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

S Tafasca, A Gupta, JM Odobez - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Gaze behaviors such as eye-contact or shared attention are important markers for
diagnosing developmental disorders in children. While previous studies have looked at …

A modular multimodal architecture for gaze target prediction: Application to privacy-sensitive settings

A Gupta, S Tafasca, JM Odobez - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
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 situation …

[HTML][HTML] Depth-aware gaze-following via auxiliary networks for robotics

T Jin, Q Yu, S Zhu, Z Lin, J Ren, Y Zhou… - … Applications of Artificial …, 2022 - Elsevier
Gaze-Following aims to predict the gaze target of a subject within an image, and information
on orientation and depth greatly improves this task. However, previous methods require …

Patch-level gaze distribution prediction for gaze following

Q Miao, M Hoai, D Samaras - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Gaze following aims to predict where a person is looking in a scene, by predicting the target
location, or indicating that the target is located outside the image. Recent works detect the …

Sharingan: A Transformer Architecture for Multi-Person Gaze Following

S Tafasca, A Gupta, JM Odobez - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Gaze is a powerful form of non-verbal communication that humans develop from an early
age. As such modeling this behavior is an important task that can benefit a broad set of …

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

A Gupta, P Vuillecard, A Farkhondeh… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 have …

The AI4Autism Project: A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification

S Tafasca, A Gupta, N Kojovic, M Gelsomini… - … Publication of the 25th …, 2023 - dl.acm.org
Nowadays, 1 in 36 children is diagnosed with autism spectrum disorder (ASD) according to
the Centers for Disease Control and Prevention (CDC)[52], which makes this condition one …

Sharingan: A Transformer-based Architecture for Gaze Following

S Tafasca, A Gupta, JM Odobez - arXiv preprint arXiv:2310.00816, 2023 - arxiv.org
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 …

Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

Q Miao, A Graikos, J Zhang, S Mondal, M Hoai… - … on Computer Vision, 2025 - Springer
Training gaze following models requires a large number of images with gaze target
coordinates annotated by human annotators, which is a laborious and inherently ambiguous …

Visual Saliency Guided Gaze Target Estimation with Limited Labels

C Peng, O Celiktutan - 2024 IEEE 18th International …, 2024 - ieeexplore.ieee.org
Current models of gaze target estimation can present excellent performance, but the
success of these models relies on large-scale annotated datasets. In real-world applications …