Publikationen
The following is a list of selected recent publications. For a complete list of publications of Prof. Peer Neubert, please see Google Scholar
Recent Publications
Theisen, N., Bartsch, R., Paulus, D. & Neubert, P. (2024) HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios. In Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
Weißflog, M., Protzel, P. & Neubert, P. (2024). Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM. In Proc. of TAROS
Schlegel, K., Kleyko, D., Brinkmann, B.H., Nurse, E.S., Gayler, R.W., & Neubert, P. (2024). Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. Nature Machine Intelligence Challenge Accepted
Yuan, F., Schubert, S., Protzel, P., and Neubert, P. (2024). Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline. IEEE Robotics and Automation Letters (RA-L) Journal
Schubert, S., Neubert, P., Garg, S., Milford, M. & Fischer, T. (2023) Visual Place Recognition: A Tutorial. IEEE Robotics and Automation Magazine (RAM). DOI: 10.1109/MRA.2023.3310859.
Mints, M., Theisen, N., Neubert, P., & Paulus, D. (2023) Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture. In Proc. of IEEE Sensors
Kramer, I., Weirauch, K., Bauer, S., Mints, M. & Neubert, P. (2023) HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance. CVPR Workshop on Assistive Computer Vision and Robotics.
- Weißflog, M., Protzel, P. & Neubert, P. (2023) FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. In Intelligent Data Engineering and Automated Learning - IDEAL 2023, pages 418-430, Springer Nature Switzerland. ISBN: 978-3-031-48232-8. DOI: 10.1007/978-3-031-48232-8_38
Neubert, P. & Schubert, S. (2022) SEER: Unsupervised and sample-efficient environment specialization of image descriptors. In Proc. of Robotics: Science and Systems (RSS). DOI: 10.15607/RSS.2022.XVIII.006
Schlegel, K., Neubert, P. & Protzel, P. (2022) HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. In Proc. of International Joint Conference on Neural Networks (IJCNN). (early access, to appear in IEEE IJCNN)
Schlegel, K., Neubert, P. & Protzel, P. (2022) A comparison of Vector Symbolic Architectures. Artificial Intelligence Review. DOI: 10.1007/s10462-021-10110-3
Neubert, P., Schubert, S., Schlegel, K. & Protzel, P. (2021) Vector Semantic Representations as Descriptors for Visual Place Recognition. In Proc. of Robotics: Science and Systems (RSS). DOI: 10.15607/RSS.2021.XVII.083
Schubert, S., Neubert, P. & Protzel, P. (2021) Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition. In Proc. of Robotics: Science and Systems (RSS). DOI: 10.15607/RSS.2021.XVII.091
Neubert, P. & Schubert, S. (2021) Hyperdimensional computing as a framework for systematic aggregation of image descriptors. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR46437.2021.01666
Schlegel, K., Mirus, F., Neubert, P. & Protzel, P. (2021) Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing. In Proc. of Intelligent Vehicles Symposium (IV). DOI: 10.1109/IV48863.2021.9576028
Schubert, S., Neubert, P. & Protzel, P. (2021) Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA48506.2021.9561006
Yuan, F., Neubert, P., Schubert, S. & Protzel, P. (2021) SoftMP: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA48506.2021.9562087
Neubert, P., Schubert, S. & Protzel, P. (2021) Resolving Place Recognition Inconsistencies Using Intra-Set Similarities. IEEE Robotics and Automation Letters (RA-L) and ICRA. DOI: 10.1109/LRA.2021.3060729
Schubert, S., Neubert, P. & Protzel, P. (2021) Graph-based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments. In IEEE Robotics and Automation Letters (RA-L). DOI: 10.1109/LRA.2021.3052446