- Niklas Strauß and Matthias Schubert: Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem, to appear at the SIAM Int. Conference on Data Mining (SDM'24), 18.04-20-04.20 in Houston, Texas, U.S.
- Maximilian Bernhard, Yannic Kindermann, Roberto Amoroso, Matthias Schubert, Lorenzo Baraldi, Rita Cucchiara and Volker Tresp:
What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU, to appear at the
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 24), 4.01–08.01 2024, Waikoloa, Hawaii
- Maximilian Bernhard, Niklas Strauß, Matthias Schubert: MapFormer: Boosting Change Detection by Using Pre-change Information, in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 23), 2-5 October 2023, Paris, France
- David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl: Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning, in Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023),30.9-05.10 2023, Kraków, Poland
- Lukas Rottkamp, Niklas Strauß, Matthias Schubert: DEAR: Dynamic Electric Ambulance Redeployment, in Proceedings of the 18th International Symposium on Spatial and Temporal Data (SSTD 23),23-25 August 23, Calgary, AB, Canada
- David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl: Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning, in Proceedings of 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), 25–28 May 2023, Osaka, Japan
- Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl and Volker Tresp: InstanceFormer: An online Video Instance Segmentation Framework, in Proceedings of the 37th Conference on Artificial Intelligence (AAAI 2023). Washington, DC, USA, 2023
- Maximilian Bernhard, Niklas Strauß, Matthias Schubert: MapFormer: Boosting Change Detection by Using Pre-change Information. CoRR abs/2303.17859 (2023)
- Lukas Rottkamp, Matthias Schubert, Niklas Strauß: Efficient on-street parking sensor placement. IWCTS@SIGSPATIAL 2022: 13:1-13:8
- Maximilian Bernhard, Matthias Schubert: Robust object detection in remote sensing imagery with noisy and sparse geo-annotations. SIGSPATIAL/GIS 2022: 25:1-25:4
- Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert: A Comparison of Ambulance Redeployment Systems on Real-World Data. ICDM (Workshops) 2022: 1-8
- Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Zhang Xiong: Multi-Modal Contrastive Pre-training for Recommendation. ICMR 2022: 99-108
- David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl: Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. ECML/PKDD (6) 2022: 185-200
- Niklas Strauß, David Winkel, Max Berrendorf, Matthias Schubert: Reinforcement Learning for Multi-Agent Stochastic Resource Collection. ECML/PKDD (4) 2022: 200-215
- Christian M. M. Frey, Yunpu Ma, Matthias Schubert: SEA: Graph Shell Attention in Graph Neural Networks. ECML/PKDD (2) 2022: 326-343
- Tanveer Hannan, Rajat Koner, Jonathan Kobold, Matthias Schubert: Box Supervised Video Segmentation Proposal Network. CoRR abs/2202.07025 (2022)
- Christian M. M. Frey, Matthias Schubert: V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs. CoRR abs/2208.01735 (2022)
- Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp: InstanceFormer: An Online Video Instance Segmentation Framework. CoRR abs/2208.10547 (2022)
- Maximilian Bernhard, Matthias Schubert: Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version). CoRR abs/2210.12989 (2022)
- Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer: TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL 2022: 22-31
- Maximilian Bernhard, Matthias Schubert: Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications. Remote. Sens. 13(24): 4962 (2021)
- Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert: Efficient Parking Search using Shared Fleet Data. MDM 2021: 115-120
- Christian M. M. Frey, Yunpu Ma, Matthias Schubert: SEA: Graph Shell Attention in Graph Neural Networks. CoRR abs/2110.10674 (2021)
- Christian M. M. Frey, Yunpu Ma, Matthias Schubert: MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. CoRR abs/2110.14284 (2021)
- Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao: Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. Remote. Sens. 12(9): 1432 (2020)
- Lukas Rottkamp, Matthias Schubert: Quantifying the potential of data-driven mobility support systems. IWCTS@SIGSPATIAL 2020: 2:1-2:10
- Sebastian Schmoll, Matthias Schubert: Semi-Markov Reinforcement Learning for Stochastic Resource Collection. IJCAI 2020: 3349-3355
- Sabrina Friedl, Sebastian Schmoll, Felix Borutta, Matthias Schubert: SMART-Env. MDM 2020: 234-235
- Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert: Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions. WI/IAT 2020: 25-32
- Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert: Unsupervised Anomaly Detection for X-Ray Images. CoRR abs/2001.10883 (2020)
- Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao: Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. CoRR abs/2003.09085 (2020)
- Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl: Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. CoRR abs/2009.12875 (2020)
- Michael Fromm, Matthias Schubert, Guillermo Castilla, Julia Linke, Gregory J. McDermid: Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks. Remote. Sens. 11(21): 2585 (2019)
- Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert: Spatial Interpolation with Message Passing Framework. ICDM Workshops 2019: 135-141
- Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert: XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. ICDM Workshops 2019: 142-148
- Sebastian Schmoll, Sabrina Friedl, Matthias Schubert: Scaling the Dynamic Resource Routing Problem. SSTD 2019: 80-89
- Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert: Structural Graph Representations based on Multiscale Local Network Topologies. WI 2019: 91-98
- Teodora Pandeva, Matthias Schubert: MMGAN: Generative Adversarial Networks for Multi-Modal Distributions. CoRR abs/1911.06663 (2019)
for older publications please refer to: