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Associate Professor

Michael Kampffmeyer

Associate Professor / Machine Learning Department of Physics and Technology
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  • Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastian Bruno; Jenssen, Robert; Anfinsen, Stian Normann. Deep image translation with an affinity-based change prior for unsupervised multimodal change detection. IEEE Transactions on Geoscience and Remote Sensing 2021. ISSN 0196-2892.

  • Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Transactions on Geoscience and Remote Sensing 2021. ISSN 0196-2892.s doi: 10.1109/TGRS.2021.3056196.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Dense dilated convolutions merging network for land cover classification. (Fulltekst: https://ieeexplore.ieee.org/document/9027099 (Omtale: https://ieeexplore.ieee.org/document/9027099) IEEE Transactions on Geoscience and Remote Sensing 2020; Volum 58 (9). ISSN 0196-2892.s 6309 - 6320.s doi: 10.1109/TGRS.2020.2976658.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre. Self-Constructing Graph Convolutional Networks for Semantic Labeling. IEEE 2020 ISBN 9781728163741.s doi: 10.1109/IGARSS39084.2020.9324719.

  • Chiu, Mang Tik; Xingqiang, Xu; Wang, Kai; Hobbs, Jennifer; Hovakimyan, Naira; Huang, Thomas S.; Shi, Honghui; Wei, Yunchao; Huang, Zilong; Schwing, Alexander; Brunner, Robert; Dozier, Ivan; Dozier, Wyatt; Ghandilyan, Karen; Wilson, David; Park, Hyunseong; Kim, Junhee; Kim, Sungho; Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre; Barbosa, Alexandre; Trevisan, Rodrigo; Zhao, Bingchen; Yu, Shaozuo; Yang, Siwei; Wang, Yin; Sheng, Hao; Chen, Xiao; Su, Jingyi; Rajagopal, Ram; Ng, Andrew; Huynh, Van Thong; Kim, Soo-Hyung; Na, In-Seop; Baid, Ujjwal; Innani, Shubham; Dutande, Prasad; Baheti, Bhakti; Talbar, Sanjay; Tang, Jianyu. The 1st Agriculture-Vision Challenge: Methods and Results. (Fulltekst: https://openaccess.thecvf.com/content_CVPRW_2020/html/w5/Chiu_The_1st_Agriculture-Vision_Challenge_Methods_and_Results_CVPRW_2020_paper.html IEEE 2020 (2020) ISBN 978-1-7281-9360-1. ISSN 2160-7508.s 212 - 218.s doi: 10.1109/CVPRW50498.2020.00032.

  • Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Proceedings of the Northern Lights Deep Learning Workshop 2020; Volum 1.s doi: 10.7557/18.5136.

  • Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Revhaug, Arthur; Jenssen, Robert. Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE journal of biomedical and health informatics 2020. ISSN 2168-2194.s doi: 10.1109/JBHI.2020.3042637.

  • Hansen, Stine; Kuttner, Samuel; Kampffmeyer, Michael; Markussen, Tom-Vegard; Sundset, Rune; Øen, Silje Kjærnes; Eikenes, Live; Jenssen, Robert. Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Systems With Applications 2020; Volum 167:114244. ISSN 0957-4174.s 1 - 12.s doi: 10.1016/j.eswa.2020.114244.

  • Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Learning latent representations of bank customers with the Variational Autoencoder. Expert Systems With Applications 2020; Volum 164. ISSN 0957-4174.s doi: 10.1016/j.eswa.2020.114020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. (https://github.com/samleoqh/MSCG-Net) (Fulltekst: https://openaccess.thecvf.com/content_CVPRW_2020/papers/w5/Liu_Multi-View_Self-Constructing_Graph_Convolutional_Networks_With_Adaptive_Class_Weighting_Loss_CVPRW_2020_paper.pdf (Omtale: https://openaccess.thecvf.com/content_CVPRW_2020/html/w5/Liu_Multi-View_Self-Constructing_Graph_Convolutional_Networks_With_Adaptive_Class_Weighting_Loss_CVPRW_2020_paper.html) (Sammendrag: https://openaccess.thecvf.com/content_CVPRW_2020/html/w5/Liu_Multi-View_Self-Constructing_Graph_Convolutional_Networks_With_Adaptive_Class_Weighting_Loss_CVPRW_2020_paper.html) (Prosjekt: https://github.com/samleoqh/MSCG-Net) IEEE 2020 (2020) ISBN 978-1-7281-9360-1. ISSN 2160-7508.s 199 - 205.s doi: 10.1109/CVPRW50498.2020.00030.

  • Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Deep generative models for reject inference in credit scoring. Knowledge-Based Systems 2020; Volum 196. ISSN 0950-7051.s doi: 10.1016/j.knosys.2020.105758.

