Vinkle Srivastav

According to our database, Vinkle Srivastav authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation.

Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy

CoRR, 2024

2023

Dissecting self-supervised learning methods for surgical computer vision.

Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy

Medical Image Anal., August, 2023

ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri

CoRR, 2023

Advancing Surgical VQA with Scene Graph Knowledge.

Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy

CoRR, 2023

Jumpstarting Surgical Computer Vision.

Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy

CoRR, 2023

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures.

Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy

CoRR, 2023

ST(OR)²: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room.

Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

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

Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

Medical Image Anal., 2022

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.

Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy

CoRR, 2022

2021

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR.

Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

CoRR, 2021

2020

Artificial Intelligence in Surgery: Neural Networks and Deep Learning.

Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy

CoRR, 2020

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

Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach.

Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., 2019

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

Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

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

Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy

CoRR, 2018