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Michael Kampffmeyer

Observed names: Kampffmeyer, Michael, Kampffmeyer, Michael C, Kampffmeyer, Michael C., M. Kampffmeyer, Michael C. Kampffmeyer, Michael Christian Kampffmeyer
ORCID: 0000-0002-7699-0405
Observed ORCID: 0000-0002-7699-0405
OpenAlex ID: A5023225712
Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks
2016 · Michael Kampffmeyer, Arnt-Borre Salberg, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 621
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
2019 · Michael Kampffmeyer, Yinbo Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 371
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Recurrent Neural Networks for Short-Term Load Forecasting
2017 · Filippo Maria Bianchi, Enrico Maiorino, et al. · SpringerBriefs in computer science · 282
Reconsidering Representation Alignment for Multi-view Clustering
2021 · Daniel J. Trosten, Sigurd Lokse, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 252
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Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
2021 · Luigi Tommaso Luppino, Michael Kampffmeyer, et al. · IEEE Transactions on Geoscience and Remote Sensing · 200
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Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
2019 · Kristoffer Wickstrøm, Michael Kampffmeyer, et al. · Medical Image Analysis · 185
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An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
2017 · Bianchi, Filippo Maria, Maiorino, Enrico, et al. · arXiv (Cornell University) · 183
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Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
2022 · Luigi Tommaso Luppino, Mads Adrian Hansen, et al. · IEEE Transactions on Neural Networks and Learning Systems · 175
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Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
2022 · Stine Hansen, Srishti Gautam, et al. · Medical Image Analysis · 169
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Dense Dilated Convolutions’ Merging Network for Land Cover Classification
2020 · Qinghui Liu, Michael Kampffmeyer, et al. · IEEE Transactions on Geoscience and Remote Sensing · 146
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Mixing up contrastive learning: Self-supervised representation learning for time series
2022 · Kristoffer Wickstrøm, Michael Kampffmeyer, et al. · Pattern Recognition Letters · 113
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Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
2018 · Nanqing Dong, Michael Kampffmeyer, et al. · Lecture notes in computer science · 86
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Deep divergence-based approach to clustering
2019 · Michael Kampffmeyer, Sigurd Løkse, et al. · Neural Networks · 80
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation
2018 · Michael Kampffmeyer, Nanqing Dong, et al. · IEEE Transactions on Image Processing · 75
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M3D-VTON: A Monocular-to-3D Virtual Try-On Network
2021 · Fuwei Zhao, Zhenyu Xie, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 74
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Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks
2018 · Michael Kampffmeyer, Arnt-Borre Salberg, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 66
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Learning representations of multivariate time series with missing data
2019 · Filippo Maria Bianchi, Lorenzo Livi, et al. · Pattern Recognition · 60
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
2023 · Daniel J. Trosten, Sigurd Løkse, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 59
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Deep generative models for reject inference in credit scoring
2020 · Rogelio A. Mancisidor, Michael Kampffmeyer, et al. · Knowledge-Based Systems · 53
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Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
2020 · Kristoffer Wickstrom, Karl Oyvind Mikalsen, et al. · IEEE Journal of Biomedical and Health Informatics · 52
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Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
2020 · Qinghui Liu, Michael Kampffmeyer, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 52
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Defending Against Poisoning Attacks in Federated Learning With Blockchain
2024 · Nanqing Dong, Zhipeng Wang, et al. · IEEE Transactions on Artificial Intelligence · 47
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This looks More Like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
2022 · Srishti Gautam, Marina M.-C. Höhne, et al. · Pattern Recognition · 46
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images
2018 · Nanqing Dong, Michael Kampffmeyer, et al. · Lecture notes in computer science · 45
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DTR-GAN
2019 · Yujia Zhang, Michael Kampffmeyer, et al. · ACM Turing Celebration Conference - China (ACM TURC) · 43
Works count: 182
Citation count: 4,759
H-index: 31
I10-index: 70
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