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Publication profile

Michael C Kampffmeyer

Michael C, Kampffmeyer
Name: Michael C Kampffmeyer
Title: Seniorforsker / Senior Research Scientist II
Phone: (+47) +47 90 60 20 98 Mob: +47 906 02 098
Email: kampffmeyer [at] nr [dot] no
Scientific areas: Deep learning, Machine learning
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Academic article
2022
Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Generating customer's credit behavior with deep generative models. Knowledge-Based Systems (ISSN 0950-7051). 245 pp 1-13. doi: 10.1016/j.knosys.2022.108568. 2022.
Dong, Nanqing; Kampffmeyer, Michael; Liang, Xiaodan; Xu, Min; Voiculescu, Irina; Xing, Eric. Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Applied Soft Computing (ISSN 1568-4946). 114 doi: 10.1016/j.asoc.2021.108074. 2022.
Wickstrøm, Kristoffer; Kampffmeyer, Michael; Mikalsen, Karl Øyvind; Jenssen, Robert. Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognition Letters (ISSN 0167-8655). 155 pp 54-61. doi: 10.1016/j.patrec.2022.02.007. 2022.
2021
Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Oyvind; 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 (ISSN 2168-2194). 25(7) pp 2435-2444. doi: 10.1109/JBHI.2020.3042637. 2021. Arkiv
Zhao, Fuwei; Xie, Zhenyu; Kampffmeyer, Michael; Dong, Haoye; Han, Songfang; Zheng, Tianxiang; Zhang, Tao; Liang, Xiaodan. M3D-VTON: A Monocular-to-3D Virtual Try-On Network. IEEE International Conference on Computer Vision (ICCV) (ISSN 1550-5499). doi: 10.48550/arXiv.2108.05126. 2021. Arkiv
Xie, Zhenyu; Huang, Zaiyu; Zhao, Fuwei; Dong, Haoye; Kampffmeyer, Michael; Liang, Xiaodan. Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN. Advances in Neural Information Processing Systems (ISSN 1049-5258). doi: 10.48550/arXiv.2111.10544. 2021. Arkiv
Dong, Nanqing; Kampffmeyer, Michael; Voiculescu, Irina. Self-supervised Multi-task Representation Learning for Sequential Medical Images. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 12977 pp 779-794. doi: 10.1007/978-3-030-86523-8_47. 2021.
Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael. Reconsidering Representation Alignment for Multi-View Clustering. Computer Vision and Pattern Recognition (ISSN 1063-6919). pp 1255-1265. doi: 10.1109/CVPR46437.2021.00131. 2021. Arkiv
Boubekki, Ahcene; Kampffmeyer, Michael; Brefeld, Ulf; Jenssen, Robert. Joint optimization of an autoencoder for clustering and embedding. Machine Learning (ISSN 0885-6125). 110 pp 1901-1937. doi: 10.1007/s10994-021-06015-5. 2021. Arkiv
Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert. Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science (ISSN 1054-3139). 78(7) pp 2615-2627. doi: 10.1093/icesjms/fsab140. 2021. Arkiv Fulltekst
Trosten, Daniel Johansen; Jenssen, Robert; Kampffmeyer, Michael. . Proceedings of the Northern Lights Deep Learning Workshop. 2 doi: 10.7557/18.5709. 2021. Arkiv
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. . International Journal of Remote Sensing (ISSN 0143-1161). 42(16) pp 6184-6208. doi: 10.1080/01431161.2021.1936267. 2021. Arkiv
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 (ISSN 0196-2892). 60 doi: 10.1109/TGRS.2021.3056196. 2021. Arkiv
2020
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. 1 doi: 10.7557/18.5136. 2020. Arkiv
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 (ISSN 0957-4174). 167:114244 pp 1-12. doi: 10.1016/j.eswa.2020.114244. 2020. Arkiv
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. Arkiv
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). 58(9) pp 6309-6320. doi: 10.1109/TGRS.2020.2976658. 2020. Arkiv Fulltekst Omtale
Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Learning latent representations of bank customers with the Variational Autoencoder. Expert Systems With Applications (ISSN 0957-4174). 164 doi: 10.1016/j.eswa.2020.114020. 2020. Arkiv
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. Arkiv
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. Arkiv
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. Arkiv
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. Arkiv
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.
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. Arkiv
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. Arkiv
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. Arkiv
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. Arkiv
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. Arkiv
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. Arkiv Fulltekst
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. Arkiv
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. Arkiv
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. Arkiv
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 chapter/article/Conference paper
2020
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. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 212-218. doi: 10.1109/CVPRW50498.2020.00032. 2020. Arkiv Fulltekst
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre. Self-Constructing Graph Convolutional Networks for Semantic Labeling. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9324719. 2020. Arkiv
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. Arkiv Omtale Fulltekst Sammendrag Data Prosjekt
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. Omtale Fulltekst
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. Omtale
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.
