IPTA 2017
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Important Dates
Program
Agenda at a glance
Keynote Speakers
Multi-View Capture of Dynamic Scenes (Edmond Boyer)
Deep Learning Networks – Architectural Evolution and Theoretical Foundation (C.-C. Jay Kuo)
Deep Structured Models for Human Activity Recognition (Greg Mori)
What can be derived from an instance? (Arnold Smeulders)
Learning one task after the other (Tinne Tuytelaars)
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models (William M. Wells III)
Tutorials
Unsupervised Deep Models (Jakob Verbeek)
Medical Image Analysis Using Deep Learning (Oge Marques)
Special Sessions
SS1 - Machine Learning Methods Applied to Medical Image Analysis
SS2 - Deep Learning Architectures for Visual Object Recognition
SS3 - Recognition of affect – Video based and Multimodal Approaches
SS4 - Multimodal Vision in and Beyond the Visible Spectrum
SS5 - Visual Saliency and Image/Video Representation Formats
Submissions
Paper Submission
Camera-Ready Submission
Registration
Venue and Travel
Conference Venue
Accomodations
Visa & Passport Requirements
Invitation Letter
Discovering Montreal
Committees
Contact
Tutorials
The following tutorials are proposed:
Unsupervised Deep Models
by Jakob Verbeek
Medical Image Analysis Using Deep Learning
by Oge Marques