activity
20182022
most citedEnd-to-End Resume Parsing and Finding Candidates for a Job Description using BERT

38 citations · 196 across the 34 of their papers we have counts for

collaborators

56 papers

eess.AS2024

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion

Ashishkumar Gudmalwar, Ishan D. Biyani, Nirmesh Shah +2

The Emotional Voice Conversion (EVC) aims to convert the discrete emotional state from the source emotion to the target for a given speech utterance while preserving linguistic con…

cs.CL2022

A novel multimodal dynamic fusion network for disfluency detection in spoken utterances

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar +2

Disfluency, though originating from human spoken utterances, is primarily studied as a uni-modal text-based Natural Language Processing (NLP) task. Based on early-fusion and self-a…

cs.CR2022

GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System

Mohit Agrawal, Pragyan Mehrotra, Rajesh Kumar +1

Previous studies have shown that commonly studied (vanilla) implementations of touch-based continuous authentication systems (V-TCAS) are susceptible to active adversarial attempts…

cs.CV20221 cited

FaIRCoP: Facial Image Retrieval using Contrastive Personalization

Devansh Gupta, Aditya Saini, Drishti Bhasin +5

Retrieving facial images from attributes plays a vital role in various systems such as face recognition and suspect identification. Compared to other image retrieval tasks, facial…

cs.CL2022

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances

Sreyan Ghosh, Sonal Kumar, Yaman Kumar Singla +2

Existing approaches in disfluency detection focus on solving a token-level classification task for identifying and removing disfluencies in text. Moreover, most works focus on leve…

cs.CL20226 cited

LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents

Debanjan Mahata, Navneet Agarwal, Dibya Gautam +5

Identifying keyphrases (KPs) from text documents is a fundamental task in natural language processing and information retrieval. Vast majority of the benchmark datasets for this ta…