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Institutt for fysikk og teknologi michael.c.kampffmeyer@uit.no +4777625264 Tromsø FPARK B 276

Michael Kampffmeyer


Førsteamanuensis / Gruppeleder Maskinlæring

Stillingsbeskrivelse

Member of the UiT Machine Learning Group

Personal website

 


  • Hansen, Stine; Gautam, Srishti; Jenssen, Robert; Kampffmeyer, Michael. Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Analysis 2022; Volum 78. ISSN 1361-8415.s 1 - 12.s doi: 10.1016/j.media.2022.102385.
  • 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 2022; Volum 114. ISSN 1568-4946.s doi: 10.1016/j.asoc.2021.108074.
  • Wickstrøm, Kristoffer; Kampffmeyer, Michael; Mikalsen, Karl Øyvind; Jenssen, Robert. Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognition Letters 2022; Volum 155. ISSN 0167-8655.s 54 - 61.s doi: 10.1016/j.patrec.2022.02.007.
  • Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert. Generating customer's credit behavior with deep generative models. Knowledge-Based Systems 2022; Volum 245. ISSN 0950-7051.s 1 - 13.s doi: 10.1016/j.knosys.2022.108568.
  • 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 2021; Volum 25 (7). ISSN 2168-2194.s 2435 - 2444.s doi: 10.1109/JBHI.2020.3042637.
  • 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; Volum 60. ISSN 0196-2892.s doi: 10.1109/TGRS.2021.3056196.
  • Boubekki, Ahcene; Kampffmeyer, Michael; Brefeld, Ulf; Jenssen, Robert. Joint optimization of an autoencoder for clustering and embedding.. Machine Learning 2021; Volum 110. ISSN 0885-6125.s 1901 - 1937.s doi: 10.1007/s10994-021-06015-5.
  • 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 2021. ISSN 1049-5258.s doi: 10.48550/arXiv.2111.10544.
  • 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) 2021. ISSN 1550-5499.s doi: 10.48550/arXiv.2108.05126.
  • Dong, Nanqing; Kampffmeyer, Michael; Voiculescu, Irina. Self-supervised Multi-task Representation Learning for Sequential Medical Images. Lecture Notes in Computer Science (LNCS) 2021; Volum 12977. ISSN 0302-9743.s 779 - 794.s doi: 10.1007/978-3-030-86523-8_47.
  • Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael. Reconsidering Representation Alignment for Multi-View Clustering. Computer Vision and Pattern Recognition 2021. ISSN 1063-6919.s 1255 - 1265.s doi: 10.1109/CVPR46437.2021.00131.
  • 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. (fulltekst) ICES Journal of Marine Science 2021; Volum 78 (7). ISSN 1054-3139.s 2615 - 2627.s doi: 10.1093/icesjms/fsab140.
  • Trosten, Daniel Johansen; Jenssen, Robert; Kampffmeyer, Michael. Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. Proceedings of the Northern Lights Deep Learning Workshop 2021; Volum 2.s doi: 10.7557/18.5709.
  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing 2021; Volum 42 (16). ISSN 0143-1161.s 6184 - 6208.s doi: 10.1080/01431161.2021.1936267.
  • 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.
  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Dense dilated convolutions merging network for land cover classification. (fulltekst) (omtale) IEEE Transactions on Geoscience and Remote Sensing 2020; Volum 58 (9). ISSN 0196-2892.s 6309 - 6320.s doi: 10.1109/TGRS.2020.2976658.
  • 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) 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.
  • 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. (data) (fulltekst) (omtale) (sammendrag) (prosjekt) 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. (fulltekst) (omtale) IEEE 2019 ISBN 978-1-7281-0009-8.s 1 - 4.s doi: 10.1109/JURSE.2019.8809046.
  • 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.
  • 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.
  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. (omtale) 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.
  • 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.
  • Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert. Urban land cover classification with missing data modalities using deep convolutional neural networks. (fulltekst) 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.
  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based clustering. (fulltekst) 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) 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.
  • 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.; 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.
  • Trosten, Daniel Johansen; Wickstrøm, Kristoffer; Yu, Shujian; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael. Deep Clustering with the Cauchy-Schwarz Divergence. The AAAI-22 Workshop on Information Theory for Deep Learning (IT4DL) 2022-02-28 - 2022-02-28 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 2022-01-11 - 2022-01-12 2022.
  • Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference 2022-01-11 - 2022-01-12 2022.
  • Hansen, Stine; Gautam, Srishti; Jenssen, Robert; Kampffmeyer, Michael. Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision. NOBIM 2021 2021-09-13 - 2021-09-14 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 2021-01-18 - 2021-01-20 2021.
  • Wickstrøm, Kristoffer Knutsen; Kampffmeyer, Michael; Jenssen, Robert. Advances in explainable DL & how to model uncertainty in explainability. Visual Intelligence seminar series 2021-02-08 - 2021-02-08 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 2021-09-13 - 2021-09-14 2021.
  • Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021 2021-09-13 - 2021-09-14 2021.
  • Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021 2021-09-13 - 2021-09-14 2021.
  • Kampffmeyer, Michael. Deep Clustering. IEEE CASS Seasonal School on New Trends of Visual and Language Understanding NT-VLU 2021 2021-08-22 - 2021-08-22 2021.
  • Kampffmeyer, Michael. Fikk 12 millioner til bildetolking. 2021.
  • Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Revhaug, Arthur. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference 2020-01-18 - 2020-01-20 2021.
  • Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd Eivindson. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring Konferanse 2021-09-13 - 2021-09-14 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 2021-10-18 - 2021-10-20 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 2021; Volum 16 (3). ISSN 1718-3200.s 1 - 9.
  • Kampffmeyer, Michael. UiT-gruppe får millionstøtte for å tolke bilder. 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 (fulltekst) (omtale) (sammendrag) 2021-06-20 - 2021-06-21 2021.
  • 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) 2020-01-19 - 2020-01-21 2020.
  • Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre. SCG-Net for Semantic Labeling. IGARSS 2020 (fulltekst) 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) (prosjekt) 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. CVPR 2020 Workshop on AGRICULTURE-VISION (fulltekst) (omtale) (sammendrag) 2020-06-14 - 2020-06-19 2020.
  • 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) 2019-10-08 - 2019-10-10 2019.
  • 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) 2019-01-08 - 2019-01-10 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.
  • 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) 2019-07-27 - 2019-08-02 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) 2017-07-23 - 2017-07-28 2017.
  • 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.
  • 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.
  • 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.
  • Trier, Øivind Due; Salberg, Arnt Børre; Kampffmeyer, Michael C.. Automatic mapping of forest roads. 2016 (SAMBA/41/16).
  • 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) 2016-07-01 - 2016.
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