Classical Computer Vision vs Deep Learning for Visual Perception Tasks: What to Choose?

Monday, September 16, 18:30-20:00
Ievgen Gorovyi (PhD, CEO @ It-Jim) and Pavlo Vyplavin (CTO @ It-Jim)

Information extraction from images is a rapidly growing research field. Nowadays, deep learning (DL) methods are demonstrating remarkable results in many computer vision (CV) problems like object detection, face and text recognition, action recognition, object recognition and object tracking. Continue reading “Classical Computer Vision vs Deep Learning for Visual Perception Tasks: What to Choose?”

Nonlinear Estimation and Stochastic Modeling

Session Chair: Patrick Dewilde, TU Delft  (The Netherlands), TU Munich (Germany)
Session Organizer: Jan Zarzycki, Wroclaw University of Technology (Poland)
Keynote Speakers:
  • Prof. Patrick Dewilde (TU Delft The Netherlands, TU Munich Germany)
  • Prof. Sankar Basu (National Science Foundation, Washington DC. USA)
  • Prof. John Baras (Univ. of Maryland USA, TU Munich, KTH Stockholm)
  • Prof. Karl Johansson (Royal Institute of Technology Stockholm, Sweden)

Stochastic Modeling is the art of producing an adequate reduced model for a dynamical system driven by one or more stochastic processes.
It is an essential step not only in understanding the behavior of such a system, but also in producing an essential component for `model based control’,
whereby the control law is derived from a good estimate of the system’ structure. Continue reading “Nonlinear Estimation and Stochastic Modeling”

Passive Radar

Session Chair:Mateusz Malanowski, Warsaw University of Technology, Warsaw, Poland
The session is focused on:
  • Clutter filtering
  • Target localization
  • New illuminators of opportunity
  • Multistatic operation
  • Multiband fusion
  • PCL/PET fusion
  • PCL/active radar fusion

Biomedical Image and Signal Processing and Interpretation

Session Chairs: Piotr Augustyniak, AGH University of Science and Technology, Krakow, Poland, Anton Popov, National Technical University of Ukraine “Igor Sykorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine
The session aims to attract original research papers focused on:
  • multimodal sensing in medicine, wearable intelligent sensors,
  • biosignal processing and interpretation,
  • medical imaging, image recognition, fusion etc.
  • medical information techniques,
  • telemedicine, sensor networks,
  • medical data archiving and transmission techniques,
  • safety issues for medical data.

Note: This session appears in the programme as two separate sessions:

  • ECG (Chairs: Piotr Augustyniak, Paulo Marques)
  • EEG (Chairs: Tomasz Pieciak, Anton Popov)

Continue reading “Biomedical Image and Signal Processing and Interpretation”