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ELECTRONICS AND ICT ACADEMY AT NATIONAL INSTITUTE OF TECHNOLOGY PATNA

Setup Under Scheme of Department of Electronics and Information Technology

Ministry of Communications and IT, Govt. of India

NIT Patna Logo

Machine Learning for Computer Vision


Principal Coordinator :

  • Prof. Aparajita Ojha, IIITDM Jabalpur

Co-Principal Coordinator :

  • Prof. M. P. Singh, NIT Patna
  • Dr. Suyel Namasudra, NIT Patna
  • Dr. R. Balasubrmanian, IIT Roorkee
  • Prof. RBV Subramanyam, NIT Warangal
  • Dr. Meenakshi Tripathi, MNIT Jaipur

Course Fee Details:

Academic (student/faculty): 500 INR

Industry People/ Others: 1000 INR

Foreign Participants: 4000 INR

Payment Details:

Bank Name: Allahabad Bank (Merge to Indian Bank)

Account Name: NIT Patna

Account No.: 50380476798

IFSC Code: IDIB000B810


Resource Persons:

EXPERTS/SPEAKERS - Prof. Shantanu Chaudhury, Director IIT Jodhpur; Dr. Suresh Sundaram, IITG; Prof. H. Fujiyoshi, Chubu Univ. Japan; Prof. Barbara Zitova, Acad Sci. Czech Republic; Dr. Amit Sethi, IITB; Prof. Sumantra Dutta Roy, IITD; Prof. P. Guha, Prof. Aparajita Ojha, IIITDM Jabalpur, Dr. Santosh Viparthi, MNIT Jaipur


Course contents:

MODULES TOPICS :

  • Introduction to Image Processing and Computer Vision (CV), Main Goals and Challenges of CV, Image Processing Goals and Tasks
  • Traditional Approaches in Image Processing, Feature Extraction and Their Applications to Image Processing: Natural Image Classification, Image Enhancement, Edge Detection, Segmentation, Image Denoising
  • Introduction to Artificial Intelligence (AI) and Machine Learning (ML), Supervised and Unsupervised Learning, Traditional ML Approaches
  • Neural Network as a Learning Machine, Forward and Backward Propagation, Applications in Computer Vision, Image Classification
  • Training Neural Networks, Optimization, Regularization
  • Introduction to Deep Learning (DL), Basic Differences Between Conventional ML and DL Approaches, Challenges in Training Deep Neural Networks, Vanishing/Exploding Gradient Problems
  • Recent Trends in ML for CV
  • Introduction to Convolutional Neural Networks, The Convolution Operation, Basic Architecture of a Convolution Neural Network, Pooling and Batch Normalization Layers
  • CNNs as Feature Extractors, Image Classification Using CNN
  • State of the Art Deep CNN Architectures, CNN for Image Enhancement and Segmentation
  • Autoencoder for Feature Extraction and Image Enhancement, Applications of CNN in Agriculture, Medical Image Analysis, and Satellite Imagery

Core Team Members, E&ICT Academy, NIT Patna:

Dr. Bharat Gupta (CI E & ICT Academy, NIT Patna)

Email: bharat@nitp.ac.in

Dr. M.P Singh (CO-CI E & ICT Academy, NIT Patna)

Email: mps@nitp.ac.in

Website: http://old.nitp.ac.in/ict/index.php

Contact us :

Electronics and ICT Academy

National Institute of Technology, Patna

AshokRajpath, Patna 800005

Email: eictapatna@nitp.ac.in

Website: http://old.nitp.ac.in/ict