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
Setup Under Scheme of Department of Electronics and Information Technology
Ministry of Communications and IT, Govt. of India
Principal Coordinator :
Principal Co-Coordinator :
Academic (student/faculty): 500 INR (GEN/OBC) / 250 INR (SC/ST)
Industry People/ Others: 1000 INR/ 500INR (SC/ST)
Bank Name: Allahabad Bank
Account Name: NIT Patna
Account No.: 50380476798
IFSC Code: ALLA0212286
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
| 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 |
Dr. Bharat Gupta
Email: bharat@nitp.ac.in
Dr. M.P Singh
Email: mps@nitp.ac.in
Website: http://old.nitp.ac.in/ict/index.php