Michael Christian Kampffmeyer

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Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPHVerified email at uit.no
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSVerified email at mail2.sysu.edu.cn
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsVerified email at uit.no
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Sigurd LøkseResearch Scientist at NORCE Norwegian Research CentreVerified email at norceresearch.no
Kristoffer Knutsen WickstrømAssociate professor in machine learning at UiT The Arctic University of NorwayVerified email at uit.no
Nanqing DongShanghai Artificial Intelligence Laboratory; University of OxfordVerified email at cs.ox.ac.uk
Karl Øyvind MikalsenUniversity Hospital of North Norway & UiT The Arctic University of Norway, TromsøVerified email at uit.no
Lorenzo LiviUniversity of Manitoba and University of ExeterVerified email at umanitoba.ca
Kjersti AasAssistant research director Norsk RegnesentralVerified email at nr.no
Ahcène BoubekkiPhysikalisch-Technische Bundesanstalt, Berlin, GermanyVerified email at ptb.de
Hao WangAssistant Professor of Computer Science, Rutgers UniversityVerified email at mit.edu
Wei DaiApple; Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shujian YuVrije Universiteit Amsterdam; UiT - The Arctic University of Norway; U. of Florida (former)Verified email at vu.nl
Cristina Soguero RuizAssociate Professor URJCVerified email at urjc.es
jose principeprofessor of ECE, U. of FloridaVerified email at cnel.ufl.edu
Dingwen ZhangNorthwestern Polytechnical UniversityVerified email at mail.nwpu.edu.cn

Michael Christian Kampffmeyer

Professor in Machine Learning, UiT the Arctic University of Norway, Tromsø

Verified email at post.uit.no - Homepage

Deep Learning Machine Learning Pattern Recognition Medical Image Analysis Remote Sensing


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Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks M Kampffmeyer, AB Salberg, R Jenssen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	684	2016
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen Springer, 2017	550*	2017
Rethinking knowledge graph propagation for zero-shot learning M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	372	2019
Reconsidering Representation Alignment for Multi-view Clustering DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021	159	2021
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps K Wickstrøm, M Kampffmeyer, R Jenssen Medical Image Analysis 60, 101619, 2020	151	2020
Dense dilated convolutions’ merging network for land cover classification Q Liu, M Kampffmeyer, R Jenssen, AB Salberg IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6309-6320, 2020	127	2020
Deep image translation with an affinity-based change prior for unsupervised multimodal change detection LT Luppino, M Kampffmeyer, FM Bianchi, G Moser, SB Serpico, ... IEEE Transactions on Geoscience and Remote Sensing, 2021	114	2021
Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing International Conference on Medical Image Computing and Computer-Assisted …, 2018	110	2018
Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images LT Luppino, MA Hansen, M Kampffmeyer, FM Bianchi, G Moser, ... IEEE Transactions on Neural Networks and Learning Systems 35 (1), 60-72, 2022	97	2022
Mixing up contrastive learning: Self-supervised representation learning for time series K Wickstrøm, M Kampffmeyer, KØ Mikalsen, R Jenssen Pattern Recognition Letters 155, 54-61, 2022	91	2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels S Hansen, S Gautam, R Jenssen, M Kampffmeyer Medical Image Analysis 78, 102385, 2022	81	2022
Learning representations of multivariate time series with missing data FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen Pattern Recognition 96, 106973, 2019	79*	2019
Deep divergence-based approach to clustering M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen Neural Networks 113, 91-101, 2019	69	2019
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation M Kampffmeyer, N Dong, X Liang, Y Zhang, EP Xing IEEE Transactions on Image Processing 28 (5), 2518-2529, 2018	68	2018
M3D-VTON: A Monocular-to-3D Virtual Try-On Network F Zhao, Z Xie, M Kampffmeyer, H Dong, S Han, T Zheng, T Zhang, ... ICCV 2021, 2021	67	2021
Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks M Kampffmeyer, AB Salberg, R Jenssen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018	57	2018
Deep generative models for reject inference in credit scoring RA Mancisidor, M Kampffmeyer, K Aas, R Jenssen Knowledge-Based Systems 196, 105758, 2020	51	2020
Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation K Wickstrøm, M Kampffmeyer, R Jenssen 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018	50	2018
Query-Conditioned Three-Player Adversarial Network for Video Summarization Y Zhang, M Kampffmeyer, X Liang, M Tan, EP Xing British Machine Vision Conference (BMVC), 2018, 2018	49	2018
Dtr-gan: Dilated temporal relational adversarial network for video summarization Y Zhang, M Kampffmeyer, X Zhao, M Tan Proceedings of the ACM Turing Celebration Conference-China, 89, 2019	48	2019

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