Michael Kampffmeyer
Orcid: 0000-0002-7699-0405
According to our database1,
Michael Kampffmeyer
authored at least 93 papers
between 2016 and 2024.
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Bibliography
2024
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Neural Networks, January, 2024
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations.
CoRR, 2024
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.
Medical Image Anal., October, 2023
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Entropy, June, 2023
<i>This</i> looks <i>More</i> Like <i>that</i>: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.
Pattern Recognit., April, 2023
IEEE Trans. Medical Imaging, 2023
CoRR, 2023
CoRR, 2023
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation.
CoRR, 2023
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images.
Comput. Medical Imaging Graph., 2023
View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Mixing up contrastive learning: Self-supervised representation learning for time series.
Pattern Recognit. Lett., 2022
Pattern Recognit., 2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.
Medical Image Anal., 2022
Knowl. Based Syst., 2022
CoRR, 2022
Towards robust partially supervised multi-structure medical image segmentation on small-scale data.
Appl. Soft Comput., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Colour and Visual Computing Symposium 2022, 2022
2021
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.
IEEE J. Biomed. Health Informatics, 2021
Mach. Learn., 2021
Expert Syst. Appl., 2021
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI.
Expert Syst. Appl., 2021
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks.
CoRR, 2021
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.
CoRR, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective.
Proceedings of the 2021 Northern Lights Deep Learning Workshop, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
Medical Image Anal., 2020
Knowl. Based Syst., 2020
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation.
IEEE Trans. Image Process., 2019
Pattern Recognit., 2019
Multim. Tools Appl., 2019
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR, 2019
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful.
CoRR, 2018
CoRR, 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders.
CoRR, 2018
CoRR, 2018
Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-70337-4, 2017
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting.
CoRR, 2017
Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Urban land cover classification with missing data using deep convolutional neural networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016