output
20092026
most citedA distillation-based approach integrating continual learning and federated learning for pervasive services

33 citations

researchers with a paper here
collaborating institutions

18 papers

cs.CV2026

Calibration-Free 3D Multi-Camera People Tracking for Indoor Environment

Ponleur Veng, Dominique Vaufreydaz, Phutphalla Kong

Multi-Camera People Tracking (MCPT) traditionally relies on precise intrinsic and extrinsic camera calibration to project 2D detections into a unified 3D world coordinate system.Ho…

eess.SP2026

Listen to the Features: Voice Anonymization Driven by Content Embedding Matching over Signal Reconstruction

Adrien Schneider, Kacper Zabkowski, Anderson Augusma +3

The paper presents a voice anonymization model focusing on preserving content rather than producing realistic speech. It relies on content embeddings extracted from a frozen pretra…

cs.CV2026

Variational Encoder--Multi-Decoder (VE-MD) for Privacy-by-functional-design (Group) Emotion Recognition

Anderson Augusma, Dominique Vaufreydaz, Fédérique Letué

Group Emotion Recognition (GER) aims to infer collective affect in social environments such as classrooms, crowds, and public events. Many existing approaches rely on explicit indi…

eess.IV2026

Polyhedral Unmixing: Bridging Semantic Segmentation with Hyperspectral Unmixing via Polyhedral-Cone Partitioning

Antoine Bottenmuller, Etienne Decencière, Petr Dokládal

Semantic segmentation and hyperspectral unmixing are two central problems in spectral image analysis. The former assigns each pixel a discrete label corresponding to its material c…

cs.HC2026

''I don't want to break it'': An Exploration of Perceived Fragility in Shape-Changing Interfaces

Eva Mackamul, Tom Maillard, Noé Marceaul +6

Shape-Changing Interfaces (SCIs) dynamically alter their form, an inherent characteristic that introduces fragility into their design. As a result, users' perceptions of an interfa…

eess.AS2025

Exploring Dynamic Parameters for Vietnamese Gender-Independent ASR

Sotheara Leang, Éric Castelli, Dominique Vaufreydaz +1

The dynamic characteristics of speech signal provides temporal information and play an important role in enhancing Automatic Speech Recognition (ASR). In this work, we characterize…