Dr. Christian Wilms

• Object recognition (object proposal generation, instance segmentation, object detection)
• Image segmentation
• Foundation models for segmentation
• Superpixel-based algorithms
• Applications of computer vision
  
  
  
  
  

2024

• André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Dynamic Inference and Top-down Attention in a Hierarchical Classification Network, in Proceedings of the 27th International Conference on Pattern Recognition (ICPR 2024), Lecture Notes in Computer Science, vol. 15328, A. Antonacopoulos, S. Chaudhuri, R. Chellappa, C.-L. Liu, S. Bhattacharya, U. Pal, Eds., Springer, Kolkata, India, December 1–5, 2024,[arxiv]
• Mykhailo Koshil, Tilman Wegener, Detlef Mentrup, Simone Frintrop, Christian Wilms: AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection, 2nd workshop on Vision-based InduStrial InspectiON (VISION) @ECCV, 2024, [PDF], [arxiv], [poster]
• Christian Wilms, Tim Rolff, Maris Hillemann, Robert Johanson, Simone Frintrop: SOS: Segment Object System for Open-World Instance Segmentation With Object Priors, European Conference on Computer Vision (ECCV), 2024, [PDF], [arxiv], [supp. mat.], [code], [video], [poster]
• André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Select High-Level Features: Efficient Experts from a Hierarchical Classification Network, 5th Workshop on practical ML for limited/low resource settings (PML4LRS) at ICLR 2024,[arxiv], [PDF]
• Robert Johanson*, Christian Wilms*, Ole Johannsen, Simone Frintrop: S³AD: Semi-supervised Small Apple Detection in Orchard Environments, Winter Conference on Applications of Computer Vision (WACV), 2024, [dataset], [PDF], [supp. mat.], [arxiv], [poster], [video]

2023

• Noha Sarhan, Christian Wilms, Vanessa Closius, Ulf Brefeld, Simone Frintrop: Hands in Focus: Sign Language Recognition via Top-Down Attention, International Conference on Image Processing (ICIP), 2023, [PDF]
• Tom Sanitz*, Christian Wilms*, Simone Frintrop: Small, but important: Traffic light proposals for detecting small traffic lights and beyond, International Conference on Computer Vision Systems (ICVS), 2023 [PDF], [arXiv]
• André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention, arXiv:2308.05128, 2023, [arXiv], [PDF]

2022

• Christian Wilms: Superpixels and Attention for High-quality Object Proposals in Complex Environments, PhD Thesis, 2022, [PDF]
• Christian Wilms, Alexander Michael Gerlach, Rüdiger Schmitz, and Simone Frintrop: Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask, arXiv:2203.11358, 2022, [arXiv]
• Christian Wilms, Robert Johanson, and Simone Frintrop: Localizing Small Apples in Complex Apple Orchard Environments, arXiv:2202.11372, 2022, [arXiv]

2021

• Christian Wilms, Simone Frintrop: DeepFH Segmentations for Superpixel-based Object Proposal Refinement, Image and Vision Computing (IMAVIS), 2021 [PDF]

2020

• Christian Wilms, Rafael Heid, Mohammad Araf Sadeghi, Andreas Ribbrock, Simone Frintrop: Which Airline is This? Airline Logo Detection in Real-World Weather Conditions, International Conference on Pattern Recognition (ICPR), 2020 [PDF]
• Christian Wilms, Simone Frintrop: Superpixel-based Refinement for Object Proposal Generation, International Conference on Pattern Recognition (ICPR), 2020 [webpage], [PDF]

2018

• Christian Wilms, Simone Frintrop: AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects, Asian Conference on Computer Vision (ACCV), 2018 [webpage], [PDF], [video]

2017

• Christian Wilms, Simone Frintrop:  Edge Adaptive Seeding for Superpixel Segmentation, Proc. of the German Conference on Pattern Recognition (GCPR), 2017 [webpage], [PDF]

2016

• Benjamin Seppke, Leonie Dreschler-Fischer, Christian Wilms: Robust Superpixel Based Segmentation for Urbanization Monitoring by Means of Spectral Remote Sensing Images, in Proceedings of the DLT DGPF Symposium, Bern, 2016 [PDF]

• Benjamin Seppke, Leonie Dreschler-Fischer, Christian Wilms: A Robust Concurrent Approach for Road Extraction and Urbanization Monitoring Based on Superpixels Acquired from Spectral Remote Sensing Images, in Proceedings of the European Space Agency (ESA) Living Planet Symposium, 2016 [PDF]

* indicates equal contribution