most citedDimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Neural Surface Priors for Editable Gaussian Splatting

Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz +5

In computer graphics and vision, recovering easily modifiable scene appearance from image data is crucial for applications such as content creation. We introduce a novel method tha…

math.AG2024

Sextactic and type-9 points on the Fermat cubic and associated objects

Łukasz Merta, Maciej Zięba

In this note we study line and conic arrangements associated to sextactic and type 9 points on the Fermat cubic and we provide explicit coordinates for each of the 72 type 9 po…

cs.CV20232 cited

Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming

Wojciech Kozłowski, Michał Szachniewicz, Michał Stypułkowski +1

Enhancing low-light images while maintaining natural colors is a challenging problem due to camera processing variations and limited access to photos with ground-truth lighting con…

cs.CL20231 cited

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

Mateusz Baran, Joanna Baran, Mateusz Wójcik +2

State-of-the-art models can perform well in controlled environments, but they often struggle when presented with out-of-distribution (OOD) examples, making OOD detection a critical…

cs.CV2023

Self-supervised adversarial masking for 3D point cloud representation learning

Michał Szachniewicz, Wojciech Kozłowski, Michał Stypułkowski +1

Self-supervised methods have been proven effective for learning deep representations of 3D point cloud data. Although recent methods in this domain often rely on random masking of…