Publication profile
Publication profile
Michael C Kampffmeyer
Name:
Michael C Kampffmeyer
Title:
Seniorforsker II / 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
Add to contacts (vCard) Show publications
Academic article
2023
. Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data. IEEE Journal of Oceanic Engineering (ISSN 0364-9059). doi: 10.1109/JOE.2022.3226214. 2023.
2022
. Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognition Letters (ISSN 0167-8655). doi: 10.1016/j.patrec.2022.02.007. 2022.
. Generating customer's credit behavior with deep generative models. Knowledge-Based Systems (ISSN 0950-7051). 245 doi: 10.1016/j.knosys.2022.108568. 2022. Arkiv
. M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. Computer Vision and Pattern Recognition (ISSN 1063-6919). pp 21220-21230. doi: 10.1109/CVPR52688.2022.02057. 2022.
. Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 13438 doi: 10.1007/978-3-031-16452-1_7. 2022.
. A self-guided anomaly detection-inspired few-shot segmentation network. CEUR Workshop Proceedings (ISSN 1613-0073). 3271 2022. Arkiv
. A self-guided anomaly detection-inspired few-shot segmentation network. CEUR Workshop Proceedings (ISSN 1613-0073). 3271 2022. Arkiv
. A self-guided anomaly detection-inspired few-shot segmentation network. CEUR Workshop Proceedings (ISSN 1613-0073). 3271 2022.
. This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. Pattern Recognition (ISSN 0031-3203). doi: 10.1016/j.patcog.2022.109172. 2022. Arkiv
. Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. IEEE International Symposium on Biomedical Imaging (ISSN 1945-7928). doi: 10.1109/ISBI52829.2022.9761651. 2022.
. ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. Advances in Neural Information Processing Systems (ISSN 1049-5258). 2022.
. ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. SIGMM Records (ISSN 1947-4598). 2022.
. Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. Advances in Neural Information Processing Systems (ISSN 1049-5258). 2022.
. The Kernelized Taylor Diagram. Communications in Computer and Information Science (ISSN 1865-0929). 2022.
. 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. Arkiv
. Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). doi: 10.1109/TNNLS.2022.3172183. 2022.
. 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. Arkiv
. Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognition (ISSN 0031-3203). 129 doi: 10.1016/j.patcog.2022.108750. 2022. Arkiv
. Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Analysis (ISSN 1361-8415). 78 pp 1-12. doi: 10.1016/j.media.2022.102385. 2022. Arkiv
. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. International Journal of Remote Sensing (ISSN 0143-1161). 43(9) pp 3509-3535. doi: 10.1080/01431161.2022.2098078. 2022.
2021
. 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
. 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
. 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
. 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.
. 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
. 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
. 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
. Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. Proceedings of the Northern Lights Deep Learning Workshop. 2 doi: 10.7557/18.5709. 2021. Arkiv
. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing (ISSN 0143-1161). 42(16) pp 6184-6208. doi: 10.1080/01431161.2021.1936267. 2021. Arkiv
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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.
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. The deep kernelized autoencoder. Applied Soft Computing (ISSN 1568-4946). 71 pp 816-825. doi: 10.1016/j.asoc.2018.07.029. 2018. Arkiv
2017
. 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
. 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 (CVPRW) (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.
Academic chapter/article/Conference paper
2023
. The Kernelized Taylor Diagram. In: Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. (ISBN 9783031170294). doi: 10.1007/978-3-031-17030-0_10. 2023.
2020
. 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
. 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
. 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
2019
. 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
. 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
. 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.
. 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.
. 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. Arkiv
2017
. 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.
. 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
. 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
. 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.
. 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
2022
. Deep learning derived input function in dynamic 18F-FDG PET imaging of mice. The 35th Annual Congress of the European Association of Nuclear Medicine; Barcelona, 10/15/2022 - 10/19/2022.
. The Kernelized Taylor Diagram. NAIS 2022 Symposium; Oslo, 5/31/2022 - 6/1/2022.
. Explaining representations for medical image retrieval. Visual Intelligence Days 2022; Oslo, 9/28/2022.
. Deep Clustering with the Cauchy-Schwarz Divergence. The AAAI-22 Workshop on Information Theory for Deep Learning (IT4DL); Digitalt, 2/28/2022.
2021
. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 - 9/14/2021.
. 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.
. 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
. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference 2021; Tromsø, 1/18/2021 - 1/20/2021.
. Advances in explainable DL & how to model uncertainty in explainability. Visual Intelligence seminar series; Digital, 2/8/2021.
