Our Research
At AICIL, we conduct foundational and applied research across multiple domains of artificial intelligence. Our work spans from theoretical advances to real-world applications.
Research Areas
Explore our cutting-edge research across multiple AI domains
Computer Vision & Image Processing
Our computer vision research focuses on enabling machines to understand and interpret visual information. We develop state-of-the-art algorithms for object detection, semantic segmentation, image generation, and 3D scene understanding. Our work has applications in autonomous vehicles, medical imaging, surveillance, and augmented reality.
Research Topics
Object Detection & Recognition
Developing efficient algorithms for real-time object detection in complex scenes
Semantic Segmentation
Pixel-level understanding of images for scene parsing and medical imaging
3D Vision & Reconstruction
Reconstructing 3D scenes from 2D images and depth sensors
Medical Image Analysis
AI-powered diagnostic tools for radiology and pathology
Generative Models
Creating realistic images using GANs and diffusion models
Recent Publications
Self-Supervised Learning for 3D Object Detection in Autonomous Driving
Sarah Johnson, Michael Chen, Alex Kim