Smart Interaction and Machine Intelligence Technologies Lab
Conducting cutting-edge research in computer vision and deep learning, focusing on face analysis and biometric traits.
Research Areas
Our Expertise
Core Facial Image Processing
Face detection, recognition, modeling, and demographic analysis.
Abstract & Subjective Face Analysis
Expression recognition, action unit detection, and attractiveness analysis.
Mobile Gaming
Social games, computer vision applications, and augmented reality experiences.
News
Latest Updates
SROBB Paper Accepted at ICCV 2019
Our paper, titled, SROBB: Targeted Perceptual Loss for Single Image Super Resolution, is accepted @ Intl. Conf. on Computer Vision (ICCV) 2019.
Multitask Learning Paper Accepted at Neurocomputing
Our paper, titled, Benefiting from Multitask Learning to Improve Single Image Super-Resolution, is accepted for publication @ Neurocomputing.
FUNSD Dataset Paper Accepted at ICDAR-OST 2019
Our paper, titled, FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents, is accepted @ ICDAR-OST 2019.