Michael C Kampffmeyer

Deep Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data

Choi, Changkyu; Kampffmeyer, Michael Christian; Handegard, Nils Olav; Salberg, Arnt-Børre; Jenssen, Robert

The Kernelized Taylor Diagram

Johnson, Juan Emmanuel; Løkse, Sigurd Eivindson; Camps-Valls, Gustau; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings

Trosten, Daniel Johansen; Chakraborty, Rwiddhi; Løkse, Sigurd Eivindson; Wickstrøm, Kristoffer; Jenssen, Robert; Kampffmeyer, Michael

Supercm: Revisiting Clustering for Semi-Supervised Learning

Singh, Durgesh Kumar; Boubekki, Ahcene; Jenssen, Robert; Kampffmeyer, Michael

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy

Wickstrøm, Kristoffer; Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Yu, Shujian; Príncipe, José C.; Jenssen, Robert

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy

Wickstrøm, Kristoffer Knutsen; Løkse, Sigurd Eivindson; Kampffmeyer, Michael Christian; Yu, Shujian; Príncipe, José C.; Jenssen, Robert

Risk Prediction of Diabetic Retinopathy in the Tromsø Study

Størdal, Magnus Oterhals; Ricaud, Benjamin; Kampffmeyer, Michael Christian; Bertelsen, Geir; Erke, Maja Gran

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation

Tomasetti, Luca; Hansen, Stine; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Kampffmeyer, Michael Christian

Learning from limited labelled data for medical image segmentation

Kampffmeyer, Michael Christian

UiT Machine Learning Group

Kampffmeyer, Michael Christian

Hva er kunstig intelligens (KI)? Muligheter og utfordringer

Kampffmeyer, Michael Christian

Risk Prediction of Diabetic Retinopathy in the Tromsø Study

Størdal, Magnus Oterhals; Ricaud, Benjamin; Kampffmeyer, Michael Christian; Bertelsen, Geir; Erke, Maja Gran

Deep Clustering with the Cauchy-Schwarz Divergence

Trosten, Daniel Johansen; Wickstrøm, Kristoffer; Yu, Shujian; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael

Mixing up contrastive learning: Self-supervised representation learning for time series

Wickstrøm, Kristoffer; Kampffmeyer, Michael; Mikalsen, Karl Øyvind; Jenssen, Robert

A self-guided anomaly detection-inspired few-shot segmentation network

Hansen, Stine; Gautam, Srishti; Kampffmeyer, Michael; Jenssen, Robert

A self-guided anomaly detection-inspired few-shot segmentation network

Salahuddin, Suaiba Amina; Hansen, Stine; Gautam, Srishti; Kampffmeyer, Michael; Jenssen, Robert

The Kernelized Taylor Diagram

Wickstrøm, Kristoffer; Johnson, Juan Emmanuel; Løkse, Sigurd Eivindson; Camps-Valls, Gusatu; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert

Towards Explainable Representation Learning

Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd Eivindson

Towards Explainable Representation Learning

Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind

Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data

Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Eikvil, Line; Jenssen, Robert

Semi-supervised target classification in multi-frequency echosounder data

Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre

Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann

Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction

Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Revhaug, Arthur

MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre

Deep generative models for reject inference in credit scoring

Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert

Explaining decisions of deep neural networks used for fish age prediction

Ordonez, Alba; Eikvil, Line; Salberg, Arnt-Børre; Harbitz, Alf; Murray, Sean Meling; Kampffmeyer, Michael

SCG-Net for Semantic Labeling

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre

The 1st Agriculture-Vision Challenge: Methods and Results

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

Learning latent representations of bank customers with the Variational Autoencoder

Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert

Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network

Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre

DDCM-Net for Semantic Mapping of Remote Sensing Images

Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre

Deep divergence-based approach to clustering

Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert

Urban land cover classification with missing data modalities using deep convolutional neural networks

Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert

Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks

Salberg, Arnt Børre; Trier, Øivind Due; Kampffmeyer, Michael C.

Deep divergence-based clustering

Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert

Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs

Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert

Automatic detection and segmentation of avalanches in remote sensing images using deep convolutional neural networks

Salberg, Arnt Børre; Hamar, Jarle Bauck; Ardelean, Florina; Johansen, Thomas; Kampffmeyer, Michael C.

Automatic mapping of forest roads

Trier, Øivind Due; Salberg, Arnt Børre; Kampffmeyer, Michael C.