Marcus Klasson

Orcid: 0000-0002-8633-281X

According to our database1, Marcus Klasson authored at least 12 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Flatness Improves Backbone Generalisation in Few-Shot Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Streamlining Prediction in Bayesian Deep Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Post-hoc Probabilistic Vision-Language Models.
CoRR, 2024

Differentially Private Continual Learning using Pre-Trained Models.
CoRR, 2024

Sources of Uncertainty in 3D Scene Reconstruction.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Learn the Time to Learn: Replay Scheduling in Continual Learning.
Trans. Mach. Learn. Res., 2023

2022
Fine-Grained and Continual Visual Recognition for Assisting Visually Impaired People.
PhD thesis, 2022

2020
Using Variational Multi-view Learning for Classification of Grocery Items.
Patterns, 2020

2019
A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2017
Causality Refined Diagnostic Prediction.
CoRR, 2017

Conjugate-prior-regularized multinomial pLSA for collaborative filtering.
Proceedings of the 25th European Signal Processing Conference, 2017


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