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Publication profile

Michael C Kampffmeyer

Michael C, Kampffmeyer
Name: Michael C Kampffmeyer
Title: Seniorforsker / Senior Research Scientist II
Phone: (+47) Mob: 90602098
Email: kampffmeyer [at] nr [dot] no
Scientific areas: Deep learning, Machine learning
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    Academic journal articles

    2020

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

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Dense Dilated Convolutions Merging Network for Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). doi: 10.1109/TGRS.2020.2976658. 2020.

    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 (ISSN 1932-6203). 15(6) doi: 10.1371/journal.pone.0235013. 2020.

    2019

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

    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 (ISSN 1063-6919). 2019-June pp 11479-11488. doi: 10.1109/CVPR.2019.01175. 2019.

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

    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 (ISSN 1520-6149). 2019-May pp 3257-3261. doi: 10.1109/ICASSP.2019.8682365. 2019.

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

    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 (ISSN 1380-7501). 78(24) pp 35237-35261. doi: 10.1007/s11042-019-08175-y. 2019.

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

    2018

    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) (ISSN 0302-9743). 11071 LNCS pp 544-552. doi: 10.1007/978-3-030-00934-2_61. 2018.

    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) (ISSN 0302-9743). 11045 LNCS pp 317-325. doi: 10.1007/978-3-030-00889-5_36. 2018.

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

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

    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 (ISSN 1057-7149). 28(5) pp 2518-2529. doi: 10.1109/TIP.2018.2886997. 2018.

    2017

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

    2016

    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 (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.

    Academic chapters

    2020

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 199-205. doi: 10.1109/CVPRW50498.2020.00030. 2020.

    2019

    Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. In: Joint Urban Remote Sensing Event, JURSE 2019. (ISBN 978-1-7281-0009-8). pp 1-4. doi: 10.1109/JURSE.2019.8809046. 2019.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. (ISBN 978-1-5386-9154-0). pp 5041-5044. doi: 10.1109/IGARSS.2019.8900082. 2019.

    2018

    Hansen, Mads Adrian; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert. Towards deep anchor learning. In: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018). (ISBN 9781538624067). pp 315-318. doi: 10.1109/BHI.2018.8333432. 2018.

    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. In: 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018). (ISBN 9781538624067). pp 307-310. doi: 10.1109/BHI.2018.8333430. 2018.

    Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael C.; Jenssen, Robert. Uncertainty modeling and interpretability in convolutional neural networks for polyp segmentation. In: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5386-5477-4). doi: 10.1109/MLSP.2018.8516998. 2018.

    2017

    Bianchi, Filippo Maria; Kampffmeyer, Michael C.; Maiorino, Enrico; Jenssen, Robert. Temporal overdrive recurrent neural network. In: 2017 International Joint Conference on Neural Networks (IJCNN). (ISBN 978-1-5090-6182-2). pp 4275-4282. doi: 10.1109/IJCNN.2017.7966397. 2017.

    Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based clustering. In: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5090-6341-3). doi: 10.1109/MLSP.2017.8168158. 2017. Full-text 

    Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). (ISBN 978-1-5090-4951-6). pp 5161-5164. doi: 10.1109/IGARSS.2017.8128164. 2017. Full-text 

    Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Density ridge manifold traversal. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (ISBN 978-1-5090-4117-6). pp 2342-2346. doi: 10.1109/ICASSP.2017.7952575. 2017.

    Salberg, Arnt Børre; Trier, Øivind Due; Kampffmeyer, Michael C.. Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. In: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. (ISBN 978-3-319-59128-5). pp 193-204. doi: 10.1007%2F978-3-319-59129-2_17. 2017.

    Academic lectures

    2020

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. Workshop, CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (Online), 14.06.2020 - 19.06.2020.

    Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net Models for The 1st Agriculture-Vision Challenge. Workshop, CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (online), 14.06.2020 - 19.06.2020.

    2019

    Brenn, Torgeir; Gjøvik, Lars-Petter; Rasmussen, Gunnar Ljosdahl; Bauna, Tony; Kampffmeyer, Michael; Jenssen, Robert; Anfinsen, Stian Normann. Operationalizing Ship Detection Using Deep Learning. Workshop, Maritime Situational Awareness Workshop (MSAW 2019); La Spezia, 08.10.2019 - 10.10.2019.

    Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. DDCM Network for Semantic Mapping of Remote Sensing Images. Workshop, NLDL2019: Northern Lights Deep Learning Workshop; Tromsø, 08.01.2019 - 10.01.2019.

    Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. Konferanse, IGARSS 2019; Yokohama, 27.07.2019 - 02.08.2019.

    2017

    Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data using deep convolutional neural networks. Konferanse, 2017 IEEE International Geoscience and Remote Sensing Symposium; Fort Worth, TX, 23.07.2017 - 28.07.2017. Full-text 

    2016

    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. Workshop, IEEE Conference on Computer Vision and Pattern Recognition Workshops; Las Vegas, 01.07.2016. Full-text 

    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. Konferanse, The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop, 27.09.2016.

    Posters at scientific conferences

    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; Vannes, 22.05.2019 - 24.05.2019.

    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); Newcastle upon Tyne, 03.09.2018 - 06.09.2018.

    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, 07.08.2016.

    Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning, 23.06.2016.

    Doctoral dissertations

    2018

    Kampffmeyer, Michael C.. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. : UiT Norges arktiske universitet . pp 196. 2018.

    Reports

    2016

    Trier, Øivind Due; Salberg, Arnt Børre; Kampffmeyer, Michael C.. Automatic mapping of forest roads. Norsk Regnesentral, Oslo. NR-notat SAMBA/41/16. pp 36. 2016.

    Academic monograph

    2017

    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. 2017.

Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR