activity
20192022
most citedDBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task Videos

Wasifur Rahman, Masum Hasan, Md Saiful Islam +6

In this paper, we investigated whether we can 1) detect participants with ataxia-specific gait characteristics (risk-prediction), and 2) assess severity of ataxia from gait (severi…

cs.DB20211 cited

DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches

Taylan K. Sen, Gazi Naven, Luke Gerstner +11

In this work, we present a database of multimodal communication features extracted from debate speeches in the 2019 North American Universities Debate Championships (NAUDC). Featur…

eess.AS2020

Detecting Parkinson's Disease From an Online Speech-task

Wasifur Rahman, Sangwu Lee, Md. Saiful Islam +9

In this paper, we envision a web-based framework that can help anyone, anywhere around the world record a short speech task, and analyze the recorded data to screen for Parkinson's…

cs.LG2019

Integrating Multimodal Information in Large Pretrained Transformers

Wasifur Rahman, Md. Kamrul Hasan, Sangwu Lee +4

Recent Transformer-based contextual word representations, including BERT and XLNet, have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the trai…

cs.LG2019

UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Md Kamrul Hasan, Wasifur Rahman, Amir Zadeh +5

Humor is a unique and creative communicative behavior displayed during social interactions. It is produced in a multimodal manner, through the usage of words (text), gestures (visi…