| Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks M Kampffmeyer, AB Salberg, R Jenssen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 654 | 2016 |
| Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen Springer, 2017 | 523* | 2017 |
| Rethinking knowledge graph propagation for zero-shot learning M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 363 | 2019 |
| Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps K Wickstrøm, M Kampffmeyer, R Jenssen Medical Image Analysis 60, 101619, 2020 | 141 | 2020 |
| Reconsidering Representation Alignment for Multi-view Clustering DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 127 | 2021 |
| Dense dilated convolutions’ merging network for land cover classification Q Liu, M Kampffmeyer, R Jenssen, AB Salberg IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6309-6320, 2020 | 115 | 2020 |
| Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 108 | 2018 |
| Deep image translation with an affinity-based change prior for unsupervised multimodal change detection LT Luppino, M Kampffmeyer, FM Bianchi, G Moser, SB Serpico, ... IEEE Transactions on Geoscience and Remote Sensing, 2021 | 97 | 2021 |
| Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images LT Luppino, MA Hansen, M Kampffmeyer, FM Bianchi, G Moser, ... IEEE Transactions on Neural Networks and Learning Systems 35 (1), 60-72, 2022 | 86 | 2022 |
| Learning representations of multivariate time series with missing data FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen Pattern Recognition 96, 106973, 2019 | 78* | 2019 |
| Mixing up contrastive learning: Self-supervised representation learning for time series K Wickstrøm, M Kampffmeyer, KØ Mikalsen, R Jenssen Pattern Recognition Letters 155, 54-61, 2022 | 77 | 2022 |
| Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels S Hansen, S Gautam, R Jenssen, M Kampffmeyer Medical Image Analysis 78, 102385, 2022 | 68 | 2022 |
| ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation M Kampffmeyer, N Dong, X Liang, Y Zhang, EP Xing IEEE Transactions on Image Processing 28 (5), 2518-2529, 2018 | 67 | 2018 |
| Deep divergence-based approach to clustering M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen Neural Networks 113, 91-101, 2019 | 66 | 2019 |
| M3D-VTON: A Monocular-to-3D Virtual Try-On Network F Zhao, Z Xie, M Kampffmeyer, H Dong, S Han, T Zheng, T Zhang, ... ICCV 2021, 2021 | 64 | 2021 |
| Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks M Kampffmeyer, AB Salberg, R Jenssen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 52 | 2018 |
| Deep generative models for reject inference in credit scoring RA Mancisidor, M Kampffmeyer, K Aas, R Jenssen Knowledge-Based Systems 196, 105758, 2020 | 48 | 2020 |
| Uncertainty Modeling and Interpretability in Convolutional Neural Networks for Polyp Segmentation K Wickstrøm, M Kampffmeyer, R Jenssen 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 48 | 2018 |
| Dtr-gan: Dilated temporal relational adversarial network for video summarization Y Zhang, M Kampffmeyer, X Zhao, M Tan Proceedings of the ACM Turing Celebration Conference-China, 89, 2019 | 47 | 2019 |
| Query-Conditioned Three-Player Adversarial Network for Video Summarization Y Zhang, M Kampffmeyer, X Liang, M Tan, EP Xing British Machine Vision Conference (BMVC), 2018, 2018 | 47 | 2018 |
Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPH在 uit.no 的电子邮件经过验证