  • Ordonez, Alba; Eikvil, Line; Salberg, Arnt-Børre; Harbitz, Alf; Murray, Sean Meling; Kampffmeyer, Michael. Explaining decisions of deep neural networks used for fish age prediction. PLOS ONE 2020; Volum 15 (6). ISSN 1932-6203.s doi: 10.1371/journal.pone.0235013.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. (Omtale: https://ieeexplore.ieee.org/document/8900082/) IEEE 2019 (2019) ISBN 978-1-5386-9154-0. ISSN 2153-6996.s 5041 - 5044.s doi: 10.1109/IGARSS.2019.8900082.

  • Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Analysis 2019. ISSN 1361-8415.s doi: 10.1016/j.media.2019.101619.

  • Zhang, Yujia; Kampffmeyer, Michael C.; Liang, Xiaodan; Zhang, Dingwen; Tan, Min; Xing, Eric P.. Dilated temporal relational adversarial network for generic video summarization. Multimedia tools and applications 2019; Volum 78 (24). ISSN 1380-7501.s 35237 - 35261.s doi: 10.1007/s11042-019-08175-y.

  • Kampffmeyer, Michael C.; Chen, Yinbo; Liang, Xiaodan; Wang, Hao; Zhang, Yujia; Xing, Eric P.. Rethinking knowledge graph propagation for zero-shot learning. Computer Vision and Pattern Recognition 2019; Volum 2019-June. ISSN 1063-6919.s 11479 - 11488.s doi: 10.1109/CVPR.2019.01175.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. (Fulltekst: https://arxiv.org/abs/1908.11799v1 (Omtale: https://arxiv.org/abs/1908.11799v1) IEEE 2019 ISBN 978-1-7281-0009-8.s 1 - 4.s doi: 10.1109/JURSE.2019.8809046.

  • Trosten, Daniel Johansen; Strauman, Andreas Storvik; Kampffmeyer, Michael C.; Jenssen, Robert. Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2019; Volum 2019-May. ISSN 1520-6149.s 3257 - 3261.s doi: 10.1109/ICASSP.2019.8682365.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Jenssen, Robert. Learning representations of multivariate time series with missing data. Pattern Recognition 2019; Volum 96:106973. ISSN 0031-3203.s 1 - 11.s doi: 10.1016/j.patcog.2019.106973.

  • Zhang, Yujia; Kampffmeyer, Michael C.; Zhao, Xiaoguang; Tan, Min. Deep Reinforcement Learning for Query-Conditioned Video Summarization. Applied Sciences 2019; Volum 9 (4). ISSN 2076-3417.s 1 - 16.s doi: 10.3390/app9040750.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based approach to clustering. Neural Networks 2019; Volum 113. ISSN 0893-6080.s 91 - 101.s doi: 10.1016/j.neunet.2019.01.015.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data modalities using deep convolutional neural networks. (Fulltekst: https://arxiv.org/abs/1709.07383 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018; Volum 11 (6). ISSN 1939-1404.s 1758 - 1768.s doi: 10.1109/JSTARS.2018.2834961.

  • Strauman, Andreas Storvik; Bianchi, Filippo Maria; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert. Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. IEEE 2018 ISBN 9781538624067.s 307 - 310.s doi: 10.1109/BHI.2018.8333430.

  • Hansen, Mads Adrian; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert. Towards deep anchor learning. IEEE 2018 ISBN 9781538624067.s 315 - 318.s doi: 10.1109/BHI.2018.8333432.

  • Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert. Uncertainty modeling and interpretability in convolutional neural networks for polyp segmentation. IEEE Signal Processing Society 2018 ISBN 978-1-5386-5477-4.s doi: 10.1109/MLSP.2018.8516998.

  • Dong, Nanqing; Kampffmeyer, Michael C.; Liang, Xiaodan; Wang, Zeya; Dai, Wei; Xing, Eric P.. Reinforced auto-zoom net: Towards accurate and fast breast cancer segmentation in whole-slide images. Lecture Notes in Computer Science (LNCS) 2018; Volum 11045 LNCS. ISSN 0302-9743.s 317 - 325.s doi: 10.1007/978-3-030-00889-5_36.

  • Kampffmeyer, Michael C.; Dong, Nanqing; Liang, Xiaodan; Zhang, Yujia; Xing, Eric P.. ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Transactions on Image Processing 2018; Volum 28 (5). ISSN 1057-7149.s 2518 - 2529.s doi: 10.1109/TIP.2018.2886997.

