Research
Research Areas and Themes
Document Image Analysis
- Text Recognition and Retrieval
- Recognizers for Indian Languages (Printed, Handwritten, Scenetext)
- Matching and Mining in Large Document Image Databases
- Scene Text Understanding
- Resource creation for Indian languages
- Applications and Systems
Vision, Language and Multimodal Problems
- Tagging, Annotating, Captioning and Describing Images and Videos
- Cross Modal Retrieval
- Language, AI and Human Interface
- Indian Language Processing and Understanding
Broad Computer Vision Problems
- Image and Video Retreival
- Object and Scene Recognition
- Semantic Segmentation
- Robotic Vision
- Machine Learning for Low-Level Vision
Human in Images and Videos
- Faces: Detection, Recognition and Applications
- Human Pose: Estimation and Applications
- Human Activity Recognition
Machine Learning and Optimization
- Deep Learning
- Efficient Structured Prediction
- Graphical Models for Computer Vision Problems
- Learning under Weak and Noisy Supervision
- Applications
Some Application Domains
- Assistive Vision
- Digital Heritage
- Computer Vision fo Sports and Entertainment
- Education