Sander Riisøen Jyhne

According to our database, Sander Riisøen Jyhne authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

NordFKB: a fine-grained benchmark dataset for geospatial AI in Norway.

Sander Riisøen Jyhne, Aditya Gupta, Ben Worsley, Marianne Andersen, Ivar Oveland, Alexander Salveson Nossum

CoRR, December, 2025

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution.

Sander Riisøen Jyhne, Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge J. Belongie, Nico Lang

CoRR, December, 2025

2024

MapAI: Precision in Building Segmentation.

Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman

CoRR, 2024

TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution.

Sander Riisøen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin

Proceedings of the Artificial Intelligence XLI, 2024

2023

DeNISE: Deep Networks for Improved Segmentation Edges.

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin

CoRR, 2023

Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches.

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin

CoRR, 2023

A Contrastive Learning Scheme with Transformer Innate Patches.

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland

Proceedings of the Artificial Intelligence XL, 2023

DeNISE: Deep Networks for Improved Segmentation Edges.

Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen

Proceedings of the Artificial Intelligence Applications and Innovations, 2023