8 citations · 20 across the 10 of their papers we have counts for
12 papers
MAViC: Multimodal Active Learning for Video Captioning
Gyanendra Das, Xavier Thomas, Anant Raj +1
A large number of annotated video-caption pairs are required for training video captioning models, resulting in high annotation costs. Active learning can be instrumental in reduci…
Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs
Trisha Mittal, Puneet Mathur, Rohan Chandra +5
We present a computational approach for estimating emotion contagion on social media networks. Built on a foundation of psychology literature, our approach estimates the degree to…
Multilingual and Multimodal Abuse Detection
Rini Sharon, Heet Shah, Debdoot Mukherjee +1
The presence of abusive content on social media platforms is undesirable as it severely impedes healthy and safe social media interactions. While automatic abuse detection has been…
3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos
Vikram Gupta, Trisha Mittal, Puneet Mathur +5
We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj. 3MASSIV…
ADIMA: Abuse Detection In Multilingual Audio
Vikram Gupta, Rini Sharon, Ramit Sawhney +1
Abusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR…
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
Vikram Gupta
Virtual Adversarial Training (VAT) has been effective in learning robust models under supervised and semi-supervised settings for both computer vision and NLP tasks. However, the e…