SSIP 2017

SUMMER SCHOOL ON IMAGE PROCESSING (SSIP) 2017, NOVI SAD

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Program, SSIP 2017, Novi Sad

Thursday 13th July
 15:30Registration
Rectorate building 
of the University of Novi SadAddress: No.1 Dr Zorana Đinđića Street, Campus of the University of Novi Sad, Novi Sad, Serbia.
 16:00Opening
 16:15Project description
 17:00Familiarizing with the lab
 17:45Team assignment
 18:30End of the first day
 Friday  14th July
  9:00Andras Hajdu, University of Debrecen, HungaryRetinal image analysis ppt
 10:00Coffee break
 10:15Lidija Comic, University of Novi Sad, SerbiaIntroduction to Digital and Computational  Topology ppt
 11:15Coffee break
 11:30Peter Bodnar, University of Szeged, Hungary360 video stabilization ppt
 12:30Lunch
 14:00Lab work, Rectorate Building, multifunctional room, second floor
Tutors: 
Andras Hajdu, Lidija Comic, Peter Bodnar
 18:00End of the second day
Saturday 15th July
  9:00Peter Horvath, Hungarian Academy of Sciences, BRC, Szeged and Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland: Life Beyond the Pixels: Phenotypic Discovery Using Machine Learning and Image Analysis Methods ppt
 10:00Coffee break
 10:15Tibor Lukić, University of Novi Sad, Serbia: Energy Minimization Methods in Image Processing ppt
 11:15Coffee break
 11:30Ratko Obradovic, University of Novi Sad: Computer Animation as a Medium Used for Education and for Entertainment ppt
 12:30Lunch
 14:00Lab work, Rectorate Building, multifunctional room, second floor
Tutors: 
Peter Horvath, Tibor Lukic, Ratko Obradovic
 18:00End of the third day
Sunday 16th July
  9:00Danube boat trip
 14:00Free program
 18:00End of the fourth day
Monday 17th July
  9:00Benedek Nagy, Eastern Mediterranean University, Famagusta, North Cyprusy: Non-conventional grids in digital geometry and in image processing ppt
 10:00Coffee break
 10:15Peter Balazs, University of Szeged, Hungary: Continuous and Discrete Image Reconstruction ppt
 11:15Coffee break
 11:30Csaba Beleznai, Austrian Institute of Technology, Vienna, AustriaTask-oriented Computer Vision in 2D and 3D: from video text recognition to 3D human detection and tracking ppt
 12:30Lunch
 14:00Lab work, Rectorate Building, multifunctional room, second floor
Tutors: 
Benedek Nagy, Peter Balazs, Csaba Beleznai
 18:00End of the fifth day
Tuesday 18th July
   9:00Nebojsa D. Bozanic, University of Novi Sad, Serbia: Deep Neural Nets Brass Tacks ppt
 10:00Coffee break
 10:15Laszlo Czuni, University of Pannonia, Veszprem, HungaryRecognition of 3D objects ppt1  ppt2
 11:15Coffee break 
 11:30Nikola Milosavljevic, Microsoft Development Center SerbiaConvolutional neural networks for semantic segmentation ppt
 12:30Lunch
 14:00Lab work, Rectorate Building, multifunctional room, second floor
Tutors: 
Laszlo Czuni, Nebojsa D. Bozanic, Nikola Milosavljevic
 18:00End of the sixth day
Wednesday 19th July
  9:00Laszlo Varga, University of Szeged, Hungary: Uncertainty of Non-Destructive Interior Imaging Techniques ppt
10:00Coffee break
10:15Slavoljub Miljovic, University of Montenegro, Montenegro: Fundamental problems in image formation and restoration ppt
11:15Coffee break
11:30Vladimir Petrovic, University of Novi Sad, Serbia: Objective Assessment of Image and Video Quality ppt
12:30Lunch
14:00Lab work, Rectorate Building, multifunctional room, second floor
Tutors: 
Laszlo Varga, Slavoljub Mijovic, Vladimir Petrovic
18:00End of the seventh day
Thursday 20th July
  9:00Attila Tanacs, University of Szeged, Hungary: Smartphone Imaging and Image Processing ppt
 10:00Coffee break
 10:15Erich Sorantin, University of Graz, Austria: Noninvasive and multidimensional imaging ppt
 11:15Coffee break
 11:30Kalman Palagyi, University of Szeged, Hungary:  Skeletonization and its applications ppt
 12:30Lunch
 14:00Lab work, Rectorate Building, multifunctional room, second floor
Tutors: 
Attila Tanacs, Erich Sorantin, Kalman Palagyi
 18:00End of the eighth day
Friday 21st July
11:00Test
12:00Lunch
13:00Project evaluation
18:00Gala dinner
Saturday 22nd July
  9:00Closing, Departure
 12:00End of the tenth day

Important notice: For lab work students should use their own personal computers.