Calm stays, carefully hosted.
LIVIA studies large-scale processing, analysis, and interpretation of images and videos through artificial intelligence.
LIVIA studies the perception and modelling of dynamic environments, including 2D and 3D scenes and speech, with the help of artificial intelligence techniques.
LIVIA's research and development activities are oriented around six main conceptual axes and their fields of application.
LIVIA's techniques solve concrete and complex problems, including detecting tumors or patient depression levels where massive datasets have limited annotations.
For close to 30 years, LIVIA has developed innovations at ÉTS through academic and industrial collaborations, training highly skilled personnel and publishing internationally recognized research. Its members have produced hundreds of publications while supervising graduate students, post-graduate students, and postdoctoral fellows.
Research reputation
ÉTS ranked 6th in CSRankingsMachine learning research applied to connected building control.
Computer vision algorithms adapted to industrial production and inspection.
AI research for eHealth interventions and non-verbal behavioural cues.
Specialized datasets maintained by LIVIA, with the same parent-detail structure as the source site.
The BAH dataset addresses ambivalence and hesitancy recognition in videos for digital behaviour change research, with expert annotations, transcripts, and participant metadata.
SR-CACO-2 supports single-image super-resolution research for confocal fluorescence microscopy, using Caco-2 cell images across several resolution levels and fluorescent markers.
LIVIA consists of professors, researchers, and engineers at ÉTS Montréal pushing the boundaries of machine vision.
Professor / Lab Director
Spatio-temporal pattern recognition, video surveillance & robust AI
Professor
Form optimization, image segmentation & clinical deep learning
Professor
Deep learning on graphs and computational neuroimaging
Professor
3D medical image segmentation and unsupervised domain adaptation
Professor
Intelligent signal perception, sensor processing & embedded AI
Professor
Speech recognition, biophysical signal processing & vision
Professor
Weakly supervised learning and generative visual AI architectures
Professor
Dynamic classifier selection and robust multi-classifier systems
Professor Emeritus
Complex document analysis, handwriting recognition & biometrics
Professor
Differential privacy, secure collaborative machine learning
Professor
3D computer vision, multi-modal image registration & medical biometrics