QIP Sponsored Short-Term Course
on
Computer Vision- the Artificial Intelligence for an Eye

March 23-28, 2020

Organized By

Pattern Analysis and Machine Intelligence Lab
Discipline of Computer Science & Engineering Indian Institute of Technology Indore
Indore-453552, INDIA

Course Coordinator

Dr. Surya Prakash
Associate Professor & Head
Discipline of Computer Science & Engineering
Indian Institute of Technology Indore
Indore-453552, Madhya Pradesh, INDIA
Phone: +91 731-2438700 (Ext-524)
E-mail: surya@iiti.ac.in

Overview of the Proposed Course

This short-term course will mainly focus on discussing the advanced topics of Computer Vision which is a subset of mainstream artificial intelligence that deals with the technology of enabling computers or machines in general to see; and analyze and interpret what they see.

Resource Persons

1. Dr. Surya Prakash, Associate Professor (CSE, IIT Indore)
2. Dr. Somnath Dey, Associate Professor (CSE, IIT Indore)
3. Dr. Puneet Gupta, Assistant Professor (CSE, IIT Indore)
4. Dr. Vivek Kanhangad, Associate Professor (EE, IIT Indore)

Tentative schedule

The course comprises of lectures and lab sessions. Everyday (except the last day), before lunch (10:00AM to 1:30PM), there will be three lectures of one hour duration (with a break of 15 minutes after each lecture) and after lunch, there will a lab session of two hours duration. On the last day (10:00AM to 1:00PM), there will be two lectures followed by feedback & experience sharing and valedictory sessions.

Tentative Topics to be Covered in the Course

The course will cover traditional as well as neural networks and deep learning based methods for computer vision. Application areas such as Image Classification, Object Detection and Recognition, Face Recognition etc. will be discussed. The course will cover deep learning architectures such as CNN, R-CNN etc. Lab sessions will include programming using Python and Matlab.

How will this short- term course benefit teachers?

Computer Vision is a subset of mainstream artificial intelligence. Due to huge applications of artificial intelligence in solving day to day life problems, it has gained tremendous importance in developing technologies where computer needs to see the surroundings and take decisions accordingly. The computer vision combines theory and technology for building of artificial systems for image interpretation or multi-dimensional data. This course will enable participants to learn basics as well as advanced topics necessary for developing vision based artificial systems. The course will also provide hands-on training to participants to enable them to correlate theory with practice.

Intended Participants (Who can attend?)

The teachers of the AICTE approved Engineering Colleges are eligible under this scheme. Faculty members from the streams such as Computer Science, Information Technology and Electrical / Electronics & Communication Engineering and other related streams can apply under this program. The seats are limited, which would be filled on first come first serve basis and the candidate’s field of research interest. Participants other than teachers of AICTE approved colleges (students and participants from industry etc.) can also attend the course by paying a fee.

Selection Procedure

Seats are limited and will be filled based on the matching research interests of the applicants on First-Cum-First-Serve basis. Fee paid will be refunded in case a candidate is not shortlisted for the course.

How to apply?

To apply please click here. Alternatively, copy the link https://forms.gle/qQxZaaFNd17T45iC8 and paste it on your browser window to open the registration page.

Course Fee

(Category 1) Faculty member from AICTE funded Institutes: Rs. 1,000/-(Caution money, Refundable)
(Category 2) Others: Rs. 3,000/-

Fee paid in both the cases above will be refunded in case a candidate is not shortlisted for the course. However, if a candidate is shortlisted and does not attend the course, no refund of the fee will be provded.

Travel and Accommodation

For all shortlisted candidates’ accommodation and local hospitality will be provided in student’s hostel (guest rooms).
Selected candidates (teachers from AICTE approved colleges) will be entitled for to- and- fro III AC railway fare by shortest route. Local transport by auto rickshaw from Indore railway station/Bus stand to IIT Indore on these days of arrival and departure will be paid (limited to Rs 300/-). Local participants will be given TA charges as per the Institute rules (limited to Rs 300/- per day). They will also be provided free Breakfast, Lunch and Dinner.

Candidates other than teachers from AICTE approved colleges, have to bear their travel and boarding expenses. They will be provied accomodation in student’s hostel (guest rooms). The charges for a room are Rs. 250 per night. The cost of Breakfast, Lunch and Dinner is included in the registration fee.

How to reach IIT Indore?

From Devi Ahilyabai Holkar Airport (IDR:
Devi Ahilyabai Holkar Airport (IDR) is a prominent airport and is about 8 km from the Indore city. The distance between IIT Indore and IDR is about 30 Km and a taxi can be taken to reach IIT Indore campus which approximately costs Rs. 800-900.

From Railway station:
From Railway Station, a taxi which approximately costs Rs. 400-500 can be hired to reach IIT Indore. Distance of IIT Indore is approximately 24 km from the Railway Station.

City Bus Service:
One can board a local bus shuttle service which originates from Bhanwarkuan bus stand (about 5km from railway station) to reach IIT Indore campus. The bus fare from Bhanwarkuan to IIT Indore is Rs. 25 per person.

Last date: March 16, 2020 (Monday)

For any further queries, contact Course Coordinator, Dr. Surya Prakash at surya@iiti.ac.in.

QIP Sponsored Short-Term Course on Computer Vision- the Artificial Intelligence for an Eye