Michael Kampffmeyer

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 115

Top Venues

Publications

Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Discriminative multimodal learning via conditional priors in generative models. Neural Networks 169 (2024)
Duy Khoi Tran, Van Nhan Nguyen, Davide Roverso, Robert Jenssen, Michael Kampffmeyer
LSNetv2: Improving weakly supervised power line detection with bipartite matching. Expert Syst. Appl. 250 (2024)
Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, Xiaodan Liang
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation. CoRR (2024)
Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric P. Xing
An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images. Appl. Soft Comput. 163 (2024)
Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
Robust Classification by Coupling Data Mollification with Label Smoothing. CoRR (2024)
Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William J. Knottenbelt, Eric P. Xing
Defending Against Poisoning Attacks in Federated Learning With Blockchain. IEEE Trans. Artif. Intell. 5 (7) (2024)
Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Robert Jenssen
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. ICASSP (2024)
Rwiddhi Chakraborty, Adrian Sletten, Michael Kampffmeyer
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations. CoRR (2024)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. 149 (2024)
Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael Kampffmeyer
Prototypical Self-Explainable Models Without Re-training. Trans. Mach. Learn. Res. 2024 (2024)
Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing
Defending Against Malicious Behaviors in Federated Learning with Blockchain. CoRR (2023)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. Pattern Recognit. 136 (2023)
Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR (2023)
Sara Björk, Stian Normann Anfinsen, Michael Kampffmeyer, Erik Næsset, Terje Gobakken, Lennart Noordermeer
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation. CoRR (2023)
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. ISBI (2023)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging 42 (7) (2023)
Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Medical Image Anal. 89 (2023)
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. CoRR (2023)
Xujie Zhang, Xiu Li, Michael Kampffmeyer, Xin Dong, Zhenyu Xie, Feida Zhu, Haoye Dong, Xiaodan Liang
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on. CoRR (2023)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. ISBI (2022)
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels. CoRR (2022)
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Anal. 78 (2022)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. CoRR (2022)
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke
Automatic Identification of Chemical Moieties. CoRR (2022)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114 (2022)
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xin Dong, Feida Zhu, Xiaodan Liang
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on. CoRR (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) (2022)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Generating customer's credit behavior with deep generative models. Knowl. Based Syst. 245 (2022)
Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. CoRR (2022)
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. CoRR (2022)
Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. NeurIPS (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. NAIS (2022)
Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen
A self-guided anomaly detection-inspired few-shot segmentation network. CVCS (2022)
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR (2022)
Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS (2022)
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. 155 (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. 129 (2022)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Discriminative Multimodal Learning via Conditional Priors in Generative Models. CoRR (2021)
Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen, Live Eikenes, Robert Jenssen
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Syst. Appl. 167 (2021)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. CoRR (2021)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Reconsidering Representation Alignment for Multi-View Clustering. CVPR (2021)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. CoRR (2021)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Reconsidering Representation Alignment for Multi-view Clustering. CoRR (2021)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR (2021)
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. NeurIPS (2021)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Learning latent representations of bank customers with the Variational Autoencoder. Expert Syst. Appl. 164 (2021)
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. CoRR (2021)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) (2021)
Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
M3D-VTON: A Monocular-to-3D Virtual Try-On Network. ICCV (2021)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. 110 (7) (2021)
Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
M3D-VTON: A Monocular-to-3D Virtual Try-On Network. CoRR (2021)
Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. ECCV (23) (2020)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR Workshops (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions' Merging Network for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 58 (9) (2020)
Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions Merging Network for Land Cover Classification. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Self-Constructing Graph Convolutional Networks for Semantic Labeling. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Self-Constructing Graph Convolutional Networks for Semantic Labeling. IGARSS (2020)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR (2020)
Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Anal. 60 (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CoRR (2020)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Deep generative models for reject inference in credit scoring. Knowl. Based Syst. 196 (2020)
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR (2020)
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. CoRR (2020)
Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao, Min Tan
DTR-GAN: dilated temporal relational adversarial network for video summarization. ACM TUR-C (2019)
Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. ICASSP (2019)
Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing
Dilated temporal relational adversarial network for generic video summarization. Multim. Tools Appl. 78 (24) (2019)
Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
Learning representations of multivariate time series with missing data. Pattern Recognit. 96 (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network. CoRR (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. JURSE (2019)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Learning Latent Representations of Bank Customers With The Variational Autoencoder. CoRR (2019)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep Divergence-Based Approach to Clustering. CoRR (2019)
Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Trans. Image Process. 28 (5) (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. CoRR (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS (2019)
Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR (2019)
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CVPR (2019)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep divergence-based approach to clustering. Neural Networks 113 (2019)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. CoRR (2018)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
The deep kernelized autoencoder. Appl. Soft Comput. 71 (2018)
Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (6) (2018)
Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series. CoRR (2018)
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CoRR (2018)
Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) (2018)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
The Deep Kernelized Autoencoder. CoRR (2018)
Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps. CoRR (2018)
Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Towards deep anchor learning. BHI (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR (2018)
Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. CoRR (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI (2018)
Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing
DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization. CoRR (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR (2018)

Michael Kampffmeyer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael Kampffmeyer