Yi Pan,
Yujia Zhang,
Michael Kampffmeyer,
Xiaoguang Zhao
:
RefCap: Zero-shot Video Corpus Moment Retrieval Based on Refined Dense Video Captioning
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 06. april 2025
DOI /
ARKIV
Durgesh Kumar Singh,
Qing Cao,
Sarina Thomas,
Ahcène Boubekki,
Robert Jenssen,
Michael Kampffmeyer
:
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
Lecture Notes in Computer Science (LNCS) 27. september 2025
DOI /
ARKIV
Muhammad Sarmad,
Michael Kampffmeyer,
Arnt Børre Salberg
:
DiffFuSR: Super-Resolution of All Sentinel-2 Multispectral Bands Using Diffusion Models
IEEE Transactions on Geoscience and Remote Sensing 01. desember 2025
DOI /
ARKIV
Fredrik Andreas Dahl,
Amund Vedal,
Line Eikvil,
Solveig Thrun,
Michael Kampffmeyer,
Solveig Hofvind
:
Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms
Lecture Notes in Computer Science (LNCS) 15. juli 2025
DOI /
ARKIV
Michael Kampffmeyer
:
AI tools to detect disease
Jing Wang,
Songhe Feng,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering
Computer Vision and Pattern Recognition 2025
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ARKIV
Zheming Xu,
He Liu,
Congyan Lang,
Tao Wang,
Yidong Li,
Michael Kampffmeyer
:
A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
Computer Vision and Pattern Recognition 2025
ARKIV
Jianqi Chen,
Panwen Hu,
Xiaojun Chang,
Zhenwei Shi,
Michael Kampffmeyer,
Xiaodan Liang
:
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
International Conference on Learning Representations (ICLR) 2025
ARKIV
Haoyuan Li,
Zhou Yanpeng,
Tao Tang,
Jifei Song,
Yihan Zeng,
Michael Kampffmeyer
m.fl.:
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
International Conference on Learning Representations (ICLR) 2025
ARKIV
Markus Heinonen,
Ba-Hien Tran,
Michael Kampffmeyer,
Maurizio Filippone
:
Robust Classification by Coupling Data Mollification with Label Smoothing
Proceedings of Machine Learning Research (PMLR) 2025
ARKIV
Rogelio Andrade Mancisidor,
Robert Jenssen,
Shujian Yu,
Michael Kampffmeyer
:
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Proceedings of Machine Learning Research (PMLR) 2025
DOI /
ARKIV
Zijun Sun,
Solveig Thrun,
Michael Kampffmeyer
:
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 2025
DOI /
ARKIV
Hyeongji Kim,
Stine Hansen,
Michael Kampffmeyer
:
Tied Prototype Model for Few-Shot Medical Image Segmentation
Lecture Notes in Computer Science (LNCS) 21. september 2025
DOI /
ARKIV
Duy Khoi Tran,
Van Nhan Nguyen,
Kristoffer Wickstrøm,
Michael Kampffmeyer
:
WOODWORK: A deep-learning based framework for woodpecker damage detection in powerline inspection
International Journal of Electrical Power & Energy Systems 01. oktober 2025
DOI /
ARKIV
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
m.fl.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Lecture Notes in Computer Science (LNCS) 20. september 2025
DOI /
ARKIV
Kristoffer Wickstrøm,
Thea Brüsch,
Michael Kampffmeyer,
Robert Jenssen
:
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
| Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence 11. april 2025
DOI /
ARKIV
Theodor Anton Ross,
Jessin Janice,
Sergio Arredondo Alonso,
Iren Høyland Löhr,
Einar Holsbø,
Jukka Corander
m.fl.:
Enterococcus lactis is ecologically and genetically distinct from the major opportunistic pathogen Enterococcus faecium
Zheming Xu,
Congyan Lang,
Lili Wei,
Liqian Liang,
Tao Wang,
Yidong Li
m.fl.:
UNAGI: Unified neighbor-aware graph neural network for multi-view clustering
Junxian Wu,
Yujia Zhang,
Michael Kampffmeyer,
Xiaoguang Zhao
:
Prompt-guided bidirectional deep fusion network for referring image segmentation
Hyeongji Kim,
Changkyu Choi,
Michael Christian Kampffmeyer,
Terje Berge,
Pekka Parviainen,
Ketil Malde
:
ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation
Lecture Notes in Computer Science (LNCS) 2025
DOI /
ARKIV
Junxian Wu,
Yujia Zhang,
Michael Kampffmeyer,
Yi Pan,
Chenyu Zhang,
Shiying Sun
m.fl.:
HierGAT: hierarchical spatial-temporal network with graph and transformer for video HOI detection
Youssef Wally,
Johan Mylius-Kroken,
Michael Kampffmeyer,
Rezvan Ehsani,
Vladan Milosevic,
Elisabeth Wetzer
:
Flatland and Beyond: Mutual Information Across Geometries
IEEE International Conference on Computer Vision Workshop (ICCVW) 19. oktober 2025
DOI /
ARKIV
Suaiba Amina Salahuddin,
Elisabeth Wetzer,
Kristoffer Wickstrøm,
