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November 20, 2020 • 19:25 pm

ADASIVA 2020 - Online Course on Advances in Deep Architecture by IIIT Allahabad

?About the Course

• The proposed one-week course will be comprised of approximately 25 lectures followed by 15 hours’ worth of lab demonstration and hands-on approach is intended to help the participants familiarize themselves with Signal & Image Processing, Computer Vision, Biometrics and Machine Learning and pertains to how all of the approaches can be applied to research problems in real life.
   
• The course also covers the essentials of machine learning, deep neural networks as well as the other models how they can be applied to solve practical problems in computer vision so that more people become interested in signal processing.
   

?Objective of Course

• Providing a platform to showcase the research work through the Technical PAPER AND poster presentation.
   
• Building awareness toward deep learning architectures.
   
• Building the technical capacity in the area of Signal, Image, and Vision Processing via deep architectures.
   
• Building Communities of research students, educators, R&D, and Industry persons in the emerging area of research and development.
   
• Providing hands-on tutorial sessions, where the participants can experiment with concepts and methods.
   

?Registration Fees

• Indian participants: Rs. 590/-
• Foreign participants: $118/-
• CVIP 2020 authors (including accepted or rejected papers): Rs. 236/-
• Volunteers (ADASIVA 2020 or CVIP 2020): Free
   

?Registration Process – Interested Candidates fill the google form and submit their details with Registration fees through various modes (UPI, Bank Account)

To Registration for the Course: Click Here!!

?Course Schedule – November 30^th, 2020 to December 05^th, 2020.

?Course Mode - This short term course will be in online mode due to the pandemic.

? Department - COMPUTER VISION & BIOMETRICS LAB, Department of Information Technology, Indian Institute of Information Technology - Allahabad.

? Website Link - https://cvbl.iiita.ac.in/adasiva2020/index.php#page-top

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