Vinkle Srivastav

According to our database, Vinkle Srivastav authored at least 35 papers between 2015 and 2025.

Collaborative distances:

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

2025

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment.

Farahdiba Zarin, Riccardo Oliva, Vinkle Srivastav, Armine Vardazaryan, Andrea Rosati, Alice Zampolini Faustini, Giovanni Scambia, Anna Fagotti, Pietro Mascagni, Nicolas Padoy

CoRR, July, 2025

Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision.

Soham Walimbe, Britty Baby, Vinkle Srivastav, Nicolas Padoy

CoRR, July, 2025

Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition.

Britty Baby, Vinkle Srivastav, Pooja P. Jain, Kun Yuan, Pietro Mascagni, Nicolas Padoy

CoRR, July, 2025

When do they StOP?: A first step toward 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

Int. J. Comput. Assist. Radiol. Surg., July, 2025

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement.

Kun Yuan, Tingxuan Chen, Shi Li, Joël L. Lavanchy, Christian Heiliger, Ege Özsoy, Yiming Huang, Long Bai, Nassir Navab, Vinkle Srivastav, Hongliang Ren, Nicolas Padoy

CoRR, June, 2025

Text-driven adaptation of foundation models for few-shot surgical workflow analysis.

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

Int. J. Comput. Assist. Radiol. Surg., June, 2025

A Skull-Adaptive Framework for AI-Based 3D Transcranial Focused Ultrasound Simulation.

Vinkle Srivastav, Juliette Puel, Jonathan Vappou, Elijah Van Houten, Paolo Cabras, Nicolas Padoy

CoRR, May, 2025

Multi-view Video-Pose Pretraining for Operating Room Surgical Activity Recognition.

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

CoRR, February, 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

Learning multi-modal representations by watching hundreds of surgical video lectures.

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

Medical Image Anal., 2025

Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes.

Keqi Chen, Vinkle Srivastav, Didier Mutter, Nicolas Padoy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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 approaches for person localization in the operating rooms. (Approches d'adaptation de domaine non supervisées pour la localisation de personnes dans la salle d'opération).

Vinkle Kumar Srivastav

PhD thesis, 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

2017

Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training.

Vinkle Kumar Srivastav, Britty Baby, Ramandeep Singh, Prem Kalra, Ashish Suri

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker.

Britty Baby, Vinkle Kumar Srivastav, Ramandeep Singh, Ashish Suri, Subhashis Banerjee

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015

Internet-enabled Skills Training Platform for neurosurgical training.

Vinkle Kumar Srivastav, Britty Baby, Natesan Damodaran, Ashish Suri

Proceedings of the 7th International Conference on Communication Systems and Networks, 2015