Research area
Computer Vision
Enabling machines to interpret and reason about images, video, and the visual world.
Overview
Computer Vision
Enabling machines to interpret and reason about images, video, and the visual world.
Areas of interest
01Image classification
02Object detection
03Semantic segmentation
04Scene understanding
05Video analysis
063D vision
07Visual tracking
08Vision-language models
Projects in this area
All projects →Projects in this area will appear here as they are published.
Recent publications across DRAKA Labs
All publications →A Computational Model for Improving Spare Network Intermittent Connectivity Problems in Vehicular Ad Hoc Networks (Vanets)Journal article
Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot BenchmarkJournal article · 2026
Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic ArbitrationJournal article · 2026
A comparative study of explainability methods for time-series forecasting of blood glucose levelsJournal article · 2026