ICVRL International Computer Vision Research Laboratory
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Core Research Specialization

Object Detection

Real-time detection, localization, and classification of objects in images and video streams.

1 Researchers 1 Projects 2 Publications
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In-Depth Overview

Research Focus & Scope

Object Detection is the backbone of real-time spatial awareness in intelligent systems. ICVRL develops state-of-the-art detection pipelines capable of localizing, identifying, and tracking diverse objects in complex, cluttered, and high-speed visual environments.
Methodological Approach

How We Conduct Research in Object Detection

Our team designs custom single-stage (YOLO variants) and multi-stage detection models, anchor-free feature extractors, deformable attention modules, and multi-scale feature pyramids. We focus heavily on small-object detection in aerial imagery and extreme low-latency processing on embedded edge devices.
Impact & Deployments

Real-World Applications

Pedestrian and vehicle detection in intelligent transportation
Robotic pick-and-place automation
Security perimeter intrusion detection
Drone-based search and rescue aerial localization
Retail automated inventory scanning
Lab Projects

Projects in this Domain

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SkyWatch: Real-Time UAV Object Detection System

A real-time object detection system optimized for UAV-mounted cameras with edge computing capabilities.

active Code
Scholarly Output

Recent Publications

All Publications
conference

Efficient Panoptic Segmentation for Autonomous Driving Scenes

Ahmad Khan, Hassan Ahmed, Ali Raza, Shams ur Rehman

International Conference on Computer Vision (ICCV), 2025

conference

Real-Time Object Detection in Aerial Imagery Using Lightweight Transformers

Ahmad Khan, Ali Raza, Shams ur Rehman

Computer Vision and Pattern Recognition (CVPR), 2025

Tech Stack & Tools

YOLOv8 YOLOv10 RT-DETR Faster R-CNN MMDetection PyTorch TensorRT DeepStream

Active Researchers

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Interested in conducting MS/PhD research or undergraduate projects in Object Detection?

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