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.
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. Fulltekst
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. Fulltekst
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 lecture
2021
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021. CVPR 2021 Workshop on AGRICULTURE-VISION, 6/20/2021 - 6/21/2021. Fulltekst Omtale Sammendrag
Hansen, Stine; Gautam, Srishti; Jenssen, Robert; Kampffmeyer, Michael. Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision. NOBIM 2021; Radisson Blu Airport Hotel på Gardermoen, 9/13/2021 - 9/14/2021.
Wickstrøm, Kristoffer Knutsen; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Revhaug, Arthur; Jenssen, Robert. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference 2021; Tromsø, 1/18/2021 - 1/20/2021.
Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael; Jenssen, Robert. Advances in explainable DL & how to model uncertainty in explainability. Visual Intelligence seminar series; Digital, 2/8/2021.
Wickstrøm, Kristoffer Knutsen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 - 9/14/2021.
2020
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020. CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (online), 6/14/2020 - 6/19/2020. Fulltekst Omtale Sammendrag
Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. SCG-Net for Semantic Labeling. IGARSS 2020; Virtual Symposium, 9/26/2020 - 10/2/2020. Fulltekst
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; Seattle (Online), 6/14/2020 - 6/19/2020. Prosjekt Fulltekst
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); La Spezia, 10/8/2019 - 10/10/2019. Fulltekst
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; Yokohama, 7/27/2019 - 8/2/2019. Omtale
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; Tromsø, 1/8/2019 - 1/10/2019. Omtale
2017
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; Fort Worth, TX, 7/23/2017 - 7/28/2017. Fulltekst
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 Conference on Computer Vision and Pattern Recognition Workshops; Las Vegas, 7/1/2016. Fulltekst
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, 9/27/2016.
Lecture
2021
Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 7:00:00 AM - 9/14/2021 7:00:00 AM.
Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 2:00:00 AM - 9/14/2021 2:00:00 PM.
Kampffmeyer, Michael. Deep Clustering. IEEE CASS Seasonal School on New Trends of Visual and Language Understanding NT-VLU 2021, 8/22/2021.
Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Revhaug, Arthur. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference; Tromsø, 1/18/2020 1:00:00 AM - 1/20/2020 1:00:00 AM.
Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd Eivindson. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring Konferanse; Oslo, 9/13/2021 2:00:00 AM - 9/14/2021.
Poster
2022
Wickstrøm, Kristoffer Knutsen; Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference 2022, 1/11/2022 - 1/12/2022.
Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference; Tromsø, 1/11/2022 - 1/12/2022.
2021
Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Eikvil, Line; Jenssen, Robert. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data. SFI Visual Intelligence days 2021; Scandic hotel st.Olav, Oslo, Norway, 10/18/2021 - 10/20/2021.
2020
Choi, Changkyu; Kampffmeyer, Michael; Jenssen, Robert. A Robustness Analysis of Personalized Propagation of Neural Prediction. Northern Lights Deep Learning Workshop (NLDL) 2020; UiT The Arctic University of Norway, Tromsø, 1/19/2020 - 1/21/2020.
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; UiT The Arctic University of Norway, Tromsø, 1/19/2020 - 1/21/2020. Arkiv Fulltekst
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, 5/22/2019 - 5/24/2019.
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, 9/3/2018 - 9/6/2018.
2016
Myhre, Jonas Nordhaug; Kampffmeyer, Michael C.; Jenssen, Robert. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning, 6/23/2016.
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, 8/7/2016.
Doctoral dissertation
2018
Kampffmeyer, Michael C.. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. UiT Norges arktiske universitet. pp 196. 2018.
Report
2016
Trier, Øivind Due; Salberg, Arnt Børre; Kampffmeyer, Michael C.. Automatic mapping of forest roads. Norsk Regnesentral. NR-notat SAMBA/41/16. pp 36. 2016.
Article in business/trade/industry journal
2021
Handegard, Nils Olav; Eikvil, Line; Jenssen, Robert; Kampffmeyer, Michael; Salberg, Arnt Børre; Malde, Ketil. Machine Learning + Marine Science: Critical Role of Partnerships in Norway. Journal of Ocean Technology (ISSN 1718-3200). 16(3) pp 1-9. 2021. Arkiv
Interview
2021
Kampffmeyer, Michael. Fikk 12 millioner til bildetolking. 2021. uit.no [Internet] 1/6/2021.
Kampffmeyer, Michael. UiT-gruppe får millionstøtte for å tolke bilder. 2021. iTromsø [Avis] 1/11/2021.
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.
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(+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