Privacy-aware presence management in instant messaging systems. - Karsten Loesing; Markus Dorsch; Martin Grote; Knut Hildebrandt; Maximilian Röglinger; Matthias Sehr; Christian Wilms; Guido Wirtz (IPDPS, 2006)

Implementation of an Instant Messaging System with Focus on Protection of User Presence. - Karsten Loesing; Maximilian Röglinger; Christian Wilms; Guido Wirtz (COMSWARE, 2007)

Performance Measurements and Statistics of Tor Hidden Services. - Karsten Loesing; Werner Sandmann; Christian Wilms; Guido Wirtz (SAINT, 2008)

Edge Adaptive Seeding for Superpixel Segmentation. - Christian Wilms; Simone Frintrop (GCPR, 2017)

AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects. - Christian Wilms; Simone Frintrop (ACCV (2), 2018)

Superpixel-based Refinement for Object Proposal Generation. - Christian Wilms; Simone Frintrop (ICPR, 2020)

Which Airline is This? Airline Logo Detection in Real-World Weather Conditions. - Christian Wilms; Rafael Heid; Mohammad Araf Sadeghi; Andreas Ribbrock; Simone Frintrop (ICPR, 2020)

DeepFH segmentations for superpixel-based object proposal refinement. - Christian Wilms; Simone Frintrop (Image Vis. Comput., 2021)

Localizing Small Apples in Complex Apple Orchard Environments. - Christian Wilms; Robert Johanson; Simone Frintrop (CoRR, 2022)

Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask. - Christian Wilms; Alexander Michael Gerlach; Rüdiger Schmitz; Simone Frintrop (CoRR, 2022)

Superpixels and Attention for High-quality Object Proposals in Complex Environments. - Christian Wilms (2022)

Hands in Focus: Sign Language Recognition Via Top-Down Attention. - Noha A. Sarhan; Christian Wilms; Vanessa Closius; Ulf Brefeld; Simone Frintrop (ICIP, 2023)

Small, but Important: Traffic Light Proposals for Detecting Small Traffic Lights and Beyond. - Tom Sanitz; Christian Wilms; Simone Frintrop (ICVS, 2023)

High-Level Features Parallelization for Inference Cost Reduction Through Selective Attention. - André Peter Kelm; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (CoRR, 2023)

AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection. - Mykhailo Koshil; Tilman Wegener; Detlef Mentrup; Simone Frintrop; Christian Wilms (ECCV Workshops (4), 2024)

SOS: Segment Object System for Open-World Instance Segmentation with Object Priors. - Christian Wilms; Tim Rolff; Maris Hillemann; Robert Johanson; Simone Frintrop (ECCV (27), 2024)

Dynamic Inference and Top-down Attention in a Hierarchical Classification Network. - André Peter Kelm; Niels Hannemann; Bruno Heberle; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (ICPR (8), 2024)

S3AD: Semi-supervised Small Apple Detection in Orchard Environments. - Robert Johanson; Christian Wilms; Ole Johannsen; Simone Frintrop (WACV, 2024)

Select High-Level Features: Efficient Experts from a Hierarchical Classification Network. - André Peter Kelm; Niels Hannemann; Bruno Heberle; Lucas Schmidt; Tim Rolff; Christian Wilms; Ehsan Yaghoubi; Simone Frintrop (CoRR, 2024)

ContextLoss: Context Information for Topology-Preserving Segmentation. - Benedict Schacht; Imke Greving; Simone Frintrop; Berit Zeller-Plumhoff; Christian Wilms (CoRR, 2025)