Advancing healthcare and information extraction through state-of-the-art computer vision and deep learning.
Explore Our ResearchAt the iMeDIA lab, we develop robust, scalable, and intelligent AI solutions. Our primary domains include analyzing complex medical imaging data for computer-aided diagnosis, video anomaly detection, and extracting structured information from unstructured document images using OCR and layout analysis.
We collaborate with clinical experts and industry partners to bridge the gap between theoretical machine learning and real-world application.
Developing AI models to analyze retinal fundus images and infrared dryeye images to assist radiologists in early detection of anomalies and diseases.
Creating algorithms capable of reading, understanding, and structuring data from scanned documents, historical archives, and handwritten notes.
Combining visual data (images) with textual data (clinical reports or document text) to create comprehensive AI reasoning systems.
Leveraging neural networks to learn powerful data representations. Generating realistic data using GANs, VAEs, and diffusion-based models.
Analyzing spatial and temporal patterns in video data. Enabling tasks like action recognition, event or anomaly detection, and scene interpretation.
Detecting and localizing objects in images and videos with high precision. Tracking their movement across frames for real-time and intelligent analysis.
We are pleased to announce that our recent research on deep learning based dry eye segmentation has been featured in …
Pre-thesis Submission (Open) Seminar of Mr. Suvramalya Basak (RSI2022003) will be held on 23 April 2026 at 11:30 AM in …
Our paper, "DualDiffSeg: Dual-head Diffusion Probabilistic Model for Meibomian Glands Segmentation", received the Best Paper Award at CICT 2025. Congratulations …
Paper presented at ICPR 2024 by Suvramalya Basak. The work was titled "Multi-teacher Importance Preserving Knowledge Distillation for Early Violence …
Associate Professor
javed@iiita.ac.in
Specializes in Document Image Analysis, Handwriting Recognition, and Deep Learning applications.
Assistant Professor
anjaligautam@iiita.ac.in
Specializes in Medical Image Analysis and Deep Learning applications.
Research Scholar
rsi2022003@iiita.ac.in
Video Anomaly Detection
Research Scholar
rsi2024005@iiita.ac.in
Document Image Analysis
Research Scholar
rsi2024501@iiita.ac.in
Retinal Image Analysis
Research Scholar
rsi2024503@iiita.ac.in
Document Analysis
Research Scholar
rsi2025509@iiita.ac.in
Generative AI
Research Scholar
rsi2026007@iiita.ac.in
Generative AI
Junior Research Assistant
prf.vivek@iiita.ac.in
Alt Text Generation
Address: Room 5402 Computer Center-III (CC3)
Indian Institute of Information Technology
Allahabad, Uttar Pradesh 211015, India
Email: imedia.iiita@gmail.com