32 citations · 112 across the 11 of their papers we have counts for
12 papers
A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation
Vinkle Srivastav, Juliette Puel, Jonathan Vappou +3
Transcranial focused ultrasound (tFUS) is an emerging modality for non-invasive brain stimulation and therapeutic intervention, offering millimeter-scale spatial precision and the…
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…
Live Laparoscopic Video Retrieval with Compressed Uncertainty
Tong Yu, Pietro Mascagni, Juan Verde +3
Searching through large volumes of medical data to retrieve relevant information is a challenging yet crucial task for clinical care. However the primitive and most common approach…
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
The fine-grained localization of clinicians in the operating room (OR) is a key component to design the new generation of OR support systems. Computer vision models for person pixe…
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
Tong Yu, Nicolas Padoy
This paper tackles a new problem in computer vision: mid-stream video-to-video retrieval. This task, which consists in searching a database for content similar to a video right as…
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
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. The lack of annotated data and…
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
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). The 24/7 use of images coming from cameras mounted…
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach
Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi +1
Purpose: Face detection is a needed component for the automatic analysis and assistance of human activities during surgical procedures. Efficient face detection algorithms can inde…
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi +3
Person detection and pose estimation is a key requirement to develop intelligent context-aware assistance systems. To foster the development of human pose estimation methods and th…
A generalizable approach for multi-view 3D human pose regression
Abdolrahim Kadkhodamohammadi, Nicolas Padoy
Despite the significant improvement in the performance of monocular pose estimation approaches and their ability to generalize to unseen environments, multi-view (MV) approaches ar…
A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Many approaches have been proposed for human pose estimation in single and multi-view RGB images. However, some environments, such as the operating room, are still very challenging…
Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data
Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin +1
Reliable human pose estimation (HPE) is essential to many clinical applications, such as surgical workflow analysis, radiation safety monitoring and human-robot cooperation. Propos…