Machine Learning for Computer Vision

Resource Persons:

  • Prof. P.K. Biswas, IIT Kharagpur
  • Dr. Partha Pratim Roy, IIT Roorkee
  • Dr. Santosh Viparthi, MNIT Jaipur
  • Prof. Aparajita Ojha, IIITDM Jabalpur
  • 1 full day session by an expert from NVIDIA

Principal Coordinator :
  • Prof. Aparajita Ojha, IIITDM Jabalpur
Principal Co-coordinator :
  • Dr. Santosh Kumar Vipparthi ,MNIT, Jaipur

June 29-July 8 , 2020


Apply Online

Program Coordinator :
Dr. Ayan Seal, IIITDM Jabalpur

Course Fee Details:
Course fee 500/- for (student/faculty), 1000/- for others
50% discount for ST/SC participants

Payment Details:
Bank Name: Allahabad Bank \Indian Bank
A/C No. : 50302042708
IFSC Code: ALLA0212433
Brach Name: Mehgawan, IIITDM Branch
(Allahabad bank is merged with Indian Bank from April 1, 2020)

Course contents:

S.No. Module Name Topics
1 Introduction to Image Processing and Computer Vision (CV) Introduction to Computer Vision, Main Goals and Challenges, Structure of Human Eye and Vision, Color Models, Image Processing Goals and Tasks, Image Enhancement, Edge Detection, Segmentation
2 Introduction to Artificial Intelligence (AI) and Machine Learning (ML) Introduction to Artificial Intelligence and Machine Learning, Supervised and Unsupervised Learning, Feature Extraction using Local Patterns and their applications to Image Processing and CV: Image Classification, Image Enhancement, Segmentation.
3 Introduction to Deep Learning (DL) Basic differences of Conventional ML and DL approaches, Feed forward Neural Networks (NN), Back propagation, Stochastics Gradient Method and Variants, Regularization, and Optimization. Types of NNs and limitations. Applications of NN in Image Processing and CV.
4 Convolutional Neural Network architectures (CNN) for CV The Convolution Operation, Motivation, Pooling, Basic architecture of a Convolution Neural Network CNN as feature extractors, Image classification using CNN, Image Enhancement and Segmentation, Introduction to GAN
5 Motion Detection and Depth Estimation (DE) Optical Flow, Flow Net and their Versions, Stereo Vision, DL based Depth Estimation
6 Object Detection using CNN R-CNN, Faster R-CNN, YOLO, SSD and more recent models for Object Detection.
7 Applications of CNN Face Detection and Recognition using CNN, Siamese Network and Triplet Loss. Recent Advances

Core Team Members, E&ICT Academy:

Prof Aparajita Ojha

Prof. Vijay Kumar Gupta

Prof. P.N. Kondekar

Dr. Atul Gupta

Dr. Prashant Kumar Jain


Contact us :
Maj Neha Rawat (Retd) : +9893443284
Business Manager,
Electronics and ICT Academy
PDPM Indian Institute of Information Technology,
Design and Manufacturing, Jabalpur,
Dumna Airport Road, Jabalpur 482005