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2020 – today
- 2024
[c28]Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Robert Jenssen:
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. ICASSP 2024: 7170-7174- [c27]Muhammad Sarmad, Michael C. Kampffmeyer, Arnt-Børre Salberg:
Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution. IGARSS 2024: 1103-1107 - 2022
- [j11]Anders U. Waldeland, Øivind Due Trier, Arnt-Børre Salberg:
Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning. Int. J. Appl. Earth Obs. Geoinformation 111: 102840 (2022) - [c26]Øivind Due Trier, Arnt-Børre Salberg, Ragnvald Larsen, Ole Torbjørn Nyvoll:
Detection of forest roads in Sentinel-2 images using U-Net. NLDL 2022 - 2021
- [i10]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. CoRR abs/2111.03845 (2021) - 2020
- [j10]Qinghui Liu
, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions' Merging Network for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 58(9): 6309-6320 (2020) - [c25]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR Workshops 2020: 199-205 - [c24]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c23]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Self-Constructing Graph Convolutional Networks for Semantic Labeling. IGARSS 2020: 1801-1804 - [c22]Anders U. Waldeland, Arnt-Børre Salberg, Øivind Due Trier, Andreas Vollrath:
Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning. IGARSS 2020: 1877-1880 - [i9]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions Merging Network for Land Cover Classification. CoRR abs/2003.04027 (2020) - [i8]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Self-Constructing Graph Convolutional Networks for Semantic Labeling. CoRR abs/2003.06932 (2020) - [i7]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i6]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CoRR abs/2004.10327 (2020) - [i5]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. CoRR abs/2009.01599 (2020)
2010 – 2019
- 2019
- [j9]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep divergence-based approach to clustering. Neural Networks 113: 91-101 (2019) - [c21]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019: 5041-5044 - [c20]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. JURSE 2019: 1-4 - [i4]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep Divergence-Based Approach to Clustering. CoRR abs/1902.04981 (2019) - [i3]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. CoRR abs/1908.11799 (2019) - [i2]Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network. CoRR abs/1909.04588 (2019) - 2018
- [j8]Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen:
Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(6): 1758-1768 (2018) - [j7]Arnt-Børre Salberg, Siri Oyen Larsen:
Classification of Ocean Surface Slicks in Simulated Hybrid-Polarimetric SAR Data. IEEE Trans. Geosci. Remote. Sens. 56(12): 7062-7073 (2018) - [c19]Anders U. Waldeland, Jarle Hamar Reksten, Arnt-Børre Salberg:
Avalanche Detection in Sar Images Using Deep Learning. IGARSS 2018: 2386-2389 - [c18]Qinghui Liu, Arnt-Børre Salberg, Robert Jenssen:
A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. IGARSS 2018: 6943-6946 - 2017
- [c17]Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen:
Urban land cover classification with missing data using deep convolutional neural networks. IGARSS 2017: 5161-5164 - [c16]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep divergence-based clustering. MLSP 2017: 1-6 - [c15]Arnt-Børre Salberg, Øivind Due Trier, Michael Kampffmeyer:
Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. SCIA (2) 2017: 193-204 - [c14]Sigurd Løkse, Filippo Maria Bianchi, Arnt-Børre Salberg, Robert Jenssen:
Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data. SCIA (1) 2017: 431-442 - [i1]Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen:
Urban Land Cover Classification with Missing Data Using Deep Convolutional Neural Networks. CoRR abs/1709.07383 (2017) - 2016
- [c13]Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen:
Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. CVPR Workshops 2016: 680-688 - [c12]Jarle Bauck Hamar, Arnt-Børre Salberg, Florina Ardelean:
Automatic detection and mapping of avalanches in SAR images. IGARSS 2016: 689-692 - 2015
- [c11]Arnt-Børre Salberg:
Detection of seals in remote sensing images using features extracted from deep convolutional neural networks. IGARSS 2015: 1893-1896 - [c10]Øystein Rudjord, Arnt-Børre Salberg, Rune Solberg:
Global snow cover mapping using a multi-temporal multi-sensor approach. MultiTemp 2015: 1-4 - 2014
- [j6]Arnt-Børre Salberg, Øystein Rudjord, Anne H. Schistad Solberg:
Oil Spill Detection in Hybrid-Polarimetric SAR Images. IEEE Trans. Geosci. Remote. Sens. 52(10): 6521-6533 (2014) - 2012
- [c9]Arnt-Børre Salberg, Øystein Rudjord, Anne H. Schistad Solberg:
Model based oil spill detection using polarimetric SAR. IGARSS 2012: 5884-5887 - [c8]Arnt-Børre Salberg, Øivind Due Trier:
Temporal analysis of multisensor data for forest change detection using hidden Markov models. IGARSS 2012: 6749-6752 - 2011
- [j5]Arnt-Børre Salberg:
Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images. IEEE Trans. Geosci. Remote. Sens. 49(1-2): 377-387 (2011) - [c7]Arnt-Børre Salberg:
Retraining maximum likelihood classifiers using a low-rank model. IGARSS 2011: 166-169 - [c6]Arnt-Børre Salberg, Øivind Due Trier:
Temporal analysis of forest cover using hidden Markov models. IGARSS 2011: 2322-2325 - [c5]Siri Oyen Larsen, Arnt-Børre Salberg:
Automatic vehicle counts from QuickBird images. JURSE 2011: 9-12
2000 – 2009
- 2009
- [e1]Arnt-Børre Salberg, Jon Yngve Hardeberg, Robert Jenssen:
Image Analysis, 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings. Lecture Notes in Computer Science 5575, Springer 2009, ISBN 978-3-642-02229-6 [contents] - 2007
- [j4]Arnt-Børre Salberg, Alfred Hanssen, Louis L. Scharf:
Robust Multidimensional Matched Subspace Classifiers Based on Weighted Least-Squares. IEEE Trans. Signal Process. 55(3): 873-880 (2007) - 2006
- [j3]Arnt-Børre Salberg, Alfred Hanssen:
A subspace theory for differential chaos-shift keying. IEEE Trans. Circuits Syst. II Express Briefs 53-II(1): 51-55 (2006) - 2005
- [j2]Arnt-Børre Salberg, Ananthram Swami:
Doppler and frequency-offset synchronization in wideband OFDM. IEEE Trans. Wirel. Commun. 4(6): 2870-2881 (2005) - 2004
- [c4]Arnt-Børre Salberg, Alf Harbitz, Alfred Hanssen:
Shape classification of partially occluded objects using subspace detectors. ICIP 2004: 2095-2098 - [c3]Arnt-Børre Salberg, Alf Harbitz:
Object Segmentation and Feature Estimation Using Shadows. ICPR (3) 2004: 674-678 - 2003
- [j1]Arnt-Børre Salberg, Alfred Hanssen:
Stochastic multipulse-PAM: a subspace modulation technique with diversity. Signal Process. 83(12): 2559-2577 (2003) - 2001
- [c2]Arnt-Børre Salberg, Alfred Hanssen:
Subspace detectors for stochastic process shift keying. ICASSP 2001: 2549-2552 - 2000
- [c1]Arnt-Børre Salberg, Alfred Haussen:
Stochastic process shift keying: A novel modulation method for secure digital communications. EUSIPCO 2000: 1-4
Coauthor Index
aka: Michael C. Kampffmeyer
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last updated on 2024-09-28 02:20 CEST by the dblp team
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