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ORCIDMartin Radolko
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2010 – 2019
- 2018
[b1]Martin Radolko:
Change detection in combination with spatial models and its effectiveness on underwater scenarios. Rostock University, Germany, 2018- [c8]Ario Sadafi, Martin Radolko, Iosif Serafeimidis, Steffen Hadlak:
Red Blood Cells Segmentation: A Fully Convolutional Network Approach. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 911-914 - 2017
- [c7]Martin Radolko, Fahimeh Farhadifard, Uwe von Lukas:
Change Detection and Blob Tracking of Fish in Underwater Scenarios. VISIGRAPP (Revised Selected Papers) 2017: 279-304 - [c6]Fahimeh Farhadifard, Martin Radolko, Uwe Freiherr von Lukas:
Single Image Marine Snow Removal based on a Supervised Median Filtering Scheme. VISIGRAPP (4: VISAPP) 2017: 280-287 - [c5]Martin Radolko, Fahimeh Farhadifard, Uwe von Lukas:
Change Detection in Crowded Underwater Scenes - Via an Extended Gaussian Switch Model Combined with a Flux Tensor Pre-segmentation. VISIGRAPP (4: VISAPP) 2017: 405-415 - 2016
- [c4]Fahimeh Farhadifard, Martin Radolko:
Adaptive UW Image Deblurring via Sparse Representation. Eurographics (Short Papers) 2016: 41-44 - 2015
- [c3]Martin Radolko, Fahimeh Farhadifard, Enrico Gutzeit, Uwe Freiherr von Lukas:
Real time video segmentation optimization with a modified Normalized Cut. ISPA 2015: 31-36 - [c2]Martin Radolko, Enrico Gutzeit:
Video Segmentation via a Gaussian Switch Background Model and Higher Order Markov Random Fields. VISAPP (1) 2015: 537-544 - [c1]Enrico Gutzeit, Martin Radolko, Arjan Kuijper
, Uwe von Lukas:
Optimization-based Automatic Segmentation of Organic Objects of Similar Types. VISAPP (1) 2015: 591-598
Coauthor Index
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