collaborators

5 papers

cs.CV2026

Seeing Straight: Document Orientation Detection for Efficient OCR

Suranjan Goswami, Abhinav Ravi, Raja Kolla +5

Despite significant advances in document understanding, determining the correct orientation of scanned or photographed documents remains a critical pre-processing step in the real…

cs.CL2026

Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages

Shaharukh Khan, Ali Faraz, Abhinav Ravi +6

Multimodal research has predominantly focused on single-image reasoning, with limited exploration of multi-image scenarios. Recent models have sought to enhance multi-image underst…

cs.CV2026

Designing Production-Scale OCR for India: Multilingual and Domain-Specific Systems

Ali Faraz, Raja Kolla, Ashish Kulkarni +1

Designing Optical Character Recognition (OCR) systems for India requires balancing linguistic diversity, document heterogeneity, and deployment constraints. In this paper, we study…

cs.CV2025

IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs

Ali Faraz, Akash, Shaharukh Khan +6

Vision-language models (VLMs) have demonstrated impressive generalization across multimodal tasks, yet most evaluation benchmarks remain Western-centric, leaving open questions abo…

cs.AI2025

Chitrarth: Bridging Vision and Language for a Billion People

Shaharukh Khan, Ayush Tarun, Abhinav Ravi +7

Recent multimodal foundation models are primarily trained on English or high resource European language data, which hinders their applicability to other medium and low-resource lan…