6 papers
Self-Supervised Multi-View 3D Gaze Target Estimation via Probabilistic Ray Marching
Keqi Chen, Vinkle Srivastav, Nicolas Padoy
We present a self-supervised approach, Self-MVGTE, for estimating 3D gaze targets from multiple camera views. Unlike existing methods that independently estimate 2D gaze targets pe…
Where are they looking in the operating room?
Keqi Chen, Séraphin Baributsa, Lilien Schewski +5
Purpose: Gaze-following, the task of inferring where individuals are looking, has been widely studied in computer vision, advancing research in visual attention modeling, social sc…
Self-Supervised Uncalibrated Multi-View Video Anonymization in the Operating Room
Keqi Chen, Vinkle Srivastav, Armine Vardazaryan +3
Privacy preservation is a prerequisite for using video data in Operating Room (OR) research. Effective anonymization relies on the exhaustive localization of every individual; even…
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
Keqi Chen, Vinkle Srivastav, Didier Mutter +1
Multi-view person association is a fundamental step towards multi-view analysis of human activities. Although the person re-identification features have been proven effective, they…
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room
Keqi Chen, Lilien Schewski, Vinkle Srivastav +5
Purpose: Surgical performance depends not only on surgeons' technical skills but also on team communication within and across the different professional groups present during the o…
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
Vinkle Srivastav, Keqi Chen, Nicolas Padoy
We present a new self-supervised approach, SelfPose3d, for estimating 3d poses of multiple persons from multiple camera views. Unlike current state-of-the-art fully-supervised meth…