Max Mignotte 
  Professor

Brief Vitae & Research Topics

I have received the Master of Sciences (Electronics and Telecommunications) (1992) from UTV, France, the DEA (Postgraduate degree) in Digital Signal, Image and Speech processing from the INPG University, France (Grenoble), in 1993, and the Ph.D. degree in electronics and computer engineering from the University of Bretagne Occidentale (UBO) and from the digital signal laboratory (GTS) of the French Naval Academy, and IRISA, France, (with a DGA-DRET-CNRS grant) in 1998. I was an INRIA post-doctoral fellow at University of Montreal (DIRO), Canada (Québec), from September 1998 to September 1999. I was also a teaching assistant and a lecturer at University of Montreal from September 1999 to July 2000. I am currently with DIRO at the Computer Vision & Geometric Modeling Lab as an full Professor (Professeur titulaire) at University of Montreal. I am also a member of LIO (Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du CHUM, Hôpital Notre-Dame), searcher at CHUM and member of the Biomedical Science and Technologies Research Group (GRSTB).


My current research interests include statistical methods and Bayesian inference for image segmentation, hierarchical models for high-dimensional inverse problems from early vision, fusion, parameters estimation, tracking, classification, shape recognition, deconvolution and restoration problems in medical or sonar imagery.

Recent & Selected Publications

  1. L. Khelifi, M. Mignotte. Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis. IEEE Access, July 2020, vol. 8 : 126385-126400.
  2. M. Mignotte. A fractal projection and Markovian segmentation-based approach for multimodal change detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS), June 2020, accepted.
  3. O.K. Toffa, M. Mignotte. A hierarchical visual feature-based approach for image sonification. IEEE Transactions on Multimedia (TM), April 2020, accepted.
  4. R. Touati, M. Mignotte, M. Dahmane. Multimodal change detection in remote sensing images using an unsupervised pixel pairwise-based Markov Random Field model. IEEE Transactions on Image Processing (TIP), 29 (1) : 757-767, January 2020.
  5. L. Khelifi, M. Mignotte. MC-SSM: Nonparametric semantic image segmentation with the ICM algorithm. IEEE Transactions on Multimedia (TM), 21 (8) :1946-1959, August 2019.
Complete list (and pdf files if available)

Contact Information

E-mail
mignotte@iro.umontreal.ca
Phone (514) 343 5747
Fax (514) 343 5834
Postal Address Dépt. d'Informatique et R.O.
Université de Montréal,
C.P. 6128, succ. Centre-Ville,
Montréal (Québec), Canada, H3C 3J7.
Physical Location Local   2377 / 2384
Dépt. d'Informatique et R.O.
Université de Montréal
Pavillon André-Aisenstadt,
2920, chemin de la Tour,
Montréal (Québec), Canada, H3T 1J4.
Coord. Lat.:.. 45 deg. 30 min. 17 sec.
Long.: 73 deg. 36 min. 46 sec.
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