Vinkle Srivastav

According to our database, Vinkle Srivastav authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room.

Keqi Chen, Lilien Schewski, Vinkle Srivastav, Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy

CoRR, February, 2025

Text-driven Adaptation of Foundation Models for Few-shot Surgical Workflow Analysis.

Tingxuan Chen, Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy

CoRR, January, 2025

2024

Advancing surgical VQA with scene graph knowledge.

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

Int. J. Comput. Assist. Radiol. Surg., July, 2024

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.

Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge

CoRR, 2024

Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation.

Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition.

Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Jumpstarting Surgical Computer Vision.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation.

Vinkle Srivastav, Keqi Chen, Nicolas Padoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

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