Kristian Muri Knausgård

According to our database, Kristian Muri Knausgård authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating the effect of image quantity on Gaussian Splatting: A statistical perspective.

Anurag Dalal, Daniel Hagen, Kjell Gunnar Robbersmyr, Kristian Muri Knausgård

Comput. Vis. Image Underst., 2026

2025

ScatteringSplatting: Capturing Minute Details Using Deep Learning-Aided Gaussian Splatting.

Anurag Dalal, Daniel Hagen, Kjell G. Robbersmyr, Kristian Muri Knausgård

Proceedings of the 2025 13th International Conference on Control, 2025

2024

Gaussian Splatting: 3D Reconstruction and Novel View Synthesis: A Review.

Anurag Dalal, Daniel Hagen, Kjell G. Robbersmyr, Kristian Muri Knausgård

IEEE Access, 2024

Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction.

Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgård, Morten Goodwin

Proceedings of the Artificial Intelligence XLI, 2024

2023

Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning.

Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin

CoRR, 2023

A contrastive learning approach for individual re-identification in a wild fish population.

Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars.

Martin Holen, Kristian Muri Knausgård, Morten Goodwin

Informatics, 2022

Temperate fish detection and classification: a deep learning based approach.

Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Tallaksen Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin

Appl. Intell., 2022

Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles.

Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård

Proceedings of the Engineering Applications of Neural Networks, 2022

An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon.

Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgård, Morten Goodwin

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook.

Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen

CoRR, 2021

Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems.

Kristian Muri Knausgård, Siv Lene Gangenes Skar, Filippo Sanfilippo, Albert Buldenko, Henning Lindheim, Jakob Lunde, Eligijus Sukarevicius, Kjell G. Robbersmyr

Proceedings of the Intelligent Technologies and Applications, 2021

An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning.

Martin Holen, Kristian Muri Knausgård, Morten Goodwin

Proceedings of the Intelligent Technologies and Applications, 2021

2019

Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation.

Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019