2020
. 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
. 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
. Operationalizing Ship Detection Using Deep Learning. Maritime Situational Awareness Workshop (MSAW 2019); La Spezia, 10/8/2019 - 10/10/2019. Fulltekst
. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019; Yokohama, 7/27/2019 - 8/2/2019. Omtale
. DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop; Tromsø, 1/8/2019 - 1/10/2019. Omtale
2017
. 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
. 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
. 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
. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring Konferanse; Oslo, 9/13/2021 - 9/14/2021.
. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 - 9/14/2021.
. 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.
. Deep Clustering. IEEE CASS Seasonal School on New Trends of Visual and Language Understanding NT-VLU 2021, 8/22/2021.
2020
. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference; Tromsø, 1/18/2020 - 1/20/2020.
Poster
2022
. Leveraging machine learning for finding novel putative virulence factors in Enterococcus faecium. 6th Annual meeting National Graduate School in Infection Biology and Antimicrobials; Oslo, 10/27/2022 - 10/28/2022.
. Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. NORA Annual Conference, 6/9/2022 - 6/10/2022.
. Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. Visual Intelligence Days, 9/28/2022 - 9/29/2022.
. Artifact Detection with Prototypical Relevance Propagation. Northern Lights Deep Learning Conference NLDL 2022, 1/10/2022 - 1/12/2022.
. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference 2022, 1/11/2022 - 1/12/2022.
. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference; Tromsø, 1/11/2022 - 1/12/2022.
2021
. 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
. 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.
. 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
. DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event; Vannes, 5/22/2019 - 5/24/2019.
2018
. Query-Conditioned Three-Player Adversarial Network for Video Summarization. British Machine Vision Conference (BMVC); Newcastle upon Tyne, 9/3/2018 - 9/6/2018.
2016
. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning, 6/23/2016.
. 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
. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. UiT Norges arktiske universitet. pp 196. 2018.
Report
2016
. Automatic mapping of forest roads. Norsk Regnesentral. NR-notat SAMBA/41/16. pp 36. 2016.
Article in business/trade/industry journal
2021
. 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
. Fikk 12 millioner til bildetolking. 2021. uit.no [Internet] 1/6/2021.
. UiT-gruppe får millionstøtte for å tolke bilder. 2021. iTromsø [Avis] 1/11/2021.
Academic monograph
2017
. Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis. 2017.
| Name: | Michael C Kampffmeyer |
| Title: | Seniorforsker II / 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 |
| Add to contacts (vCard) |
| Show publications |
Academic article
2023
. Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data. IEEE Journal of Oceanic Engineering (ISSN 0364-9059). doi: 10.1109/JOE.2022.3226214. 2023.
2022
. Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognition Letters (ISSN 0167-8655). doi: 10.1016/j.patrec.2022.02.007. 2022.
. Generating customer's credit behavior with deep generative models. Knowledge-Based Systems (ISSN 0950-7051). 245 doi: 10.1016/j.knosys.2022.108568. 2022. Arkiv
. M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. Computer Vision and Pattern Recognition (ISSN 1063-6919). pp 21220-21230. doi: 10.1109/CVPR52688.2022.02057. 2022.
. Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 13438 doi: 10.1007/978-3-031-16452-1_7. 2022.
. A self-guided anomaly detection-inspired few-shot segmentation network. CEUR Workshop Proceedings (ISSN 1613-0073). 3271 2022. Arkiv
. A self-guided anomaly detection-inspired few-shot segmentation network. CEUR Workshop Proceedings (ISSN 1613-0073). 3271 2022. Arkiv
. A self-guided anomaly detection-inspired few-shot segmentation network. CEUR Workshop Proceedings (ISSN 1613-0073). 3271 2022.
. This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. Pattern Recognition (ISSN 0031-3203). doi: 10.1016/j.patcog.2022.109172. 2022. Arkiv
. Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. IEEE International Symposium on Biomedical Imaging (ISSN 1945-7928). doi: 10.1109/ISBI52829.2022.9761651. 2022.
. ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. Advances in Neural Information Processing Systems (ISSN 1049-5258). 2022.
. ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. SIGMM Records (ISSN 1947-4598). 2022.
. Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning. Advances in Neural Information Processing Systems (ISSN 1049-5258). 2022.
. The Kernelized Taylor Diagram. Communications in Computer and Information Science (ISSN 1865-0929). 2022.
. 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. Arkiv
. Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems (ISSN 2162-237X). doi: 10.1109/TNNLS.2022.3172183. 2022.
. 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. Arkiv
. Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognition (ISSN 0031-3203). 129 doi: 10.1016/j.patcog.2022.108750. 2022. Arkiv
. Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Analysis (ISSN 1361-8415). 78 pp 1-12. doi: 10.1016/j.media.2022.102385. 2022. Arkiv
. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. International Journal of Remote Sensing (ISSN 0143-1161). 43(9) pp 3509-3535. doi: 10.1080/01431161.2022.2098078. 2022.
