Sharvaree P. Vadgama

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Methods In Computer Vision

Geometric Information

Low Dimensional

Top Venues

ICCV (Workshops)

Publications

David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR (2024)
Erik J. Bekkers, Sharvaree P. Vadgama, Rob Hesselink, Putri A. van der Linden, David W. Romero
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. ICLR (2024)
Andrew Draganov, Sharvaree P. Vadgama, Erik J. Bekkers
The Hidden Pitfalls of the Cosine Similarity Loss. CoRR (2024)
Yeskendir Koishekenov, Sharvaree P. Vadgama, Riccardo Valperga, Erik J. Bekkers
Geometric Contrastive Learning. ICCV (Workshops) (2023)
Vivien van Veldhuizen, Sharvaree P. Vadgama, Onno J. de Boer, Sybren L. Meijer, Erik J. Bekkers
Modeling Barrett's Esophagus Progression Using Geometric Variational Autoencoders. CaPTion@MICCAI (2023)
Erik J. Bekkers, Sharvaree P. Vadgama, Rob D. Hesselink, Putri A. van der Linden, David W. Romero
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. CoRR (2023)
Sharvaree P. Vadgama, Jakub M. Tomczak, Erik J. Bekkers
Continuous Kendall Shape Variational Autoencoders. GSI (1) (2023)
Melle B. Vessies, Sharvaree P. Vadgama, Rutger R. van de Leur, Pieter A. F. M. Doevendans, Rutger J. Hassink, Erik Bekkers, René van Es
Interpretable ECG classification via a query-based latent space traversal (qLST). CoRR (2021)