activity
20192021
collaborators

7 papers

cs.CV2021

ScreenSeg: On-Device Screenshot Layout Analysis

Manoj Goyal, Rachit S Munjal, Sukumar Moharana +3

We propose a novel end-to-end solution that performs a Hierarchical Layout Analysis of screenshots and document images on resource constrained devices like mobilephones. Our approa…

cs.CV2021

TeLCoS: OnDevice Text Localization with Clustering of Script

Rachit S Munjal, Manoj Goyal, Rutika Moharir +1

Recent research in the field of text localization in a resource constrained environment has made extensive use of deep neural networks. Scene text localization and recognition on l…

cs.CV2020

On-device Filtering of Social Media Images for Efficient Storage

Dhruval Jain, DP Mohanty, Sanjeev Roy +2

Artificially crafted images such as memes, seasonal greetings, etc are flooding the social media platforms today. These eventually start occupying a lot of internal memory of smart…

cs.CL2020

On-Device Information Extraction from SMS using Hybrid Hierarchical Classification

Shubham Vatsal, Naresh Purre, Sukumar Moharana +2

Cluttering of SMS inbox is one of the serious problems that users today face in the digital world where every online login, transaction, along with promotions generate multiple SMS…

cs.CL2020

An Efficient Architecture for Predicting the Case of Characters using Sequence Models

Gopi Ramena, Divija Nagaraju, Sukumar Moharana +2

The dearth of clean textual data often acts as a bottleneck in several natural language processing applications. The data available often lacks proper case (uppercase or lowercase)…

cs.CV2020

On- Device Information Extraction from Screenshots in form of tags

Sumit Kumar, Gopi Ramena, Manoj Goyal +4

We propose a method to make mobile screenshots easily searchable. In this paper, we present the workflow in which we: 1) preprocessed a collection of screenshots, 2) identified scr…