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20172026
most citedEfficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

54 citations · 101 across the 16 of their papers we have counts for

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20 papers · 1 filter

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.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…