allow a neural network to learn discriminative representations fro…

cs.SI2019★ 3 cited

The power of dynamic social networks to predict individuals' mental health

Shikang Liu, David Hachen, Omar Lizardo +3

Precision medicine has received attention both in and outside the clinic. We focus on the latter, by exploiting the relationship between individuals' social interactions and their…

cs.CR2019

Summary: Multi-modal Biometric-based Implicit Authentication of Wearable Device Users

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.CR2019★ 8 cited

Real-Time Adversarial Attacks

Yuan Gong, Boyang Li, Christian Poellabauer +1

In recent years, many efforts have demonstrated that modern machine learning algorithms are vulnerable to adversarial attacks, where small, but carefully crafted, perturbations on…

cs.SI2019★ 4 cited

Heterogeneous network approach to predict individuals' mental health

Shikang Liu, Fatemeh Vahedian, David Hachen +4

Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predic…

cs.CR2019★ 2 cited

ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems

Yuan Gong, Jian Yang, Jacob Huber +2

This paper introduces a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs). In contrast to p…