Michael Kampffmeyer

发表

Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder pdf

Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, 2018, ArXiv.

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, DLMIA/ML-CDS@MICCAI.

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels pdf

Irina Voiculescu, Michael Kampffmeyer, Eric P. Xing, 2020, ArXiv.

Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation

Michael Kampffmeyer, Robert Jenssen, Arnt-Borre Salberg, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network

Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

Hao Wang, Michael Kampffmeyer, Eric P. Xing, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI

Michael Kampffmeyer, Robert Jenssen, Live Eikenes, 2021, Expert Syst. Appl..

Manifold traversal using density ridges

Michael Kampffmeyer, Robert Jenssen, Jonas Nordhaug Myhre, 2016 .

SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation pdf

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2020, ArXiv.

Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps

Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, 2020, Medical Image Anal..

Deep Reinforcement Learning for Query-Conditioned Video Summarization

Michael Kampffmeyer, Xiaoguang Zhao, Yujia Zhang, 2019, Applied Sciences.

Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks

Michael Kampffmeyer, Arnt-Børre Salberg, Øivind Due Trier, 2017, SCIA.

Learning representations of multivariate time series with missing data

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2019, Pattern Recognit..

Deep generative models for reject inference in credit scoring

Michael Kampffmeyer, Kjersti Aas, Robert Jenssen, 2019, Knowl. Based Syst..

Dilated temporal relational adversarial network for generic video summarization

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, Multimedia Tools and Applications.

Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series

Michael Kampffmeyer, Robert Jenssen, Andreas Storvik Strauman, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Query-Conditioned Three-Player Adversarial Network for Video Summarization pdf

Michael Kampffmeyer, Eric P. Xing, Min Tan, 2018, BMVC.

Deep Divergence-Based Approach to Clustering

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2019, Neural Networks.

DTR-GAN: dilated temporal relational adversarial network for video summarization

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, ACM TUR-C.

Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful pdf

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, ArXiv.

UNCERTAINTY MODELING AND INTERPRETABILITY IN CONVOLUTIONAL NEURAL NETWORKS FOR POLYP SEGMENTATION

Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Joint Optimization of an Autoencoder for Clustering and Embedding pdf

Michael Kampffmeyer, Robert Jenssen, Ulf Brefeld, 2020, ArXiv.

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks

Michael Kampffmeyer, Robert Jenssen, Filippo Maria Bianchi, 2017, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Deep Kernelized Autoencoders pdf

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2017, SCIA.

Towards deep anchor learning

Michael Kampffmeyer, Robert Jenssen, Cristina Soguero-Ruíz, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, IEEE Transactions on Image Processing.

Density ridge manifold traversal

Michael Kampffmeyer, Robert Jenssen, Jonas Nordhaug Myhre, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders pdf

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2018, ArXiv.

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio pdf

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, MICCAI.

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection pdf

Gabriele Moser, Michael Kampffmeyer, Robert Jenssen, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Learning Latent Representations of Bank Customers With The Variational Autoencoder

Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, 2019, Expert Syst. Appl..

Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks

Michael Kampffmeyer, Robert Jenssen, Van Nhan Nguyen, 2020, ECCV.

Deep divergence-based clustering

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Self-Constructing Graph Convolutional Networks for Semantic Labeling pdf

Michael Kampffmeyer, Robert Jenssen, Arnt-Borre Salberg, 2020, ArXiv.

Temporal overdrive recurrent neural network

Michael Kampffmeyer, Robert Jenssen, Filippo Maria Bianchi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels pdf

Michael Kampffmeyer, Robert Jenssen, José Carlos Príncipe, 2019, ArXiv.

Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Dense Dilated Convolutions’ Merging Network for Land Cover Classification

Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

Michael Kampffmeyer, Robert Jenssen, Arthur Revhaug, 2020, IEEE journal of biomedical and health informatics.

Urban land cover classification with missing data using deep convolutional neural networks

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

The Deep Kernelized Autoencoder pdf

Michael Kampffmeyer, Robert Jenssen, Lorenzo Livi, 2018, Appl. Soft Comput..

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images pdf

Gabriele Moser, Michael Kampffmeyer, Robert Jenssen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification pdf

Irina Voiculescu, Michael Kampffmeyer, Nanqing Dong, 2021, ArXiv.

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN pdf

Michael Kampffmeyer, Xiaodan Liang, Zhenyu Xie, 2021, NeurIPS.

Discriminative Multimodal Learning via Conditional Priors in Generative Models pdf

Michael Kampffmeyer, Kjersti Aas, Robert Jenssen, 2021, ArXiv.

This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation pdf

Michael Kampffmeyer, Robert Jenssen, Srishti Gautam, 2021, Pattern Recognit..

Towards robust partially supervised multi-structure medical image segmentation on small-scale data

Irina Voiculescu, Michael Kampffmeyer, Eric P. Xing, 2020, Appl. Soft Comput..

Joint optimization of an autoencoder for clustering and embedding

Michael Kampffmeyer, Robert Jenssen, Ulf Brefeld, 2021, Mach. Learn..

Self-supervised Multi-task Representation Learning for Sequential Medical Images

Irina Voiculescu, Michael Kampffmeyer, Nanqing Dong, 2021, ECML/PKDD.

Semi-supervised target classification in multi-frequency echosounder data

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2021, ICES Journal of Marine Science.

Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks pdf

Michael Kampffmeyer, Robert Jenssen, Arnt-Borre Salberg, 2021, ArXiv.

Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective

Michael Kampffmeyer, Robert Jenssen, Daniel J. Trosten, 2021 .

Reconsidering Representation Alignment for Multi-view Clustering

Michael Kampffmeyer, Robert Jenssen, Daniel J. Trosten, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

Gabriele Moser, Michael Kampffmeyer, Robert Jenssen, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2021, International Journal of Remote Sensing.

M3D-VTON: A Monocular-to-3D Virtual Try-On Network pdf

Michael Kampffmeyer, Xiaodan Liang, Tianxiang Zheng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation pdf

Michael Kampffmeyer, Robert Jenssen, Srishti Gautam, 2022, ArXiv.