Vinkle Srivastav

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Pose Estimation

Computer Vision

Top Venues

Medical Image Anal.

Int. J. Comput. Assist. Radiol. Surg.

Publications

Vinkle Srivastav, Keqi Chen, Nicolas Padoy
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation. CoRR (2024)
Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation. CoRR (2024)
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) (2024)
Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition. CoRR (2024)
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 (2023)
Kun Yuan, Manasi Kattel, Joël L. Lavanchy, Nassir Navab, Vinkle Srivastav, Nicolas Padoy
Advancing Surgical VQA with Scene Graph Knowledge. CoRR (2023)
Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri
: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room. MIDL (2023)
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 (2023)
Deepak Alapatt, Aditya Murali, Vinkle Srivastav, Pietro Mascagni, AI4SafeChole Consortium, Nicolas Padoy
Jumpstarting Surgical Computer Vision. CoRR (2023)
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 (2023)
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 (2022)
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room. Medical Image Anal. 80 (2022)
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR. CoRR (2021)
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation. MICCAI (1) (2020)
Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, Nicolas Padoy
Artificial Intelligence in Surgery: Neural Networks and Deep Learning. CoRR (2020)
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. CoRR (2020)
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation. CoRR (2020)
Vinkle Srivastav, Afshin Gangi, Nicolas Padoy
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images. MICCAI (5) (2019)
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) (2019)
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 (2018)
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 (2018)