Michael Kampffmeyer

154 papers A* 9A 2B 2C 3Misc 4Journal 106Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation. CoRR Zhenyu Xie, Ji Xia, Michael Kampffmeyer, Panwen Hu, Zehua Ma, Yujian Zheng, Jing Wang, Zheng Chong, Xujie Zhang, Xianhang Cheng, Xiaodan Liang, Hao Li
2026	J	`jnl`	ERGO: Excess-Risk-Guided Optimization for High-Fidelity Monocular 3D Gaussian Splatting. CoRR Zehua Ma, Hanhui Li, Zhenyu Xie, Xiaonan Luo, Michael Kampffmeyer, Feng Gao, Xiaodan Liang
2026	J	`jnl`	SuperCM: Improving semi-supervised learning and domain adaptation through differentiable clustering. Pattern Recognit. Durgesh Kumar Singh, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2026	J	`jnl`	THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications. CoRR Theodor Forgaard, Jarle Hamar Reksten, Anders U. Waldeland, Valerio Marsocci, Nicolas Longépé, Michael Kampffmeyer, Arnt-Børre Salberg
2025	J	`jnl`	A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [ CoRR Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner
2025	A*	`conf`	Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. ICML Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
2025	J	`jnl`	Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. CoRR Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
2025	—	`conf`	Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance. SCIA (2) Suaiba Amina Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer, Robert Jenssen
2025	J	`jnl`	DiffFuSR: Super-Resolution of All Sentinel-2 Multispectral Bands Using Diffusion Models. IEEE Trans. Geosci. Remote. Sens. Muhammad Sarmad, Michael Kampffmeyer, Arnt-Børre Salberg
2025	J	`jnl`	DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models. CoRR Muhammad Sarmad, Arnt-Børre Salberg, Michael Kampffmeyer
2025	J	`jnl`	EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode. CoRR Durgesh Singh, Ahcene Boubekki, Qing Cao, Svein Arne Aase, Robert Jenssen, Michael Kampffmeyer
2025	J	`jnl`	Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN. CoRR Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, Jong Chul Ye, Elisabeth Wetzer
2025	—	`conf`	Flatland and Beyond: Mutual Information Across Geometries. ICCVW Youssef Wally, Johan Mylius-Kroken, Michael Kampffmeyer, Rezvan Ehsani, Vladan Milosevic, Elisabeth Wetzer
2025	J	`jnl`	HierGAT: hierarchical spatial-temporal network with graph and transformer for video HOI detection. Multim. Syst. Junxian Wu, Yujia Zhang, Michael Kampffmeyer, Yi Pan, Chenyu Zhang, Shiying Sun, Hui Chang, Xiaoguang Zhao
2025	J	`jnl`	Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training. CoRR Kristoffer Wickstrøm, Teresa Dorszewski, Siyan Chen, Michael Kampffmeyer, Elisabeth Wetzer, Robert Jenssen
2025	J	`jnl`	Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models. CoRR Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen, Tone Hovda, Antonio Portaluri, Solveig Thrun, Michael Kampffmeyer, Elisabeth Wetzer, Kristoffer Wickstrøm, Robert Jenssen
2025	—	`conf`	Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms. MIUA (2) Fredrik A. Dahl, Amund Vedal, Line Eikvil, Solveig Thrun, Michael Kampffmeyer, Solveig Hofvind
2025	J	`jnl`	Optimizing Data Augmentation through Bayesian Model Selection. CoRR Madi Matymov, Ba-Hien Tran, Michael Kampffmeyer, Markus Heinonen, Maurizio Filippone
2025	—	`conf`	ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval. EMNLP (Findings) Yi Pan, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao
2025	J	`jnl`	ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval. CoRR Yi Pan, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao
2025	J	`jnl`	Prompt-guided bidirectional deep fusion network for referring image segmentation. Neurocomputing Junxian Wu, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao
2025	—	`conf`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. MICCAI (2) Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	Misc	`conf`	RefCap: Zero-shot Video Corpus Moment Retrieval Based on Refined Dense Video Captioning. ICASSP Yi Pan, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao
2025	A	`conf`	Robust Classification by Coupling Data Mollification with Label Smoothing. AISTATS Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
2025	A*	`conf`	Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes. ICLR Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer, Xiaodan Liang
2025	J	`jnl`	SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering. CoRR Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025	J	`jnl`	The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Xin Wang, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	—	`conf`	Tied Prototype Model for Few-Shot Medical Image Segmentation. MICCAI (3) Hyeongji Kim, Stine Hansen, Michael Kampffmeyer
2025	J	`jnl`	Tied Prototype Model for Few-Shot Medical Image Segmentation. CoRR Hyeongji Kim, Stine Hansen, Michael Kampffmeyer
2025	A*	`conf`	UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting. ICLR Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang
2025	J	`jnl`	UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting. CoRR Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang
2025	—	`conf`	VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction. MICCAI (15) Zijun Sun, Solveig Thrun, Michael Kampffmeyer
2025	J	`jnl`	VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction. CoRR Zijun Sun, Solveig Thrun, Michael Kampffmeyer
2025	J	`jnl`	Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning. CoRR Gabriel Y. Arteaga, Marius Aasan, Rwiddhi Chakraborty, Martine Hjelkrem-Tan, Thalles Silva, Michael Kampffmeyer, Adín Ramírez Rivera
2025	—	`conf`	WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements. ASMUS@MICCAI Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025	J	`jnl`	WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements. CoRR Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2024	J	`jnl`	An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images. Appl. Soft Comput. Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric P. Xing
2024	J	`jnl`	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
