Organizing
Department: Department of Embedded
Technology, School of Electronics Engineering
Event Date: 01/07/2019 -- 01/11/2019
(MM/DD/YYYY)
Last Date: 01/05/2019 (MM/DD/YYYY)
Address: Vellore, Tamilnadu, India
Registration
Fee:
For External Participants:
INR 4000 /-
For Internal Participants (VIT) : INR 2000 /-
For Internal Participants (VIT) : INR 2000 /-
College/University/Organization Website: http://www.vit.ac.in/
Event Website / Brochure link:
http://www.vit.ac.in/events/eventView/Deep%20Learning%20for%20Computer%20Vision
Email Address: hemprasad.patil@vit.ac.in
About Event:
Deep learning is a rapidly growing area of Artificial
Intelligence which deals with analysis and design of automated computer based
algorithms for yielding efficient representations of data at various
abstraction levels. Deep learning is attaining unparalleled levels of
accuracy—to the extent that the deep learning algorithms are able to overtake
humans at classifying images and speech.
Computer vision is a research domain that stems from physics and pattern recognition and deals with the approaches about making computers gain high-level understanding (inference) from raw data in the form of images or videos.
This workshop will facilitate deep learning and computer vision researchers, professors and industry executives to share their expertise and knowledge with participants. It will offer a collaborative forum for discussion on recent and on-going developments, key issues and challenges, and practices in deep learning for computer vision.
Computer vision is a research domain that stems from physics and pattern recognition and deals with the approaches about making computers gain high-level understanding (inference) from raw data in the form of images or videos.
This workshop will facilitate deep learning and computer vision researchers, professors and industry executives to share their expertise and knowledge with participants. It will offer a collaborative forum for discussion on recent and on-going developments, key issues and challenges, and practices in deep learning for computer vision.
Who Can
Participate?
Industry persons, Faculty
Members, Research Scholars, Students
Accommodation
Details:
Yes, on additional payment
basis
Other Details:
Contact Details:
Dr. Hemprasad Patil,
+91-9096019335
For any
clarification about this event, please contact the above mentioned address.
A Five days National Level
Workshop On “Deep Learning for Computer Vision”-2018-Vellore Institute of
Technology, Vellore-Vellore-Tamilnadu-India
See Also
DLCV 2019-Vellore January 2019. Vellore Institute of Technology,
Vellore-Tamilnadu