activity
20182026
most citedMultimodal Polynomial Fusion for Detecting Driver Distraction

23 citations · 49 across the 15 of their papers we have counts for

collaborators

19 papers

cs.CL2026

Breakdown of Conversational Involvement: A Joint Multi-Modal Analysis of Conversation Floors and F-formation Detection with Multiple Features

Zonghuan Li, Chirag Raman, Hayley Hung

Interactions happen universally and spontaneously in daily lives. Studying involvement in interactions helps us analyze who can influence who and has a wide potential in applicatio…

cs.AI2026

GesBench: When and Where Do Multimodal Language Models Perceive Social Meaning?

Zonghuan Li, Hayley Hung, Chirag Raman

Human social perception is incremental: we infer intent before an utterance is complete, revise our interpretation as new cues arrive, and attend to specific facial, gestural, or p…

cs.HC2026

COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention

Zonghuan Li, Litian Li, Arthur Mercier +17

COSI-Lab presents a multimodal multi-sensor dataset of a real interdisciplinary scientific workshop with 32 academics at an international conference. It captures ecologically valid…

cs.CV2026

A Synchronized Audio-Visual Multi-View Capture System

Xiangwei Shi, Gara Dorta, Ruud de Jong +2

Multi-view capture systems have been an important tool in research for recording human motion under controlling conditions. Most existing systems are specified around video streams…

cs.LG2025

Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting

Augustinas Jučas, Chirag Raman

Adaptively forecasting human behavior in social settings is an important step toward achieving Artificial General Intelligence. Most existing research in social forecasting has foc…

cs.SD2024

How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines

Ailin Liu, Pepijn Vunderink, Jose Vargas Quiros +2

Low-frequency audio has been proposed as a promising privacy-preserving modality to study social dynamics in real-world settings. To this end, researchers have developed wearable d…

cs.CV2024

REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild

Jose Vargas Quiros, Chirag Raman, Stephanie Tan +3

Recognizing speaking in humans is a central task towards understanding social interactions. Ideally, speaking would be detected from individual voice recordings, as done previously…

cs.CV2022★ 1 cited

Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces

Chirag Raman, Charlie Hewitt, Erroll Wood +1

Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks. A question arises: how…

cs.HC2022

Perceived Conversation Quality in Spontaneous Interactions

Chirag Raman, Navin Raj Prabhu, Hayley Hung

The quality of daily spontaneous conversations is of importance towards both our well-being as well as the development of interactive social agents. Prior research directly studyin…

cs.LG2022

Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts

Chirag Raman, Hayley Hung, Marco Loog

Forecasting tasks surrounding the dynamics of low-level human behavior are of significance to multiple research domains. In such settings, methods for explaining specific forecasts…

cs.MM2022★ 4 cited

ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild

Chirag Raman, Jose Vargas-Quiros, Stephanie Tan +3

Recording the dynamics of unscripted human interactions in the wild is challenging due to the delicate trade-offs between several factors: participant privacy, ecological validity,…

cs.CV2022★ 2 cited

3D face reconstruction with dense landmarks

Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt +11

Landmarks often play a key role in face analysis, but many aspects of identity or expression cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces mo…

cs.HC2022★ 4 cited

Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction

Maria Tsfasman, Avinash Saravanan, Dekel Viner +5

How human-like do conversational robots need to look to enable long-term human-robot conversation? One essential aspect of long-term interaction is a human's ability to adapt to th…

cs.LG2021★ 1 cited

Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues

Chirag Raman, Hayley Hung, Marco Loog

Free-standing social conversations constitute a yet underexplored setting for human behavior forecasting. While the task of predicting pedestrian trajectories has received much rec…

cs.MA2020

Defining and Quantifying Conversation Quality in Spontaneous Interactions

Navin Raj Prabhu, Chirag Raman, Hayley Hung

Social interactions in general are multifaceted and there exists a wide set of factors and events that influence them. In this paper, we quantify social interactions with a holisti…

eess.SP2020★ 11 cited

A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings

Chirag Raman, Stephanie Tan, Hayley Hung

Existing data acquisition literature for human behavior research provides wired solutions, mainly for controlled laboratory setups. In uncontrolled free-standing conversation setti…

cs.MA2019

Towards automatic estimation of conversation floors within F-formations

Chirag Raman, Hayley Hung

The detection of free-standing conversing groups has received significant attention in recent years. In the absence of a formal definition, most studies operationalize the notion o…

cs.CY2018★ 3 cited

Auto-Grading for 3D Modeling Assignments in MOOCs

Swapneel Mehta, Chirag Raman, Nitin Ayer +1

Bottlenecks such as the latency in correcting assignments and providing a grade for Massive Open Online Courses (MOOCs) could impact the levels of interest among learners. In this…

cs.CV2018★ 23 cited

Multimodal Polynomial Fusion for Detecting Driver Distraction

Yulun Du, Chirag Raman, Alan W Black +2

Distracted driving is deadly, claiming 3,477 lives in the U.S. in 2015 alone. Although there has been a considerable amount of research on modeling the distracted behavior of drive…