Pre-Conference Workshop
Seeing Through AI: Deep Learning for Computer Vision
- Date
- 21 July 2026
- Time
- 09:30 – 12:30
- Venue
- G906, New Building, SLIIT
- Participation Fee
- Free
- Target Audience
- AI Professionals, Academics, Undergraduate and Postgraduate Students
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About this event
Computer vision enables machines to interpret and analyze visual information from images and videos. Powered by deep learning, it has transformed applications such as healthcare, autonomous driving, security, object detection, image segmentation, and 3D scene understanding. This workshop introduces the fundamentals of neural networks and Convolutional Neural Networks (CNNs), explores modern computer vision techniques including generative models and 3D reconstruction, and covers practical topics such as transfer learning, data augmentation, and the challenges of AI-based vision systems.
Key objectives
- Understand the fundamentals of deep learning and neural networks.
- Learn how Convolutional Neural Networks (CNNs) enable image classification, object detection, and image segmentation.
- Explore modern computer vision techniques, including generative models, self-supervised learning, and 3D scene reconstruction.
- Develop practical skills in data preparation, augmentation, transfer learning, and model evaluation.
- Understand real-world applications, limitations, robustness challenges, and ethical considerations in deep-learning-based computer vision.
Speakers
Prof. Akila Subasinghe
Assistant Professor in Computer Science
School of Computer Science, University of Birmingham Dubai (Ph.D. Western University, Canada)
Prof. Eranga Wijesinghe
ModeratorProfessor, Department of Electrical and Electronic Engineering
SLIIT (Ph.D. Kyungpook National University, South Korea)