STC on CV
This course will be conducted in online mode.

We received an overwhelming response and got around 300 registrations. It was not possible to accommodate all, hence shortlisting was carried out based on the research interests of the participants. Preference was given to those whose research interest was aligned with the theme of the STC. We were also unable to consider a few participants who did not upload the required documents. Our sincere apologies to those who could not be accommodated.

All the shortlisted participants have been intimated.

If you have registered under "Paid category" and have not received any intimation to join the course, please write to us at pamilab@iiti.ac.in.



Click here to fill the course registration form.
Click here to download the course brochure.
Download the Format for the Certificate of AICTE Recognition of the Institute


Organized By

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

Course Coordinator

Dr. Surya Prakash
Associate Professor
Department of Computer Science & Engineering
Indian Institute of Technology Indore
Indore-453552, Madhya Pradesh, INDIA
Phone: +91-731-660-3242
E-mail: surya@iiti.ac.in

Overview of the Course

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

Resource Persons

The course will host experts and specialists in the domain of Computer Vision and Artificial Intelligence. The following is the tentative list of experts who will deliver talk in the course.

1. Dr. Surya Prakash, CSE, IIT Indore
2. Dr. Somnath Dey, CSE, IIT Indore
3. Dr. Puneet Gupta, CSE, IIT Indore
4. Dr. Vivek Kanhangad, EE, IIT Indore
5. Dr. Nagendra Kumar, CSE, IIT Indore
6. Dr. Gaurav Bhatnagar, Maths, IIT Jodhpur
7. Dr. Masilamani V, CSE, IIIT Kanchipuram
8. Dr. Umarani J, CSE, IIIT Kanchipuram
9. Dr. Puneet Goyal, CSE, IIT Ropar
10. Dr. Chandresh Maurya, CSE, IIT Indore
11. Dr. Ranveer Singh, CSE, IIT Indore
12. Dr. Renata Lopes Rosa, CSE, Federal University of Lavras, Brazil
13. Dr. Piyush Joshi, CSE, Indian Institute of Information Technology, Sri City
14. Dr. G Iyyakutti Iyappan, Khalifa University, UAE


Tentative schedule

The course comprises of lecture and tutorial sessions where each day will have three sessions of one and half hour duration each. Session-1 will be from 10:30AM-12:00PM, Session-2 will be from 12:00-1:30PM, and Session-3 will run from 3:00-4:30PM. The last day will have a test and a feedback session. A lecture on National Education Policy 2020 will also conducted in during the course.

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, Biometric Recognition etc. will be discussed. The course will cover deep learning architectures such as CNN, R-CNN etc. A few tutorial sessions be conducted involving programming using Python and Matlab. Tentative topics to be covered are as follows.

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.

Intended Participants (Who can attend?)

The teachers of the AICTE approved engineering colleges are eligible to attend this course under this scheme without paying any fee. 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?

Application form can be submitted by filling the online form. To apply for the course, click here. Alternatively, copy the link https://forms.gle/kRTRT52uiRvyyMbG7 and paste it on your browser window to open the registration page.

Course Fee

(Category 1) Faculty Members from AICTE Approved Institutes: No fee
(Category 2) Faculty Members/Students from Non-AICTE Approved Institutes and Students from AICTE Approved Institutes: Rs. 3,000/- (including 18% GST)
(Category 3) Participant from Industry/ Business organization: Rs. 15,000/- (including 18% GST)
(Category 4) Participant from outside India: USD 500 (including 18% GST)

As stated above under Category 1, there is no fee for the faculty members of AICTE approved institutes. However, a certificate of AICTE recognition of the Institute from the Head of the Department (in the format provided here) must be uploaded at the time to online application form submission through the provided link.

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

Participation Certificate

All the participants will get the course participation certificate after successful completion of the course.

Sample Certificate

Last date for registration: February 18, 2022 (Friday)



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