12 citations · 58 across the 14 of their papers we have counts for
17 papers
HW-MLVQA: Elucidating Multilingual Handwritten Document Understanding with a Comprehensive VQA Benchmark
Aniket Pal, Ajoy Mondal, Minesh Mathew +1
The proliferation of MultiLingual Visual Question Answering (MLVQA) benchmarks augments the capabilities of large language models (LLMs) and multi-modal LLMs, thereby enabling them…
Health Sentinel: An AI Pipeline For Real-time Disease Outbreak Detection
Devesh Pant, Rishi Raj Grandhe, Vipin Samaria +13
Early detection of disease outbreaks is crucial to ensure timely intervention by the health authorities. Due to the challenges associated with traditional indicator-based surveilla…
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering
Soumya Jahagirdar, Minesh Mathew, Dimosthenis Karatzas +1
Researchers have extensively studied the field of vision and language, discovering that both visual and textual content is crucial for understanding scenes effectively. Particularl…
Reading Between the Lanes: Text VideoQA on the Road
George Tom, Minesh Mathew, Sergi Garcia +2
Text and signs around roads provide crucial information for drivers, vital for safe navigation and situational awareness. Scene text recognition in motion is a challenging problem,…
Watching the News: Towards VideoQA Models that can Read
Soumya Jahagirdar, Minesh Mathew, Dimosthenis Karatzas +1
Video Question Answering methods focus on commonsense reasoning and visual cognition of objects or persons and their interactions over time. Current VideoQA approaches ignore the t…
Towards Deployable OCR models for Indic languages
Minesh Mathew, Ajoy Mondal, CV Jawahar
Recognition of text on word or line images, without the need for sub-word segmentation has become the mainstream of research and development of text recognition for Indian language…