2024	Misc	`conf`	DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. ICASSP Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Robert Jenssen
2024	J	`jnl`	Defending Against Poisoning Attacks in Federated Learning With Blockchain. IEEE Trans. Artif. Intell. Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William J. Knottenbelt, Eric P. Xing
2024	J	`jnl`	Discriminative multimodal learning via conditional priors in generative models. Neural Networks Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2024	J	`jnl`	ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations. CoRR Rwiddhi Chakraborty, Adrian Sletten, Michael Kampffmeyer
2024	J	`jnl`	LSNetv2: Improving weakly supervised power line detection with bipartite matching. Expert Syst. Appl. Duy Khoi Tran, Van Nhan Nguyen, Davide Roverso, Robert Jenssen, Michael Kampffmeyer
2024	J	`jnl`	Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2024	J	`jnl`	MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation. CoRR Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, Xiaodan Liang
2024	B	`conf`	PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding. IJCNN Yi Pan, Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao
2024	J	`jnl`	Prototypical Self-Explainable Models Without Re-training. Trans. Mach. Learn. Res. Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael Kampffmeyer
2024	—	`conf`	ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. ECCV Workshops (17) Hyeongji Kim, Changkyu Choi, Michael Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde
2024	J	`jnl`	Robust Classification by Coupling Data Mollification with Label Smoothing. CoRR Markus Heinonen, Ba-Hien Tran, Michael Kampffmeyer, Maurizio Filippone
2023	J	`jnl`	ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Medical Image Anal. Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
2023	J	`jnl`	Defending Against Malicious Behaviors in Federated Learning with Blockchain. CoRR Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing
2023	J	`jnl`	Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
2023	J	`jnl`	Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation. CoRR Sara Björk, Stian Normann Anfinsen, Michael Kampffmeyer, Erik Næsset, Terje Gobakken, Lennart Noordermeer
2023	—	`conf`	Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. ISBI Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2023	J	`jnl`	Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation. CoRR Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer
2023	J	`jnl`	WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on. CoRR Xujie Zhang, Xiu Li, Michael Kampffmeyer, Xin Dong, Zhenyu Xie, Feida Zhu, Haoye Dong, Xiaodan Liang
2022	—	`conf`	A self-guided anomaly detection-inspired few-shot segmentation network. CVCS Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels. CoRR Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Anal. Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Automatic Identification of Chemical Moieties. CoRR Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke
2022	J	`jnl`	Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
2022	J	`jnl`	Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	—	`conf`	Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. ISBI Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Generating customer's credit behavior with deep generative models. Knowl. Based Syst. Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2022	—	`conf`	Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
2022	J	`jnl`	Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
2022	J	`jnl`	Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	J	`jnl`	Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	J	`jnl`	Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
2022	J	`jnl`	PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on. CoRR Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xin Dong, Feida Zhu, Xiaodan Liang
2022	A*	`conf`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2022	J	`jnl`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2022	—	`conf`	The Kernelized Taylor Diagram. NAIS Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	The Kernelized Taylor Diagram. CoRR Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	A*	`conf`	Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. NeurIPS Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang
2022	J	`jnl`	Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. CoRR Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang
2022	J	`jnl`	Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
2021	J	`jnl`	Discriminative Multimodal Learning via Conditional Priors in Generative Models. CoRR Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2021	J	`jnl`	Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2021	J	`jnl`	Learning latent representations of bank customers with the Variational Autoencoder. Expert Syst. Appl. Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2021	A*	`conf`	M3D-VTON: A Monocular-to-3D Virtual Try-On Network. ICCV Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
2021	J	`jnl`	M3D-VTON: A Monocular-to-3D Virtual Try-On Network. CoRR Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
2021	J	`jnl`	Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2021	J	`jnl`	Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
2021	A*	`conf`	Reconsidering Representation Alignment for Multi-View Clustering. CVPR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021	J	`jnl`	Reconsidering Representation Alignment for Multi-view Clustering. CoRR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021	—	`conf`	Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
2021	J	`jnl`	This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2021	A*	`conf`	Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. NeurIPS Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang
2021	J	`jnl`	Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. CoRR Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang
2021	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2021	J	`jnl`	Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Syst. Appl. Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen, Live Eikenes, Robert Jenssen