Solveig Thrun,
Michael Kampffmeyer,
Robert Jenssen
:
Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance
Lecture Notes in Computer Science (LNCS) 16. juni 2025
DOI /
ARKIV
Nanqing Dong,
Zhipeng Wang,
Jiahao Sun,
Michael Christian Kampffmeyer,
William Knottenbelt,
Eric Xing
:
Defending Against Poisoning Attacks in Federated Learning with Blockchain
IEEE Transactions on Artificial Intelligence (TAI) 2024
DOI /
ARKIV
Srishti Gautam,
Ahcene Boubekki,
Marina Marie-Claire Höhne,
Michael Christian Kampffmeyer
:
Prototypical Self-Explainable Models Without Re-training
Transactions on Machine Learning Research (TMLR) 2024
ARKIV /
ARKIV
Muhammad Sarmad,
Michael Christian Kampffmeyer,
Arnt-Børre Salberg
:
Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution
IEEE International Geoscience and Remote Sensing Symposium proceedings 2024
DOI /
ARKIV /
ARKIV
Duy Khoi Tran,
van Nhan Nguyen,
Davide Roverso,
Robert Jenssen,
Michael Christian Kampffmeyer
:
LSNetv2: Improving weakly supervised power line detection with bipartite matching
Expert Systems With Applications 2024
DOI /
ARKIV
Muhammad Sarmad,
Michael Kampffmeyer,
Arnt Børre Salberg
:
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Xin Wang
m.fl.:
Reconsidering Spatial Alignment for Longitudinal Breast Cancer Risk Prediction
Jørgen Andreas Agersborg,
Michael Kampffmeyer
:
Methodological advancement of optical and radar remote sensing for Arctic forest-tundra ecotone vegetation analysis
UiT Norges arktiske universitet 28. november 2025
ARKIV
Petter Bjørklund,
Durgesh Kumar Singh,
Erik Normann Steen,
Michael Kampffmeyer
:
Slik kan KI bidra til å oppdage hjertesykdommer raskere
Duy Khoi Tran,
Michael Kampffmeyer
:
Towards Data-efficient Fully Automated Visual Inspection of Power-Line Systems
UiT Norges arktiske universitet 10. november 2025
ARKIV
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
m.fl.:
NOFE - Neural Operator Function Embedding
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Michael Kampffmeyer,
Tore Wulf Hansen,
Arnt Børre Salberg
:
FM4CS - A Versatile Foundation Model for Earth Observation Climate And Society Applications
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Are Charles Jensen,
David Arthurs,
Amund Frogner Borge
m.fl.:
FM4CS - A Versatile Foundation Model for Earth Observation Climate and Society Applications
Lars Uebbing,
Harald Lykke Joakimsen,
Kristoffer Wickstrøm,
Michael Kampffmeyer,
Sebastien Francois Lefevre,
Arnt Børre Salberg
m.fl.:
NOFE Neural Operator Function Embedding
Theodor Johannes Line Forgaard,
Jarle Hamar Reksten,
Anders U. Waldeland,
Are Charles Jensen,
David Arthurs,
Amund Frogner Borge
m.fl.:
FM4CS: Foundation Models for Climate and Society
Hyeongji Kim,
Stine Hansen,
Michael Kampffmeyer
:
Tied Prototype Model for Few-Shot Medical Image Segmentation
Hyeongji Kim,
Stine Hansen,
Michael Kampffmeyer
:
Tied Prototype Model for Few-Shot Medical Image Segmentation
Solveig Thrun,
Stine Hansen,
Nele Blum,
Maik Stille,
Robert Jenssen,
Michael Kampffmeyer
:
TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
Solveig Thrun,
Stine Hansen,
Zijun Sun,
Nele Blum,
Suaiba Amina Salahuddin,
Kristoffer Wickstrøm
m.fl.:
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
Michael Kampffmeyer
:
Kunstig intelligens som forklarer hva den tenker
Adrian Bjørkan Pedersen,
Michael Kampffmeyer
:
Michael ble professor som 32-åring – her er hans tips til unge
Elisabeth Wetzer,
Suaiba Amina Salahuddin,
Robert Jenssen,
Michael Christian Kampffmeyer,
Torkil Stoltz
:
Verdens nordligste KI-konferanse
Suaiba Amina Salahuddin,
Elisabeth Wetzer,
Kristoffer Wickstrøm,
Solveig Thrun,
Michael Kampffmeyer,
Robert Jenssen
:
Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance
Magnus Oterhals Størdal,
Benjamin Ricaud,
Michael Kampffmeyer,
Geir Bertelsen,
Maja Gran Erke
:
Retina Age Gap as a Biomarker; Deep Learning Biological Age Estimation and the Limits of XAI
Michael Christian Kampffmeyer,
Joar Hystad
:
Michael (33) vant prestisjetung pris
Petter Bjørklund,
Michael Christian Kampffmeyer,
Arnt-Børre Salberg,
Robert Jenssen
:
Full klaff for KI-konferansen i Tromsø
Muhammad Sarmad,
Michael Kampffmeyer,
Arnt-Børre Salberg
:
Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution
Muhammad Sarmad,
Michael Kampffmeyer,
Arnt-Børre Salberg
:
Towards a Controllable Diffusion Model for Photo-Realistic Super-Resolution of Sentinel-2