activity
20152026
most citedStarting engagement detection towards a companion robot using multimodal features

62 citations · 112 across the 9 of their papers we have counts for

collaborators

14 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…

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.AS2022

Preliminary Study on SSCF-derived Polar Coordinate for ASR

Sotheara Leang, Eric Castelli, Dominique Vaufreydaz +1

The transition angles are defined to describe the vowel-to-vowel transitions in the acoustic space of the Spectral Subband Centroids, and the findings show that they are similar am…

cs.CV2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

Yangtao Wang, Xi Shen, Shell Hu +3

Transformers trained with self-supervised learning using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects. In this…

cs.RO202110 cited

Navigation In Urban Environments Amongst Pedestrians Using Multi-Objective Deep Reinforcement Learning

Niranjan Deshpande, Dominique Vaufreydaz, Anne Spalanzani

Urban autonomous driving in the presence of pedestrians as vulnerable road users is still a challenging and less examined research problem. This work formulates navigation in urban…

cs.NE202023 cited

Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network

Niranjan Deshpande, Dominique Vaufreydaz, Anne Spalanzani

Decision making for autonomous driving in urban environments is challenging due to the complexity of the road structure and the uncertainty in the behavior of diverse road users. T…