1 citations · 1 across the 3 of their papers we have counts for
3 papers
Plots Unlock Time-Series Understanding in Multimodal Models
Mayank Daswani, Mathias M. J. Bellaiche, Marc Wilson +11
While multimodal foundation models can now natively work with data beyond text, they remain underutilized in analyzing the considerable amounts of multi-dimensional time-series dat…
Self-Supervised Single-Image Deconvolution with Siamese Neural Networks
Mikhail Papkov, Kaupo Palo, Leopold Parts
Inverse problems in image reconstruction are fundamentally complicated by unknown noise properties. Classical iterative deconvolution approaches amplify noise and require careful p…
Metadata Improves Segmentation Through Multitasking Elicitation
Iaroslav Plutenko, Mikhail Papkov, Kaupo Palo +2
Metainformation is a common companion to biomedical images. However, this potentially powerful additional source of signal from image acquisition has had limited use in deep learni…