Research on handwriting analysis, object tracking and segmentation based on machine learning (b194dc-DocTraSeg)

Internally funded project


Acronym: b194dc-DocTraSeg

Start date : 16.11.2023

End date : 01.05.2026

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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Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Multi-temporal calving front segmentation (2026) Dreier MN, Gourmelon N, Pyles DR, Wu F, Braun M, Seehaus T, Maier A, Christlein V Journal article, Original article Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning (2026) Gourmelon N, Heidler K, Loebel E, Cheng D, Klink J, Dong A, Wu F, et al. Journal article, Original article AMD-HookNet++: Evolution of AMD-HookNet with Hybrid CNN-Transformer Feature Enhancement for Glacier Calving Front Segmentation (2025) Wu F, Dreier MN, Gourmelon N, Wind S, Zhang J, Seehaus T, Braun M, et al. Journal article, Original article IceAnatomy: a benchmark dataset and methodology for automatic ice boundary extraction from radio-echo sounding data (2025) Dreier MN, Koch M, Gourmelon N, Blindow N, Steinhage D, Wu F, Seehaus T, et al. Journal article, Online publication Lightweight cross-attention-based HookNet for historical handwritten document layout analysis (2025) Wu F, Seuret M, Mayr M, Kordon F, Zöllner J, Wind S, Maier A, Christlein V Journal article, Original article Deep learning-based debris flow hazard detection and recognition system: a case study (2025) Wu F, Zhang J, Liu D, Maier A, Christlein V Journal article, Original article 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