Bilde av Kampffmeyer, Michael
Bilde av Kampffmeyer, Michael
Department of Physics and Technology michael.c.kampffmeyer@uit.no +4777625264 Tromsø You can find me here

Michael Kampffmeyer


Job description

Member of the UiT Machine Learning Group

Personal website

 


  • Michael Kampffmeyer :
    AI tools to detect disease
    EU Research 01. Januar 2025 DOI
  • 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 DOI
  • 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
  • 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
  • Haoyuan Li, Zhou Yanpeng, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer et al.:
    UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
    International Conference on Learning Representations (ICLR) 2025
  • 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
  • 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
  • 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
  • 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
  • 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
  • Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba A. Salahuddin, Kristoffer Wickstrøm et al.:
    Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
    Lecture Notes in Computer Science (LNCS) 20. September 2025 DOI
  • 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
  • Theodor Anton Ross, Jessin Janice, Sergio Arredondo Alonso, Iren Høyland Löhr, Einar Holsbø, Jukka Corander et al.:
    Enterococcus lactis is ecologically and genetically distinct from the major opportunistic pathogen Enterococcus faecium
    Microbial Genomics 2025 DOI
  • Theodor Anton Ross, Jessin Janice, Sergio Arredondo-Alonso, Iren Høyland Löhr, Einar Holsbø, Jukka Corander et al.:
    Enterococcus lactis is ecologically and genetically distinct from the major opportunistic pathogen Enterococcus faecium
    Microbial Genomics 06. Juni 2025 DOI / FULLTEKST
  • Zheming Xu, Congyan Lang, Lili Wei, Liqian Liang, Tao Wang, Yidong Li et al.:
    UNAGI: Unified neighbor-aware graph neural network for multi-view clustering
    Neural Networks 2025 DOI
  • Junxian Wu, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao :
    Prompt-guided bidirectional deep fusion network for referring image segmentation
    Neurocomputing 2025 DOI
  • 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
  • Junxian Wu, Yujia Zhang, Michael Kampffmeyer, Yi Pan, Chenyu Zhang, Shiying Sun et al.:
    HierGAT: hierarchical spatial-temporal network with graph and transformer for video HOI detection
    Multimedia Systems 2025 DOI
  • 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
  • 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
  • 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
  • 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
  • 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
  • Yi Pan, Yujia Zhang, Michael Christian Kampffmeyer, Xiaoguang Zhao :
    PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding
    2024 DOI / ARKIV
  • Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael Christian Kampffmeyer, Xiaochun Cao :
    PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping
    Proceedings of the AAAI Conference on Artificial Intelligence 2024 DOI / ARKIV
  • Daniel Johansen Trosten, Sigurd Eivindson Løkse, Robert Jenssen, Michael Christian Kampffmeyer :
    Leveraging tensor kernels to reduce objective function mismatch in deep clustering
    Pattern Recognition 2024 DOI / ARKIV
  • Lars Uebbing, Harald Lykke Joakimsen, Kristoffer Wickstrøm, Michael Kampffmeyer, Sebastien Francois Lefevre, Arnt Børre Salberg et al.:
    NOFE - Neural Operator Function Embedding
    2025
  • 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
    12. September 2025
  • Theodor Johannes Line Forgaard, Jarle Hamar Reksten, Anders U. Waldeland, Are Charles Jensen, David Arthurs, Amund Frogner Borge et al.:
    FM4CS - A Versatile Foundation Model for Earth Observation Climate and Society Applications
    26. Juni 2025
  • Lars Uebbing, Harald Lykke Joakimsen, Kristoffer Wickstrøm, Michael Kampffmeyer, Sebastien Francois Lefevre, Arnt Børre Salberg et al.:
    NOFE Neural Operator Function Embedding
    2025 DOI
  • Theodor Johannes Line Forgaard, Jarle Hamar Reksten, Anders U. Waldeland, Are Charles Jensen, David Arthurs, Amund Frogner Borge et al.:
    FM4CS: Foundation Models for Climate and Society
    05. Mai 2025 DOI
  • Hyeongji Kim, Stine Hansen, Michael Kampffmeyer :
    Tied Prototype Model for Few-Shot Medical Image Segmentation
    2025
  • Hyeongji Kim, Stine Hansen, Michael Kampffmeyer :
    Tied Prototype Model for Few-Shot Medical Image Segmentation
    2025
  • Solveig Thrun, Stine Hansen, Nele Blum, Maik Stille, Robert Jenssen, Michael Kampffmeyer :
    TemporalMammoNet: Deep learning-based breast cancer classification using temporal mammograms
    08. Januar 2025
  • Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm et al.:
    Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
    20. September 2025
  • Michael Kampffmeyer :
    Kunstig intelligens som forklarer hva den tenker
    15. November 2025 DOI
  • Adrian Bjørkan Pedersen, Michael Kampffmeyer :
    Michael ble professor som 32-åring – her er hans tips til unge
    22. April 2025 DOI
  • Elisabeth Wetzer, Suaiba Amina Salahuddin, Robert Jenssen, Michael Christian Kampffmeyer, Torkil Stoltz :
    Verdens nordligste KI-konferanse
    08. Januar 2025
  • 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
    2025
  • 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
    2025
  • Michael Christian Kampffmeyer, Joar Hystad :
    Michael (33) vant prestisjetung pris
    05. Juni 2024
  • Petter Bjørklund, Michael Christian Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen :
    Full klaff for KI-konferansen i Tromsø
    uit.no 2024 FULLTEKST
  • Muhammad Sarmad, Michael Kampffmeyer, Arnt-Børre Salberg :
    Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution
    2024
  • Muhammad Sarmad, Michael Kampffmeyer, Arnt-Børre Salberg :
    Towards a Controllable Diffusion Model for Photo-Realistic ​ Super-Resolution of Sentinel-2​
    2024
  • Michael Christian Kampffmeyer :
    Michael (33) vant prestisjetung pris
    06. Juni 2024
  • Robert Jenssen, Michael Christian Kampffmeyer :
    Visual Intelligence Research and Innovation
    2024
  • Robert Jenssen, Michael Christian Kampffmeyer :
    Visual Intelligence Research and Innovations
    2024
  • Michael Christian Kampffmeyer, Adrian Sletten :
    ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
    2024
  • Theodor Johannes Line Forgaard, Alba Ordonez, Srishti Gautam, Anders Ueland Waldeland, Jarle Hamar Reksten, Michael Christian Kampffmeyer et al.:
    Foundation Models for Earth Observation
    2024

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    Research interests

    Computer Vision, Explainable AI, Medical Image Analysis, Multi-modal learning


    Member of research group



    Forskningsparken 1 B276


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