2021
. 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
. 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
. 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
. 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.
. 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
. 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
. 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
. Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. Proceedings of the Northern Lights Deep Learning Workshop. 2 doi: 10.7557/18.5709. 2021. Arkiv
. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing (ISSN 0143-1161). 42(16) pp 6184-6208. doi: 10.1080/01431161.2021.1936267. 2021. Arkiv
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. 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.
. 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
. 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
. 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
. 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
. 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
. 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
. 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
. The deep kernelized autoencoder. Applied Soft Computing (ISSN 1568-4946). 71 pp 816-825. doi: 10.1016/j.asoc.2018.07.029. 2018. Arkiv
2017
. 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
. 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 (CVPRW) (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.
Academic chapter/article/Conference paper
2023
. The Kernelized Taylor Diagram. In: Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. (ISBN 9783031170294). doi: 10.1007/978-3-031-17030-0_10. 2023.
2020
. 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
. 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
. 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
2019
. 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
. 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
. 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.
. 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.
. 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. Arkiv
2017
. 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.
. 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
. 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
. 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.
. 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
2022
. Deep learning derived input function in dynamic 18F-FDG PET imaging of mice. The 35th Annual Congress of the European Association of Nuclear Medicine; Barcelona, 10/15/2022 - 10/19/2022.
. The Kernelized Taylor Diagram. NAIS 2022 Symposium; Oslo, 5/31/2022 - 6/1/2022.
. Explaining representations for medical image retrieval. Visual Intelligence Days 2022; Oslo, 9/28/2022.
. Deep Clustering with the Cauchy-Schwarz Divergence. The AAAI-22 Workshop on Information Theory for Deep Learning (IT4DL); Digitalt, 2/28/2022.
2021
. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 - 9/14/2021.
. 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.
. 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
. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference 2021; Tromsø, 1/18/2021 - 1/20/2021.
. Advances in explainable DL & how to model uncertainty in explainability. Visual Intelligence seminar series; Digital, 2/8/2021.
2020
. 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
. 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
. Operationalizing Ship Detection Using Deep Learning. Maritime Situational Awareness Workshop (MSAW 2019); La Spezia, 10/8/2019 - 10/10/2019. Fulltekst
. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019; Yokohama, 7/27/2019 - 8/2/2019. Omtale
. DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop; Tromsø, 1/8/2019 - 1/10/2019. Omtale
2017
. 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
. 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
. 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
. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring Konferanse; Oslo, 9/13/2021 - 9/14/2021.
. Towards Explainable Representation Learning. Norsk Forening for Bildebehandling og Maskinlæring 2021; Oslo, 9/13/2021 - 9/14/2021.
. 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.
. Deep Clustering. IEEE CASS Seasonal School on New Trends of Visual and Language Understanding NT-VLU 2021, 8/22/2021.
2020
. Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction. Northern Lights Deep Learning Conference; Tromsø, 1/18/2020 - 1/20/2020.
Poster
2022
. Leveraging machine learning for finding novel putative virulence factors in Enterococcus faecium. 6th Annual meeting National Graduate School in Infection Biology and Antimicrobials; Oslo, 10/27/2022 - 10/28/2022.
. Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. NORA Annual Conference, 6/9/2022 - 6/10/2022.
. Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. Visual Intelligence Days, 9/28/2022 - 9/29/2022.
. Artifact Detection with Prototypical Relevance Propagation. Northern Lights Deep Learning Conference NLDL 2022, 1/10/2022 - 1/12/2022.
. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference 2022, 1/11/2022 - 1/12/2022.
. RELAX: Representation Learning Explainability. Northern Lights Deep Learning Conference; Tromsø, 1/11/2022 - 1/12/2022.
2021
. 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
. 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.
. 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
. DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event; Vannes, 5/22/2019 - 5/24/2019.
2018
. Query-Conditioned Three-Player Adversarial Network for Video Summarization. British Machine Vision Conference (BMVC); Newcastle upon Tyne, 9/3/2018 - 9/6/2018.
2016
. Ambient space manifold learning using density ridges. ICML2016 Workshop on Geometry in Machine Learning, 6/23/2016.
. 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
. Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning. UiT Norges arktiske universitet. pp 196. 2018.
Report
2016
. Automatic mapping of forest roads. Norsk Regnesentral. NR-notat SAMBA/41/16. pp 36. 2016.
Article in business/trade/industry journal
2021
. 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
. Fikk 12 millioner til bildetolking. 2021. uit.no [Internet] 1/6/2021.
. UiT-gruppe får millionstøtte for å tolke bilder. 2021. iTromsø [Avis] 1/11/2021.
Academic monograph
2017
. Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis. 2017.
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