activity
20202026
most citedResolution learning in deep convolutional networks using scale-space theory

25 citations · 33 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CV2025

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective

Robert-Jan Bruintjes, Attila Lengyel, Osman Semih Kayhan +4

Deep Learning requires large amounts of data to train models that work well. In data-deficient settings, performance can be degraded. We investigate which Deep Learning methods ben…

cs.CV2025

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling

Hesam Araghi, Jan van Gemert, Nergis Tomen

Event cameras offer high temporal resolution and power efficiency, making them well-suited for edge AI applications. However, their high event rates present challenges for data tra…