11 citations · 30 across the 12 of their papers we have counts for
4 papers · 1 filter
Weakly supervised cross-modal learning in high-content screening
Watkinson Gabriel, Cohen Ethan, Bourriez Nicolas +3
With the surge in available data from various modalities, there is a growing need to bridge the gap between different data types. In this work, we introduce a novel approach to lea…
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
Nicolas Bourriez, Ihab Bendidi, Ethan Cohen +4
Unlike color photography images, which are consistently encoded into RGB channels, biological images encompass various modalities, where the type of microscopy and the meaning of e…
Prompt Performance Prediction for Image Generation
Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix
The ability to predict the performance of a query before results are returned has been a longstanding challenge in Information Retrieval (IR) systems. Inspired by this task, we int…
No Free Lunch in Self Supervised Representation Learning
Ihab Bendidi, Adrien Bardes, Ethan Cohen +3
Self-supervised representation learning in computer vision relies heavily on hand-crafted image transformations to learn meaningful and invariant features. However few extensive ex…