5 papers
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder
Andrei Arhire, Mihaela-Elena Breabăn, Radu Timofte
We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wise decoder. LightMIS aligns th…
A Shared-Backbone Approach for Multi-Task MedMNIST Classification
Stefan-Dorian Gavril, Andrei Arhire, Adrian Iftene
Multi-task biomedical classification requires models to generalize across disparate modalities and class distributions. We study 11 heterogeneous MedMNIST datasets using the harmon…
UAIC_Twin_Width: An Exact yet Efficient Twin-Width Algorithm
Andrei Arhire, Matei Chiriac, Radu Timofte
Twin-width is a recently formulated graph and matrix invariant that intuitively quantifies how far a graph is from having the structural simplicity of a co-graph. Since its introdu…
Learned Lightweight Smartphone ISP with Unpaired Data
Andrei Arhire, Radu Timofte
The Image Signal Processor (ISP) is a fundamental component in modern smartphone cameras responsible for conversion of RAW sensor image data to RGB images with a strong focus on pe…
PACE Solver Description: A Heuristic Directed Feedback Vertex Set Problem Algorithm
Andrei Arhire, Paul Diac
A feedback vertex set of a graph is a set of nodes with the property that every cycle contains at least one vertex from the set i.e. the removal of all vertices from a feedback ver…