Computer Vision


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

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Abstract

Journal

Out-of-the-box Calving Front Detection Method Using Deep Learning (2023) Herrmann O, Gourmelon N, Seehaus T, Maier A, Fürst J, Braun M, Christlein V Journal article, Original article CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery (2023) Gourmelon N, Seehaus T, Klink J, Braun M, Maier A, Christlein V Conference contribution, Conference Contribution Conditional Random Fields for Improving Deep Learning-based Glacier Calving Front Delineations (2023) Gourmelon N, Klink J, Seehaus T, Braun M, Maier A, Christlein V Conference contribution, Conference Contribution Classification of incunable glyphs and out-of-distribution detection with joint energy-based models (2023) Kordon FJ, Weichselbaumer N, Herz R, Mossman S, Potten E, Seuret M, Mayr M, Christlein V Journal article, Original article AMD-HookNet for Glacier Front Segmentation (2023) Wu F, Gourmelon N, Seehaus T, Zhang J, Braun M, Maier A, Christlein V Journal article, Original article Comparability of Deep Learning Techniques for Calving Front Segmentation in SAR Imagery (2023) Gourmelon N, Seehaus T, Braun M, Maier A, Christlein V Conference contribution, Abstract of lecture Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery (2022) Gourmelon N, Seehaus T, Braun M, Maier A, Christlein V Journal article, Original article Dissecting Glaciers - Can an Automated Bio-Medical Image Segmentation Tool also Segment Glaciers? (2022) Gourmelon N, Seehaus T, Braun M, Maier A, Christlein V Conference contribution, Abstract of lecture Joint Super-Resolution and Rectification for Solar Cell Inspection (2021) Hoffmann M, Köhler T, Doll B, Schebesch F, Talkenberg F, Peters IM, Brabec C, et al. Journal article, Original article Deep Learning-based Pipeline for Module Power Prediction from EL Measurements (2021) Hoffmann M, Buerhop-Lutz C, Reeb L, Pickel T, Winkler T, Doll B, Würfl T, et al. Journal article, Original article