  • Dong, Nanqing; Kampffmeyer, Michael C.; Liang, Xiaodan; Wang, Zeya; Dai, Wei; Xing, Eric P.. Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio. Lecture Notes in Computer Science (LNCS) 2018; Volum 11071 LNCS. ISSN 0302-9743.s 544 - 552.s doi: 10.1007/978-3-030-00934-2_61.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. The deep kernelized autoencoder. Applied Soft Computing 2018; Volum 71. ISSN 1568-4946.s 816 - 825.s doi: 10.1016/j.asoc.2018.07.029.

  • Salberg, Arnt Børre; Trier, Øivind Due; Kampffmeyer, Michael C.. Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. Springer 2017 (10270) ISBN 978-3-319-59128-5. ISSN 0302-9743.s 193 - 204.s doi: 10.1007%2F978-3-319-59129-2_17.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based clustering. (Fulltekst: http://ieeexplore.ieee.org/document/8168158/ IEEE Signal Processing Society 2017 ISBN 978-1-5090-6341-3.s doi: 10.1109/MLSP.2017.8168158.

  • Bianchi, Filippo Maria; Kampffmeyer, Michael C.; Maiorino, Enrico; Jenssen, Robert. Temporal overdrive recurrent neural network. IEEE 2017 (2017) ISBN 978-1-5090-6182-2. ISSN 2161-4393.s 4275 - 4282.s doi: 10.1109/IJCNN.2017.7966397.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. (Fulltekst: http://ieeexplore.ieee.org/document/8128164/ IEEE 2017 ISBN 978-1-5090-4951-6.s 5161 - 5164.s doi: 10.1109/IGARSS.2017.8128164.

  • Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Density ridge manifold traversal. IEEE conference proceedings 2017 (2017) ISBN 978-1-5090-4117-6. ISSN 1520-6149.s 2342 - 2346.s doi: 10.1109/ICASSP.2017.7952575.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. Deep kernelized autoencoders. Lecture Notes in Computer Science (LNCS) 2017; Volum 10269 LNCS. ISSN 0302-9743.s 419 - 430.s doi: 10.1007/978-3-319-59126-1_35.

  • Kampffmeyer, Michael C.; Salberg, Arnt-Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops 2016. ISSN 2160-7508.s 680 - 688.s doi: 10.1109/CVPRW.2016.90.

  • Bianchi, Filippo Maria; Maiorino, Enrico; Kampffmeyer, Michael C.; Rizzi, Antonello; Jenssen, Robert. Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis. Springer 2017 (1) ISBN 978-3-319-70338-1. ISSN 2191-5768.

  • Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert. A Robustness Analysis of Personalized Propagation of Neural Prediction. Northern Lights Deep Learning Workshop (NLDL) 2020 2020-01-19 - 2020-01-21 2020.

  • Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Northern Lights Deep Learning Workshop (NLDL) 2020 (Fulltekst: https://septentrio.uit.no/index.php/nldl/article/download/5136/5092 2020-01-19 - 2020-01-21 2020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. SCG-Net for Semantic Labeling. IGARSS 2020 (Fulltekst: https://igarss2020.org/view_paper.php?PaperNum=2222 2020-09-26 - 2020-10-02 2020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR 2020 Workshop on AGRICULTURE-VISION (Fulltekst: https://drive.google.com/file/d/1zNRKn7OtlT3yIk42l12gEJqGE7gsSiKS/view (Prosjekt: https://github.com/samleoqh/MSCG-Net) 2020-06-14 - 2020-06-19 2020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net Models for The 1st Agriculture-Vision Challenge. CVPR 2020 Workshop on AGRICULTURE-VISION (Fulltekst: https://github.com/samleoqh/MSCG-Net (Omtale: https://github.com/samleoqh/MSCG-Net) (Sammendrag: https://github.com/samleoqh/MSCG-Net) 2020-06-14 - 2020-06-19 2020.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop (Omtale: https://slides.com/brianliu/deck) 2019-01-08 - 2019-01-10 2019.

  • Brenn, Torgeir; Gjøvik, Lars-Petter; Rasmussen, Gunnar Ljosdahl; Bauna, Tony; Kampffmeyer, Michael; Jenssen, Robert; Anfinsen, Stian Normann. Operationalizing Ship Detection Using Deep Learning. Maritime Situational Awareness Workshop (MSAW 2019) (Fulltekst: https://www.cmre.nato.int/msaw-2019-home/msaw2019-papers/1398-msaw2019-brenn-operationalizingshipdetectionusingdeeplearning/file 2019-10-08 - 2019-10-10 2019.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019 (Omtale: https://slides.com/brianliu/roadmapping) 2019-07-27 - 2019-08-02 2019.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event 2019-05-22 - 2019-05-24 2019.

  • Kampffmeyer, Michael C.; Jenssen, Robert. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. 2018.

