{"id":1298,"date":"2018-06-05T11:39:50","date_gmt":"2018-06-05T09:39:50","guid":{"rendered":"https:\/\/www.hsu-hh.de\/ant\/?page_id=1298"},"modified":"2020-03-30T10:59:32","modified_gmt":"2020-03-30T08:59:32","slug":"dipl-ing-andre-kelm","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/ant\/en\/team\/dipl-ing-andre-kelm","title":{"rendered":"Dipl.-Ing. Andr\u00e9 Kelm"},"content":{"rendered":"

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<\/div>\n<\/div>\n
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\"APK\"<\/div>\n<\/div>\n
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Room:<\/div>\n
117<\/div>\n<\/div>\n<\/div>\n
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Phone:<\/div>\n
(040) 6541-3738<\/div>\n<\/div>\n<\/div>\n
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Fax:<\/div>\n
(040) 6541-2834<\/div>\n<\/div>\n<\/div>\n
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E-Mail:<\/div>\n
Andre.Kelm@hsu-hh.de<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Visitor Address<\/div>\n
Helmut-Schmidt-University<\/div>\n
Building H3<\/div>\n
Holstenhofweg 85<\/div>\n
22043 Hamburg<\/div>\n<\/div>\n
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Postal Address<\/div>\n
Helmut-Schmidt-University<\/div>\n
Faculty of Electrical Engineering
\nSignal Processing and Communications
\nP.O. Box 70 08 22
\n22008 Hamburg<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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 <\/p>\n

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Research<\/h3>\n

Image processing with Deep Learning<\/h3>\n

Aim is the segmentation and classification of images in the maritime environment. For this purpose, mainly convolutional neural nets are used. Novel methods are investigated and, if necessary, adapted or developed. Classical image processing algorithms are used to support segmentation.<\/p>\n

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\"FTengl\"
Segmentation CNN<\/figcaption><\/figure>\n

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To understand the scene of the image, new interesting classes like water, sky, … and many more are learned.<\/p>\n

\"Ftraeg\"
Ship-Scene-Segmentation CNN<\/figcaption><\/figure>\n

To support the classification task, a contour extraction method with deep learning was implemented.<\/p>\n

\"Tr\u00e4ger_Kontur\"
Contour Extraction CNN<\/figcaption><\/figure>\n

The RefineContourNet uses an established segmentation network and reaches State-of-the-Art in edge-detection on the BSDS500 Benchmark: BSDS500 SoA<\/a><\/p>\n

Test-Code on\u00a0 https:\/\/github.com\/AndreKelm\/RefineContourNet<\/a><\/p>\n

 <\/p>\n

Supervised project work<\/p>\n

Vijesh Sao Rao \u2013 Training State-of-the-Art CNNs for Segmentation and Contour Detection on Ship Images, Student Project<\/p>\n

Christina Sander \u2013 SSD Analysis and Development of Adaption Proposal for a CNN Ship Detector, Student Project<\/p>\n

Supradeep Chikaballapur Manjunath – Contour Detection using SRCNN,\u00a0 Student Project<\/p>\n

Karthik Kadur Manjunath – Analysing Hypercolumn Features for Object Contour detection and Semantic Segmentation,\u00a0 Student Project<\/p>\n

Supervised Master Theses<\/p>\n

Vijesh Sao Rao \u2013 Generating synthetic NIR images from RGB images using GANs, Master Thesis<\/p>\n

Roc\u00edo Aldana Figueroa \u2013 CNN for Detailed Ship Image Segmentation using Contour and Segmentation Feature Maps, Master Thesis<\/p>\n

Sous-Lieutenant Jean Fissot \u2013 Using Phase-Stretch-Transform Algorithm as an Image-Feature-Extractor, Master Thesis<\/p>\n

Publications<\/p>\n

A. Kelm, V. Rao, U. Z\u00f6lzer:\u00a0Object Contour and Edge Detection with RefineContourNet<\/a> \u2013 Computer Analysis of Images and Patterns, 18th International Conference, CAIP 2019, Salerno, Italy, September 3\u20135, 2019, Proceedings, Part I<\/p>\n

P. Bhattacharya, G. Simkus, C. de Obald\u00eda, A. Kelm, U. Z\u00f6lzer: Convolutional Neural Networks for Digital Signal Processing, LSA2017 – L\u00fcbeck Summer Academy on Medical Technology, July 2017, L\u00fcbeck, Germany.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

  Room: 117 Phone: (040) 6541-3738 Fax: (040) 6541-2834 E-Mail: Andre.Kelm@hsu-hh.de Visitor Address Helmut-Schmidt-University Building H3 Holstenhofweg 85 22043 Hamburg Postal Address Helmut-Schmidt-University Faculty of Electrical Engineering Signal Processing and […]<\/p>\n","protected":false},"author":142,"featured_media":0,"parent":550,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-1298","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/pages\/1298","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/users\/142"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/comments?post=1298"}],"version-history":[{"count":32,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/pages\/1298\/revisions"}],"predecessor-version":[{"id":1809,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/pages\/1298\/revisions\/1809"}],"up":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/pages\/550"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/media?parent=1298"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/categories?post=1298"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ant\/wp-json\/wp\/v2\/tags?post=1298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}