AttentionMask: Attentive, efficient object proposal generation focusing on small objects C Wilms, S Frintrop Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 20 | 2019 |
Which airline is this? Airline logo detection in real-world weather conditions C Wilms, R Heid, MA Sadeghi, A Ribbrock, S Frintrop 2020 25th International Conference on Pattern Recognition (ICPR), 4996-5003, 2021 | 8 | 2021 |
Superpixel-based refinement for object proposal generation C Wilms, S Frintrop 2020 25th International Conference on Pattern Recognition (ICPR), 4965-4972, 2021 | 7 | 2021 |
Localizing small apples in complex apple orchard environments C Wilms, R Johanson, S Frintrop arXiv preprint arXiv:2202.11372, 2022 | 5 | 2022 |
DeepFH segmentations for superpixel-based object proposal refinement C Wilms, S Frintrop Image and Vision Computing 114, 104263, 2021 | 4 | 2021 |
Edge adaptive seeding for superpixel segmentation C Wilms, S Frintrop Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland …, 2017 | 3 | 2017 |
Ein Multi-Selection-Tool für GEF C Wilms Projektbericht Universität Hamburg, 2011 | 3 | 2011 |
Hands in focus: sign language recognition via top-down attention N Sarhan, C Wilms, V Closius, U Brefeld, S Frintrop 2023 IEEE International Conference on Image Processing (ICIP), 2555-2559, 2023 | 2 | 2023 |
Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask C Wilms, AM Gerlach, R Schmitz, S Frintrop arXiv preprint arXiv:2203.11358, 2022 | 2 | 2022 |
A robust concurrent approach for road extraction and urbanization monitoring based on superpixels acquired from spectral remote sensing images B Seppke, L Dreschler-Fischer, C Wilms Proceedings of the DLT DGPF Symposium 25, 2016 | 2 | 2016 |
S3AD: Semi-Supervised Small Apple Detection in Orchard Environments R Johanson, C Wilms, O Johannsen, S Frintrop Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
Select High-Level Features: Efficient Experts from a Hierarchical Classification Network A Kelm, N Hannemann, B Heberle, L Schmidt, T Rolff, C Wilms, ... arXiv preprint arXiv:2403.05601, 2024 | | 2024 |
Small, but important: Traffic light proposals for detecting small traffic lights and beyond T Sanitz, C Wilms, S Frintrop International Conference on Computer Vision Systems, 243-254, 2023 | | 2023 |
High-Level Features Parallelization for Inference Cost Reduction Through Selective Attention AP Kelm, L Schmidt, T Rolff, C Wilms, E Yaghoubi, S Frintrop arXiv preprint arXiv:2308.05128, 2023 | | 2023 |
Superpixels and Attention for High-quality Object Proposals in Complex Environments C Wilms Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2022 | | 2022 |
Robuste Superpixel-basierte Segmentierung von spektralen Fernerkundungsaufnahmen zur Überwachung der Stadtentwicklung anhand von Straßennetzen B SEPPKE, L DRESCHKLER-FISCHER, C WILMS | | |
Edge Adaptive Seeding for Superpixel Segmentation Supplementary Material C Wilms, S Frintrop | | |