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ORCIDVinkle Srivastav
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2020 – today
- 2024
[j4]Kun Yuan, Manasi Kattel, Joël L. Lavanchy
, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing surgical VQA with scene graph knowledge. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1409-1417 (2024)- [c7]Vinkle Srivastav, Keqi Chen, Nicolas Padoy:
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CVPR 2024: 2502-2512 - [c6]Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation. ISBI 2024: 1-5 - [c5]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition. MICCAI (6) 2024: 306-316 - [c4]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. MICCAI (6) 2024: 328-338 - [i14]Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation. CoRR abs/2402.14611 (2024) - [i13]Vinkle Srivastav, Keqi Chen, Nicolas Padoy:
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CoRR abs/2404.02041 (2024) - [i12]Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy:
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition. CoRR abs/2405.10075 (2024) - 2023
- [j3]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:
Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 88: 102844 (2023) - [c3]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. MIDL 2023: 1254-1268 - [i11]Kun Yuan, Vinkle Srivastav, Tong Yu, Joël L. Lavanchy, Pietro Mascagni, Nassir Navab, Nicolas Padoy:
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures. CoRR abs/2307.15220 (2023) - [i10]Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy:
Jumpstarting Surgical Computer Vision. CoRR abs/2312.05968 (2023) - [i9]Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy:
Advancing Surgical VQA with Scene Graph Knowledge. CoRR abs/2312.10251 (2023) - [i8]Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri:
ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. CoRR abs/2312.12250 (2023) - 2022
- [j2]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. Medical Image Anal. 80: 102525 (2022) - [i7]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:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR abs/2207.00449 (2022) - 2021
- [i6]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. CoRR abs/2108.11801 (2021) - 2020
- [c2]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation. MICCAI (1) 2020: 761-771 - [i5]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. CoRR abs/2007.08340 (2020) - [i4]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation. CoRR abs/2007.08354 (2020) - [i3]Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy:
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. CoRR abs/2009.13411 (2020)
2010 – 2019
- 2019
- [j1]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1049-1058 (2019) - [c1]Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. MICCAI (5) 2019: 583-591 - 2018
- [i2]Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy:
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. CoRR abs/1808.08180 (2018) - [i1]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach. CoRR abs/1811.12296 (2018)
Coauthor Index
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