Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learningby Francesco Girlanda, Olga Demler, Bjoern Menze, Neda…
Moving Off-the-Grid: Scene-Grounded Video Representationsby Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh…
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensingby Xintian Sun, Benji Peng,…
Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learningby Yuqing Huang, Bastian Wittmann, Olga Demler,…
STARS: Sensor-agnostic Transformer Architecture for Remote Sensingby Ethan King, Jaime Rodriguez, Diego Llanes, Timothy Doster,…
Training objective drives the consistency of representational similarity across datasetsby Laure Ciernik, Lorenz Linhardt, Marco…
Open-set object detection: towards unified problem formulation and benchmarkingby Hejer Ammar, Nikita Kiselov, Guillaume Lapouge,…
Exploiting the Structure of Two Graphs with Graph Neural Networksby Victor M. Tenorio, Antonio G.…
Understanding Self-Supervised Learning via Gaussian Mixture Modelsby Parikshit Bansal, Ali Kavis, Sujay SanghaviFirst submitted to…
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopyby Kian Kenyon-Dean, Zitong Jerry Wang, John…