1 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
Towards Generative Class Prompt Learning for Fine-grained Visual Recognition
Soumitri Chattopadhyay, Sanket Biswas, Emanuele Vivoli +1
Although foundational vision-language models (VLMs) have proven to be very successful for various semantic discrimination tasks, they still struggle to perform faithfully for fine-…
FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting
Alloy Das, Sanket Biswas, Umapada Pal +2
The proliferation of scene text in both structured and unstructured environments presents significant challenges in optical character recognition (OCR), necessitating more efficien…
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation Approach
Maria Pilligua, Nil Biescas, Javier Vazquez-Corral +3
The rapid evolution of intelligent document processing systems demands robust solutions that adapt to diverse domains without extensive retraining. Traditional methods often falter…
DocSynthv2: A Practical Autoregressive Modeling for Document Generation
Sanket Biswas, Rajiv Jain, Vlad I. Morariu +5
While the generation of document layouts has been extensively explored, comprehensive document generation encompassing both layout and content presents a more complex challenge. Th…
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee +4
This work explores knowledge distillation (KD) for visually-rich document (VRD) applications such as document layout analysis (DLA) and document image classification (DIC). While V…