2020	J	`jnl`	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. CoRR Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
2020	J	`jnl`	Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. CoRR Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
2020	J	`jnl`	Deep generative models for reject inference in credit scoring. Knowl. Based Syst. Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2020	J	`jnl`	Dense Dilated Convolutions Merging Network for Land Cover Classification. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Dense Dilated Convolutions' Merging Network for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2020	—	`conf`	Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR Workshops Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	—	`conf`	SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. ECCV (23) Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
2020	C	`conf`	Self-Constructing Graph Convolutional Networks for Semantic Labeling. IGARSS Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Self-Constructing Graph Convolutional Networks for Semantic Labeling. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
2020	J	`jnl`	Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Anal. Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2020	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2019	J	`jnl`	ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Trans. Image Process. Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
2019	—	`conf`	DTR-GAN: dilated temporal relational adversarial network for video summarization. ACM TUR-C Yujia Zhang, Michael Kampffmeyer, Xiaoguang Zhao, Min Tan
2019	J	`jnl`	Deep Divergence-Based Approach to Clustering. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	J	`jnl`	Deep divergence-based approach to clustering. Neural Networks Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	—	`conf`	Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. JURSE Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	J	`jnl`	Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	J	`jnl`	Dilated temporal relational adversarial network for generic video summarization. Multim. Tools Appl. Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing
2019	J	`jnl`	Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2019	J	`jnl`	Learning Latent Representations of Bank Customers With The Variational Autoencoder. CoRR Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2019	J	`jnl`	Learning representations of multivariate time series with missing data. Pattern Recognit. Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2019	Misc	`conf`	Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. ICASSP Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
2019	A*	`conf`	Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CVPR Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
2019	J	`jnl`	Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	C	`conf`	Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2018	—	`conf`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. BHI Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	J	`jnl`	ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. CoRR Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
2018	J	`jnl`	DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization. CoRR Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing
2018	J	`jnl`	Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful. CoRR Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger, Xiaodan Liang, Thomas Lachmann, Eric P. Xing
2018	J	`jnl`	Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2018	A	`conf`	Query-Conditioned Three-Player Adversarial Network for Video Summarization. BMVC Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing
2018	J	`jnl`	Query-Conditioned Three-Player Adversarial Network for Video Summarization. CoRR Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing
2018	J	`jnl`	Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series. CoRR Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
2018	—	`conf`	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Rethinking Knowledge Graph Propagation for Zero-Shot Learning. CoRR Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
2018	J	`jnl`	Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. CoRR Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2018	J	`jnl`	The Deep Kernelized Autoencoder. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	J	`jnl`	The deep kernelized autoencoder. Appl. Soft Comput. Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	—	`conf`	Towards deep anchor learning. BHI Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	—	`conf`	Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation. MLSP Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2018	—	`conf`	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2017	J	`jnl`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. CoRR Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2017	—	`conf`	Deep Kernelized Autoencoders. SCIA (1) Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	J	`jnl`	Deep Kernelized Autoencoders. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	—	`conf`	Deep divergence-based clustering. MLSP Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2017	Misc	`conf`	Density ridge manifold traversal. ICASSP Jonas Nordhaug Myhre, Michael Kampffmeyer, Robert Jenssen
2017	—	`conf`	Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. SCIA (2) Arnt-Børre Salberg, Øivind Due Trier, Michael Kampffmeyer
2017	J	`jnl`	Temporal Overdrive Recurrent Neural Network. CoRR Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen
2017	B	`conf`	Temporal overdrive recurrent neural network. IJCNN Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen
2017	J	`jnl`	Urban Land Cover Classification with Missing Data Using Deep Convolutional Neural Networks. CoRR Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2017	C	`conf`	Urban land cover classification with missing data using deep convolutional neural networks. IGARSS Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2016	—	`conf`	Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. CVPR Workshops Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen