Michael Christian Kampffmeyer

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	Toate	Din 2020
Referințe bibliografice	4699	4225
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Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPHAdresă de e-mail confirmată pe uit.no
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSAdresă de e-mail confirmată pe mail2.sysu.edu.cn
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsAdresă de e-mail confirmată pe uit.no
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UAdresă de e-mail confirmată pe cs.cmu.edu
Sigurd LøkseResearch Scientist at NORCE Norwegian Research CentreAdresă de e-mail confirmată pe norceresearch.no
Kristoffer Knutsen WickstrømAssociate professor in machine learning at UiT The Arctic University of NorwayAdresă de e-mail confirmată pe uit.no
Nanqing DongShanghai Artificial Intelligence Laboratory; University of OxfordAdresă de e-mail confirmată pe cs.ox.ac.uk
Karl Øyvind MikalsenUniversity Hospital of North Norway & UiT The Arctic University of Norway, TromsøAdresă de e-mail confirmată pe uit.no
Lorenzo LiviUniversity of Manitoba and University of ExeterAdresă de e-mail confirmată pe umanitoba.ca
Kjersti AasAssistant research director Norsk RegnesentralAdresă de e-mail confirmată pe nr.no
Ahcène BoubekkiPhysikalisch-Technische Bundesanstalt, Berlin, GermanyAdresă de e-mail confirmată pe ptb.de
Hao WangAssistant Professor of Computer Science, Rutgers UniversityAdresă de e-mail confirmată pe mit.edu
Wei DaiApple; Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Shujian YuVrije Universiteit Amsterdam; UiT - The Arctic University of Norway; U. of Florida (former)Adresă de e-mail confirmată pe vu.nl
Cristina Soguero RuizProfessor URJCAdresă de e-mail confirmată pe urjc.es
jose principeprofessor of ECE, U. of FloridaAdresă de e-mail confirmată pe cnel.ufl.edu

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Michael Christian Kampffmeyer

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

Adresă de e-mail confirmată pe post.uit.no - Pagina de pornire

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 2016 IEEE conference on computer vision and pattern recognition workshops …, 2016	725	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	593*	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	391	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	206	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	167	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	135	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	130	2021
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	122	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	114	2022
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	113	2018
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	106	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	86*	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	77	2018
Deep divergence-based approach to clustering M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen Neural Networks 113, 91-101, 2019	75	2019
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	72	2021
Deep generative models for reject inference in credit scoring RA Mancisidor, M Kampffmeyer, K Aas, R Jenssen Knowledge-Based Systems 196, 105758, 2020	61	2020
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	59	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	53	2018
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering DJ Trosten, S Løkse, R Jenssen, MC Kampffmeyer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	52	2023
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	52	2019

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