  • Zhang, Yujia; Kampffmeyer, Michael C.; Liang, Xiaodan; Tan, Min; Xing, Eric P.. Query-Conditioned Three-Player Adversarial Network for Video Summarization. British Machine Vision Conference (BMVC) 2018-09-03 - 2018-09-06 2018.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium (Fulltekst: http://ieeexplore.ieee.org/document/8128164/ 2017-07-23 - 2017-07-28 2017.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition Workshops (Fulltekst: http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w19/papers/Kampffmeyer_Semantic_Segmentation_of_CVPR_2016_paper.pdf 2016-07-01 - 2016.

  • Trier, Øivind Due; Salberg, Arnt Børre; Kampffmeyer, Michael C.. Automatic mapping of forest roads. 2016 (SAMBA/41/16).

  • Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning 2016-06-23 - 2016.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs. CIFAR-CRM Deep Learning Summer School 2016 2016-08-07 - 2016.

  • Salberg, Arnt Børre; Hamar, Jarle Bauck; Ardelean, Florina; Johansen, Thomas; Kampffmeyer, Michael C.. Automatic detection and segmentation of avalanches in remote sensing images using deep convolutional neural networks. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop 2016-09-27 - 2016.

  • Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert. A Robustness Analysis of Personalized Propagation of Neural Prediction. Northern Lights Deep Learning Workshop (NLDL) 2020 2020-01-19 - 2020-01-21 2020.

  • Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Northern Lights Deep Learning Workshop (NLDL) 2020 (Fulltekst: https://septentrio.uit.no/index.php/nldl/article/download/5136/5092 2020-01-19 - 2020-01-21 2020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. SCG-Net for Semantic Labeling. IGARSS 2020 (Fulltekst: https://igarss2020.org/view_paper.php?PaperNum=2222 2020-09-26 - 2020-10-02 2020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR 2020 Workshop on AGRICULTURE-VISION (Fulltekst: https://drive.google.com/file/d/1zNRKn7OtlT3yIk42l12gEJqGE7gsSiKS/view (Prosjekt: https://github.com/samleoqh/MSCG-Net) 2020-06-14 - 2020-06-19 2020.

  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net Models for The 1st Agriculture-Vision Challenge. CVPR 2020 Workshop on AGRICULTURE-VISION (Fulltekst: https://github.com/samleoqh/MSCG-Net (Omtale: https://github.com/samleoqh/MSCG-Net) (Sammendrag: https://github.com/samleoqh/MSCG-Net) 2020-06-14 - 2020-06-19 2020.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop (Omtale: https://slides.com/brianliu/deck) 2019-01-08 - 2019-01-10 2019.

  • Brenn, Torgeir; Gjøvik, Lars-Petter; Rasmussen, Gunnar Ljosdahl; Bauna, Tony; Kampffmeyer, Michael; Jenssen, Robert; Anfinsen, Stian Normann. Operationalizing Ship Detection Using Deep Learning. Maritime Situational Awareness Workshop (MSAW 2019) (Fulltekst: https://www.cmre.nato.int/msaw-2019-home/msaw2019-papers/1398-msaw2019-brenn-operationalizingshipdetectionusingdeeplearning/file 2019-10-08 - 2019-10-10 2019.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019 (Omtale: https://slides.com/brianliu/roadmapping) 2019-07-27 - 2019-08-02 2019.

  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event 2019-05-22 - 2019-05-24 2019.

  • Kampffmeyer, Michael C.; Jenssen, Robert. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. 2018.

  • Zhang, Yujia; Kampffmeyer, Michael C.; Liang, Xiaodan; Tan, Min; Xing, Eric P.. Query-Conditioned Three-Player Adversarial Network for Video Summarization. British Machine Vision Conference (BMVC) 2018-09-03 - 2018-09-06 2018.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium (Fulltekst: http://ieeexplore.ieee.org/document/8128164/ 2017-07-23 - 2017-07-28 2017.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition Workshops (Fulltekst: http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w19/papers/Kampffmeyer_Semantic_Segmentation_of_CVPR_2016_paper.pdf 2016-07-01 - 2016.

  • Trier, Øivind Due; Salberg, Arnt Børre; Kampffmeyer, Michael C.. Automatic mapping of forest roads. 2016 (SAMBA/41/16).

  • Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning 2016-06-23 - 2016.

  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs. CIFAR-CRM Deep Learning Summer School 2016 2016-08-07 - 2016.

  • Salberg, Arnt Børre; Hamar, Jarle Bauck; Ardelean, Florina; Johansen, Thomas; Kampffmeyer, Michael C.. Automatic detection and segmentation of avalanches in remote sensing images using deep convolutional neural networks. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop 2016-09-27 - 2016.

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