activity
20112023
most citedAn Interactive Medical Image Segmentation Framework Using Iterative Refinement

26 citations · 45 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 1 cited

TransDocAnalyser: A Framework for Offline Semi-structured Handwritten Document Analysis in the Legal Domain

Sagar Chakraborty, Gaurav Harit, Saptarshi Ghosh

State-of-the-art offline Optical Character Recognition (OCR) frameworks perform poorly on semi-structured handwritten domain-specific documents due to their inability to localize a…

cs.CV2021★ 5 cited

EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA

Arka Ujjal Dey, Ernest Valveny, Gaurav Harit

The open-ended question answering task of Text-VQA often requires reading and reasoning about rarely seen or completely unseen scene-text content of an image. We address this zero-…

cs.CV2020

Action Quality Assessment using Siamese Network-Based Deep Metric Learning

Hiteshi Jain, Gaurav Harit, Avinash Sharma

Automated vision-based score estimation models can be used as an alternate opinion to avoid judgment bias. In the past works the score estimation models were learned by regressing…

cs.IR2016

Extraction of Layout Entities and Sub-layout Query-based Retrieval of Document Images

Anukriti Bansal, Sumantra Dutta Roy, Gaurav Harit

Layouts and sub-layouts constitute an important clue while searching a document on the basis of its structure, or when textual content is unknown/irrelevant. A sub-layout specifies…

cs.CV2016★ 26 cited

An Interactive Medical Image Segmentation Framework Using Iterative Refinement

Pratik Kalshetti, Manas Bundele, Parag Rahangdale +4

Image segmentation is often performed on medical images for identifying diseases in clinical evaluation. Hence it has become one of the major research areas. Conventional image seg…

cs.CV2011★ 11 cited

Topographic Feature Extraction for Bengali and Hindi Character Images

Soumen Bag, Gaurav Harit

Feature selection and extraction plays an important role in different classification based problems such as face recognition, signature verification, optical character recognition…