Probabilistic Vision Group

The probabilistic vision group is part of the McGill Centre for Intelligent machines. The focus of our research is on developing probabilistic inference techniques for computer vision problems. Such problems often involve processing noisy data; probabilistic approaches are then appropriate as they allow for uncertainty to be modelled and propagated through the solution process. Choosing to represent the solution to a computer vision problem as a probability distribution over many possible solutions makes it possible to measure the ambiguity of the results and provide guidelines as to whether more data should be acquired, when possible. Applications include, but are not limited to

  • Object recognition
  • Active vision
  • Image segmentation
  • Image registration
  • Image-guided neurosurgery

New postdoctoral position available, see the Positions tab for more information.

New PhD student position available, see the Positions tab for more information.

Follow PVG on Twitter

Congratulations to Andrew Jesson for winning second place in the Longitudinal MS Lesion Segmentation Challenge, held at the 2015 International Symposium on Biomedical Imaging in New York

Congratulations to Dr. Zahra Karimaghaloo, winner of the CIPPRS Doctoral Dissertation Award 2014
Thesis: "Hierarchical Adaptive Voxel and Textural Conditional Random Field for Enhanced Pathology Segmentation"

Bioengineering article in online eNewsletter

Bioengineering article in online ebulletin


Ruslana Makovetsky (PhD)
Qing Tian (PhD, co-supervised by Prof. James Clark)
Andrew Jesson (Masters)
Alexandre Hutton (PhD)
Tanya Nair (Masters)
Ian Watt (Masters)
Nazanin Mohammadi Sepahvand (PhD)
Raghav Mehta (PhD)
Research Associates
Paul Lemaitre
Chris Donnelly (Microsoft)
Meltem Demirkus (Computer vision and machine leaning scientist, OSRAM)
Andrew Doyle (Software Developer, McGill Centre for Integrative Neuroscience)
Colm Elliott (NeuroRx Research)
Nagesh Subbanna (Lead Computer Scientist, Sigtuple Technologies)
Maor Zaltzhendler
Dante De Nigris
Zahra Karimaghaloo (now with NeuroRx Research)
Rola Harmouche (Postdoc at Brigham & Women's Hospital & Harvard Medical School)
Frank Riggi (Software Engineer in Driver Assistance at the Chassis Controls division of Robert Bosch in Plymouth, Michigan)
Matt Toews (Professor at ETS)
Rupert Brooks (Senior Programmer at OSSimTech)
Cathy Laporte (now a professor at ETS)
Mohak Shah
Boris Oreshkin (Applied Research Scientist at ElementAI)
Lian Xin He


Medical Imaging Laboratory
McGill Center For Intelligent Machines
3480 University Street Room 412
Montréal, Québec
Canada H3A 2A7
(514) 398-8702 (514) 398-7348 arbel (at) cim.mcgill.ca