Search Results for author: Afshin Gangi

Found 7 papers, 6 papers with code

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room

1 code implementation26 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.

Privacy Preserving Semi-Supervised Human Pose Estimation +3

Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images

1 code implementation16 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).

Pose Estimation Privacy Preserving +1

Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation

1 code implementation16 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.

3D Human Pose Estimation 3D Pose Estimation +1

Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach

no code implementations29 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.

Domain Adaptation Face Detection

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

1 code implementation24 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.

3D Human Pose Estimation 3D Pose Estimation +2

A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms

1 code implementation25 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.

3D Human Pose Estimation

Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data

1 code implementation10 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.

Pose Estimation

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