1 code implementation • 26 Aug 2021 • Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Second, to address the domain shift and the lack of annotations, we propose a novel unsupervised domain adaptation method, called AdaptOR, to adapt a model from an in-the-wild labeled source domain to a statistically different unlabeled target domain.
1 code implementation • 16 Jul 2020 • Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Human pose estimation (HPE) is a key building block for developing AI-based context-aware systems inside the operating room (OR).
1 code implementation • 16 Jul 2020 • Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
2D/3D human pose estimation is needed to develop novel intelligent tools for the operating room that can analyze and support the clinical activities.
no code implementations • 29 Nov 2018 • Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Methods: We propose a comparison of 6 state-of-the-art face detectors on clinical data using Multi-View Operating Room Faces (MVOR-Faces), a dataset of operating room images capturing real surgical activities.
1 code implementation • 24 Aug 2018 • Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy
In this paper, we present the dataset, its annotations, as well as baseline results from several recent person detection and 2D/3D pose estimation methods.
1 code implementation • 25 Jan 2017 • Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy
In this paper, we propose an approach for multi-view 3D human pose estimation from RGB-D images and demonstrate the benefits of using the additional depth channel for pose refinement beyond its use for the generation of improved features.
1 code implementation • 10 Feb 2016 • Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy
Proposed methods for the operating room (OR) rely either on foreground estimation using a multi-camera system, which is a challenge in real ORs due to color similarities and frequent illumination changes, or on wearable sensors or markers, which are invasive and therefore difficult to introduce in the room.