activity
20202026
most citedLIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network

12 citations · 59 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CL2026

AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification

Sourav Ghosh, Yash Bhatia, Keshav Goyal +3

To minimize privacy concerns and inference latency on edge devices like smartphones, lightweight on-device models remain important for end-user applications. Many of these applicat…

cs.CV2025★ 1 cited

PhysID: Physics-based Interactive Dynamics from a Single-view Image

Sourabh Vasant Gothe, Ayon Chattopadhyay, Gunturi Venkata Sai Phani Kiran +6

Transforming static images into interactive experiences remains a challenging task in computer vision. Tackling this challenge holds the potential to elevate mobile user experience…

cs.CV2025

An Independent Discriminant Network Towards Identification of Counterfeit Images and Videos

Shayantani Kar, B. Shresth Bhimrajka, Aditya Kumar +4

Rapid spread of false images and videos on online platforms is an emerging problem. Anyone may add, delete, clone or modify people and entities from an image using various editing…

cs.CV2024★ 2 cited

What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection

Sourabh Vasant Gothe, Vibhav Agarwal, Sourav Ghosh +3

Generic Event Boundary Detection (GEBD) task aims to recognize generic, taxonomy-free boundaries that segment a video into meaningful events. Current methods typically involve a ne…

cs.CL2024★ 5 cited

TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy

Vibhav Agarwal, Sourav Ghosh, Harichandana BSS +2

Data-to-text (D2T) generation is a crucial task in many natural language understanding (NLU) applications and forms the foundation of task-oriented dialog systems. In the context o…

cs.CV2023★ 3 cited

An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours

Shuvadeep Masanta, Ramyashree Pramanik, Sourav Ghosh +1

Congestion in traffic is an unavoidable circumstance in many cities in India and other countries. It is an issue of major concern. The steep rise in the number of automobiles on th…

cs.DB2022★ 3 cited

eDWaaS: A Scalable Educational Data Warehouse as a Service

Anupam Khan, Sourav Ghosh, Soumya K. Ghosh

The university management is perpetually in the process of innovating policies to improve the quality of service. Intellectual growth of the students, the popularity of university…

cs.CL2022★ 1 cited

LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech

Harshvardhan Anand, Nansi Begam, Richa Verma +3

Existing Text-to-Speech (TTS) systems need to read messages from the email which may have Personal Identifiable Information (PII) to text messages that can have a streak of emojis…

cs.CV2022★ 9 cited

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…

cs.CL2021★ 12 cited

LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network

Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh +2

Intent detection is a crucial task in any Natural Language Understanding (NLU) system and forms the foundation of a task-oriented dialogue system. To build high-quality real-world…

cs.CY2021★ 3 cited

Measuring Domain Knowledge for Early Prediction of Student Performance: A Semantic Approach

Anupam Khan, Sourav Ghosh, Soumya K. Ghosh

The growing popularity of data mining catalyses the researchers to explore various exciting aspects of education. Early prediction of student performance is an emerging area among…

cs.CL2021★ 7 cited

Real-Time Optimized N-gram For Mobile Devices

Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh +4

With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domai…

cs.CL2021★ 8 cited

Language Detection Engine for Multilingual Texting on Mobile Devices

Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani +3

More than 2 billion mobile users worldwide type in multiple languages in the soft keyboard. On a monolingual keyboard, 38% of falsely auto-corrected words are valid in another lang…

cs.CL2021★ 2 cited

edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts

Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi +1

Abugida refers to a phonogram writing system where each syllable is represented using a single consonant or typographic ligature, along with a default vowel or optional diacritic(s…

cs.CL2021★ 1 cited

LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning

Sonal Kumari, Vibhav Agarwal, Bharath Challa +4

Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, for…

cs.CL2020★ 2 cited

EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts

Vibhav Agarwal, Sourav Ghosh, Kranti Chalamalasetti +4

Word emphasis in textual content aims at conveying the desired intention by changing the size, color, typeface, style (bold, italic, etc.), and other typographical features. The em…