9 citations · 43 across the 11 of their papers we have counts for
11 papers
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
Harichandana B S S, Vibhav Agarwal, Sourav Ghosh +3
With 3.78 billion social media users worldwide in 2021 (48% of the human population), almost 3 billion images are shared daily. At the same time, a consistent evolution of smartpho…
On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification
Rutika Moharir, Arun D Prabhu, Sukumar Moharana +2
Automatic identification of script is an essential component of a multilingual OCR engine. In this paper, we present an efficient, lightweight, real-time and on-device spatial atte…
STRIDE : Scene Text Recognition In-Device
Rachit S Munjal, Arun D Prabhu, Nikhil Arora +2
Optical Character Recognition (OCR) systems have been widely used in various applications for extracting semantic information from images. To give the user more control over their…
Codeswitched Sentence Creation using Dependency Parsing
Dhruval Jain, Arun D Prabhu, Shubham Vatsal +2
Codeswitching has become one of the most common occurrences across multilingual speakers of the world, especially in countries like India which encompasses around 23 official langu…
On-Device Tag Generation for Unstructured Text
Manish Chugani, Shubham Vatsal, Gopi Ramena +2
With the overwhelming transition to smart phones, storing important information in the form of unstructured text has become habitual to users of mobile devices. From grocery lists…
On-Device Sentence Similarity for SMS Dataset
Arun D Prabhu, Nikhil Arora, Shubham Vatsal +3
Determining the sentence similarity between Short Message Service (SMS) texts/sentences plays a significant role in mobile device industry. Gauging the similarity between SMS data…
On-Device Text Image Super Resolution
Dhruval Jain, Arun D Prabhu, Gopi Ramena +4
Recent research on super-resolution (SR) has witnessed major developments with the advancements of deep convolutional neural networks. There is a need for information extraction fr…
On-Device Language Identification of Text in Images using Diacritic Characters
Shubham Vatsal, Nikhil Arora, Gopi Ramena +4
Diacritic characters can be considered as a unique set of characters providing us with adequate and significant clue in identifying a given language with considerably high accuracy…
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…
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)…
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…