David Nordström

Doctoral Student at Signal Processing and Biomedical Engineering

More information and contact details ORCID

Publications (3)
Projects (0)

Showing 3 publications

2026

Quick ViTs: Speeding up Vision Transformers Through Equivariance

David Nordström, Johan Edstedt, Fredrik Kahl et al

Lecture Notes in Computer Science. Vol. 17012, p. 579-597

Paper in proceeding

2026

LoMa: Local Feature Matching Revisited

David Nordström, Johan Edstedt, Georg Bokman et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 17008 LNCS, p. 637-655

Paper in proceeding

2025

Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency

Georg Bökman, David Nordström, Fredrik Kahl

Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Vol. 267, p. 4823-4838

Paper in proceeding

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.

There are no projects.

There might be more projects where David Nordström participates, but you have to be logged in as a Chalmers employee to see them.