16 citations · 44 across the 12 of their papers we have counts for
6 papers · 1 filter
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation
Amirreza Farnoosh, Sarah Ostadabbas
Humans naturally perceive a 3D scene in front of them through accumulation of information obtained from multiple interconnected projections of the scene and by interpreting their c…
Facial Expression and Peripheral Physiology Fusion to Decode Individualized Affective Experience
Yu Yin, Mohsen Nabian, Miolin Fan +3
In this paper, we present a multimodal approach to simultaneously analyze facial movements and several peripheral physiological signals to decode individualized affective experienc…
A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines
Shuangjun Liu, Sarah Ostadabbas
Deep learning approaches have been rapidly adopted across a wide range of fields because of their accuracy and flexibility, but require large labeled training datasets. This presen…
MMDF2018 Workshop Report
Chun-An Chou, Xiaoning Jin, Amy Mueller +1
Driven by the recent advances in smart, miniaturized, and mass produced sensors, networked systems, and high-speed data communication and computing, the ability to collect and proc…
Inner Space Preserving Generative Pose Machine
Shuangjun Liu, Sarah Ostadabbas
Image-based generative methods, such as generative adversarial networks (GANs) have already been able to generate realistic images with much context control, specially when they ar…
The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems
Adaeze Adigwe, Noé Tits, Kevin El Haddad +2
In this paper, we present a database of emotional speech intended to be open-sourced and used for synthesis and generation purpose. It contains data for male and female actors in E…