activity
20172026
most citedDeep Neural Networks for Multiple Speaker Detection and Localization

204 citations · 426 across the 23 of their papers we have counts for

collaborators

27 papers

cs.CV2026

Micro-Expression-Aware Avatar Fingerprinting via Inter-Frame Feature Differencing

Masoumeh Chapariniya, Jean-Marc Odobez, Volker Dellwo +1

Avatar fingerprinting, i.e., verifying who drives a synthetic talking-head video rather than whether it is real, is a critical safeguard for authorized use of face-reenactment tech…

cs.CV2026

End-to-End Shared Attention Estimation via Group Detection with Feedback Refinement

Chihiro Nakatani, Norimichi Ukita, Jean-Marc Odobez

This paper proposes an end-to-end shared attention estimation method via group detection. Most previous methods estimate shared attention (SA) without detecting the actual group of…

cs.CV2025

Investigating Identity Signals in Conversational Facial Dynamics via Disentangled Expression Features

Masoumeh Chapariniya, Pierre Vuillecard, Jean-Marc Odobez +2

This work investigates whether individuals can be identified solely through the pure dynamical components of their facial expressions, independent of static facial appearance. We l…

cs.CV2025

Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels

Pierre Vuillecard, Jean-Marc Odobez

Accurate 3D gaze estimation in unconstrained real-world environments remains a significant challenge due to variations in appearance, head pose, occlusion, and the limited availabi…

cs.RO2025

Giving Sense to Inputs: Toward an Accessible Control Framework for Shared Autonomy

Shalutha Rajapakshe, Jean-Marc Odobez, Emmanuel Senft

While shared autonomy offers significant potential for assistive robotics, key questions remain about how to effectively map 2D control inputs to 6D robot motions. An intuitive fra…

cs.CV2024

Loose Social-Interaction Recognition in Real-world Therapy Scenarios

Abid Ali, Rui Dai, Ashish Marisetty +5

The computer vision community has explored dyadic interactions for atomic actions such as pushing, carrying-object, etc. However, with the advancement in deep learning models, ther…

cs.CV2024

ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild

Arya Farkhondeh, Samy Tafasca, Jean-Marc Odobez

Hand-Object Interaction (HOI) is gaining significant attention, particularly with the creation of numerous egocentric datasets driven by AR/VR applications. However, third-person v…

cs.CV2024

Weakly-supervised Autism Severity Assessment in Long Videos

Abid Ali, Mahmoud Ali, Jean-Marc Odobez +4

Autism Spectrum Disorder (ASD) is a diverse collection of neurobiological conditions marked by challenges in social communication and reciprocal interactions, as well as repetitive…

cs.CV2024★ 2 cited

Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following

Anshul Gupta, Pierre Vuillecard, Arya Farkhondeh +1

Contextual cues related to a person's pose and interactions with objects and other people in the scene can provide valuable information for gaze following. While existing methods h…

cs.RO2024

GeoSACS: Geometric Shared Autonomy via Canal Surfaces

Shalutha Rajapakshe, Atharva Dastenavar, Michael Hagenow +2

We introduce GeoSACS, a geometric framework for shared autonomy (SA). In variable environments, SA methods can be used to combine robotic capabilities with real-time human input in…

cs.CV2024★ 1 cited

A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction

Anshul Gupta, Samy Tafasca, Arya Farkhondeh +2

Gaze following and social gaze prediction are fundamental tasks providing insights into human communication behaviors, intent, and social interactions. Most previous approaches add…

cs.CV2023★ 2 cited

Sharingan: A Transformer-based Architecture for Gaze Following

Samy Tafasca, Anshul Gupta, Jean-Marc Odobez

Gaze is a powerful form of non-verbal communication and social interaction that humans develop from an early age. As such, modeling this behavior is an important task that can bene…

cs.CV2023

A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings

Anshul Gupta, Samy Tafasca, Jean-Marc Odobez

Predicting where a person is looking is a complex task, requiring to understand not only the person's gaze and scene content, but also the 3D scene structure and the person's situa…

cs.CV2023

ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour

Samy Tafasca, Anshul Gupta, Jean-Marc Odobez

Gaze behaviors such as eye-contact or shared attention are important markers for diagnosing developmental disorders in children. While previous studies have looked at some of these…

cs.CV2021

Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

Angel Martínez-González, Michael Villamizar, Jean-Marc Odobez

We propose to leverage Transformer architectures for non-autoregressive human motion prediction. Our approach decodes elements in parallel from a query sequence, instead of conditi…

cs.RO2021

An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning

Marco Ewerton, Angel Martínez-González, Jean-Marc Odobez

Humans effortlessly solve pushing tasks in everyday life but unlocking these capabilities remains a challenge in robotics because physics models of these tasks are often inaccurate…

cs.SD2020★ 2 cited

IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

Yihui Fu, Zhuoyuan Yao, Weipeng He +9

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speech Challenge (ASC) is intended to improve research on keyword spotting (KWS) and sound source location (SSL)…

cs.CV2020

Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation

Angel Martínez-González, Michael Villamizar, Olivier Canévet +1

We propose to leverage recent advances in reliable 2D pose estimation with Convolutional Neural Networks (CNN) to estimate the 3D pose of people from depth images in multi-person H…

cs.CV2019★ 54 cited

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Angel Martínez-González, Michael Villamizar, Olivier Canévet +1

Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered for instance in HRI set…

cs.CV2019★ 3 cited

Unsupervised Representation Learning for Gaze Estimation

Yu Yu, Jean-Marc Odobez

Although automatic gaze estimation is very important to a large variety of application areas, it is difficult to train accurate and robust gaze models, in great part due to the dif…

cs.CV2019★ 33 cited

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Angel Martínez-González, Michael Villamizar, Olivier Canévet +1

We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-person pose estimation algorithm applicable to Human…

cs.RO2019★ 19 cited

MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces

Mary Ellen Foster, Bart Craenen, Amol Deshmukh +27

In the EU-funded MuMMER project, we have developed a social robot designed to interact naturally and flexibly with users in public spaces such as a shopping mall. We present the la…

cs.CV2019★ 7 cited

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

Yu Yu, Gang Liu, Jean-Marc Odobez

As an indicator of human attention gaze is a subtle behavioral cue which can be exploited in many applications. However, inferring 3D gaze direction is challenging even for deep ne…

cs.CV2019★ 99 cited

A Differential Approach for Gaze Estimation

Gang Liu, Yu Yu, Kenneth A. Funes Mora +1

Non-invasive gaze estimation methods usually regress gaze directions directly from a single face or eye image. However, due to important variabilities in eye shapes and inner eye s…