Nora Gourmelon

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Contextual HookFormer for Glacier Calving Front Segmentation (2024) Wu F, Gourmelon N, Seehaus T, Zhang J, Braun M, Maier A, Christlein V Journal article, Original article 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 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 Tapping the Potential of Earth Observation - Calving Front Detection in SAR Images using Deep Learning Techniques (2021) Gourmelon N, Seehaus T, Davari A, Braun M, Maier A, Christlein V Conference contribution, Abstract of lecture Implications of Experiment Set-Ups for Residential Water End-Use Classification (2021) Gourmelon N, Bayer S, Mayle M, Bach G, Bebber C, Munck C, Sosna C, Maier A Journal article, Original article