This three-day workshop delves into advanced image processing techniques, object detection and segmentation algorithms, and cutting-edge facial recognition methods. Participants will engage in hands-on sessions and case studies to understand the practical applications and challenges in computer vision.

Aim

To provide PhD scholars and academicians with advanced skills in computer vision and image processing. This course aims to deepen understanding of high-level image processing, object detection, segmentation techniques, and facial recognition, enhancing research and practical applications.

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Workshop Objectives

Master advanced image processing techniques.
Implement state-of-the-art object detection and segmentation algorithms.
Develop and optimize facial recognition systems.
Apply computer vision techniques to real-world problems.
Enhance research and practical implementation skills.

Workshop Structure

Day 1: Advanced Image Processing Techniques

Lecture Topics:
- High-level image processing techniques: Super-resolution, Style Transfer
- Advanced filtering and edge detection methods
Discussion & Case Studies:
- Applications in art and media restoration
- Practical implementation challenges

Day 2: Advanced Object Detection and Segmentation

Lecture Topics:
- Latest algorithms: YOLO, SSD, Mask R-CNN
- Real-time object detection and tracking
Discussion & Case Studies:
- Applications in autonomous systems and surveillance
- Interactive session with real-world datasets

Day 3: Cutting-Edge Facial Recognition

Lecture Topics:
- Advanced techniques: FaceNet, DeepFace
- Ethical and privacy considerations
Discussion & Case Studies:
- Applications in security and user authentication
- Practical implementation and challenges

Participant’s Eligibility

Data scientists, computer vision engineers, AI researchers, and academicians in AI and computer vision.

Important Dates

Registration Ends

2024-11-02
Indian Standard Timing 1:00 pm

Workshop Dates

2024-11-02 to 2024-11-04
Indian Standard Timing 5 PM

Workshop Outcomes

Design and optimize advanced image processing systems.
Implement and fine-tune state-of-the-art object detection and segmentation models.
Develop advanced facial recognition systems with ethical considerations.
Apply computer vision techniques to practical applications in various fields.
Conduct high-level research in computer vision and AI.

Mentor Profile

Name: Karar Haider
Designation: AI – Engg
Affiliation: ML1

MR. SYED KRAR HAIDER BUKHARI is Lecturer in the Department of Computer Science and associated with Faculty of Computer Science and Information Technology, Superior University, Lahore. He received the Master of Science degree in computer science (MSCS) from FAST NUCES Islamabad, Pakistan in 2022. He has 5+ years of experience in Artificial Intelligence, machine learning, image processing, computer Vision, deep Learning ,NLP and Generative AI.He is currently working as an Data Scientist at digital DirAction. He is mentor and AI / ML Trainer at DirAction. He worked remotely as an AI / ML engineer at TPL UK based company. He is Editorial Board Member at STM Journals. He also worked remotely as an AI / ML engineer. He recived distinguished awards in research funds for his publications.His research publication includes in the areas of artificial intelligence, machine learning, image processing, computer Vision, NLP, and deep learning.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2699
USD. 85

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