37 citations · 160 across the 27 of their papers we have counts for
11 papers · 1 filter
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Cyrille Simon, Pascal Frossard, Christophe De Vleeschouwer
This paper explores self-supervised disentangled representation learning within sequential data, focusing on separating time-independent and time-varying factors in videos. We prop…
Keypoint Promptable Re-Identification
Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi
Occluded Person Re-Identification (ReID) is a metric learning task that involves matching occluded individuals based on their appearance. While many studies have tackled occlusions…
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis
Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer
This work introduces a novel augmentation method that increases the diversity of a train set to improve the generalization abilities of a 6D pose estimation network. For this purpo…
Leveraging Neural Radiance Fields for Pose Estimation of an Unknown Space Object during Proximity Operations
Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer
We address the estimation of the 6D pose of an unknown target spacecraft relative to a monocular camera, a key step towards the autonomous rendezvous and proximity operations requi…
Domain Generalization for In-Orbit 6D Pose Estimation
Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer
We address the problem of estimating the relative 6D pose, i.e., position and orientation, of a target spacecraft, from a monocular image, a key capability for future autonomous Re…
Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysis
Alexandre Englebert, Anne-Sophie Collin, Olivier Cornu +1
This paper proposes leveraging vision-language pretraining on bone X-rays paired with French reports to address downstream tasks of interest on bone radiography. A practical proces…
Self-Avatar Animation in Virtual Reality: Impact of Motion Signals Artifacts on the Full-Body Pose Reconstruction
Antoine Maiorca, Seyed Abolfazl Ghasemzadeh, Thierry Ravet +3
Virtual Reality (VR) applications have revolutionized user experiences by immersing individuals in interactive 3D environments. These environments find applications in numerous fie…
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Benoît Gérin, Anaïs Halin, Anthony Cioppa +5
In the era of the Internet of Things (IoT), objects connect through a dynamic network, empowered by technologies like 5G, enabling real-time data sharing. However, smart objects, n…
SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap
Vladimir Somers, Victor Joos, Anthony Cioppa +11
Tracking and identifying athletes on the pitch holds a central role in collecting essential insights from the game, such as estimating the total distance covered by players or unde…
Camera clustering for scalable stream-based active distillation
Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer +1
We present a scalable framework designed to craft efficient lightweight models for video object detection utilizing self-training and knowledge distillation techniques. We scrutini…
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking
Amir M. Mansourian, Vladimir Somers, Christophe De Vleeschouwer +1
Effective tracking and re-identification of players is essential for analyzing soccer videos. But, it is a challenging task due to the non-linear motion of players, the similarity…