8 citations · 8 across the 5 of their papers we have counts for
5 papers · 1 filter
Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation
Philippe Baumstimler, Jean-Mathieu Gagnon, Sébastien Gagné +3
Anterior eye segment (AES) segmentation is a key component of both ocular biometrics and emerging clinical image analysis applications. However, heterogeneous acquisition condition…
Human Pose Estimation in Trampoline Gymnastics: How to Improve Performance on Extreme Poses
Léa Drolet-Roy, Victor Nogues, Bérenger Chedal-Anglay +4
Trampoline gymnastics involves extreme human poses and uncommon viewpoints, on which state-of-the art pose estimation models tend to under-perform. We demonstrate that this problem…
Real-time, accurate, and open source upper-limb musculoskeletal analysis using a single RGBD camera
Amedeo Ceglia, Kael Facon, Mickaël Begon +1
Biomechanical biofeedback may enhance rehabilitation and provide clinicians with more objective task evaluation. These feedbacks often rely on expensive motion capture systems, whi…
Predicting Next Local Appearance for Video Anomaly Detection
Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud
We present a local anomaly detection method in videos. As opposed to most existing methods that are computationally expensive and are not very generalizable across different video…
Local Anomaly Detection in Videos using Object-Centric Adversarial Learning
Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud
We propose a novel unsupervised approach based on a two-stage object-centric adversarial framework that only needs object regions for detecting frame-level local anomalies in video…