Publications
2020
- Published
TOAD-GAN: Coherent Style Level Generation from a Single Example
Awiszus, M., Schubert, F. & Rosenhahn, B., 9 Oct 2020, Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment . Lelis, L. & Thue, D. (eds.). (Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; vol. 16, no. 1).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Fully Convolutional Neural Network for Detection and Counting of Diatoms on Coatings after Short-Term Field Exposure
Krause, L. M. K., Koc, J., Rosenhahn, B. & Rosenhahn, A., 18 Aug 2020, In: Environmental Science & Technology. 54, 16, p. 10022-10030 9 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Accurate Long-Term Multiple People Tracking Using Video and Body-Worn IMUs
Henschel, R., von Marcard, T. & Rosenhahn, B., 13 Aug 2020, In: IEEE Transactions on Image Processing. 29, p. 8476-8489 14 p., 9166762.Research output: Contribution to journal › Article › Research › peer review
- Published
LR-CNN: Local-Aware Region Cnn for Vehicle Detection in Aerial Imagery
Liao, L., Chen, X., Yang, J., Roth, S., Goesele, M., Yang, M. Y. & Rosenhahn, B., 3 Aug 2020, In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 5, 2, p. 381-388 8 p.Research output: Contribution to journal › Conference article › Research › peer review
- E-pub ahead of print
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic.
Cheng, H., Liao, W., Yang, M. Y., Sester, M. & Rosenhahn, B., 14 Feb 2020, (E-pub ahead of print).Research output: Working paper/Preprint › Preprint
- Published
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
Kluger, F., Brachmann, E., Ackermann, H., Rother, C., Yang, M. Y. & Rosenhahn, B., 2020, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 4633-4642 10 p. (Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online)).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Dreaming neural networks for adaptive polishing
Dittrich, M. A., Rosenhahn, B., Magnor, M., Denkena, B., Malek, T., Munderloh, M. & Kassubeck, M., 2020, Proceedings of the 20th International Conference of the European Society for Precision Engineering and Nanotechnology: EUSPEN 2020. p. 263-266 4 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
- Published
Lifted Disjoint Paths with Application in Multiple Object Tracking
Hornakova, A., Henschel, R., Rosenhahn, B. & Swoboda, P., 2020, Proceedings of the 37th International Conference on Machine Learning. (Proceedings of Machine Learning Research; vol. 119).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
- Published
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
Cheng, H., Liao, W., Yang, M. Y., Sester, M. & Rosenhahn, B., 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020. Institute of Electrical and Electronics Engineers Inc., 9 p. 9294296Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Multiple people tracking using body and joint detections
Henschel, R., Zou, Y. & Rosenhahn, B., 2020, Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, p. 770-779 10 p. 9025639. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2019-June).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Simultaneous identification and tracking of multiple people using video and IMUs
Henschel, R., von Marcard, T. & Rosenhahn, B., 2020, Proceedings: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, p. 780-789 10 p. 9025610. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2019-June).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Temporally Consistent Horizon Lines
Kluger, F., Ackermann, H., Ying Yang, M. & Rosenhahn, B., 2020, 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. Institute of Electrical and Electronics Engineers Inc., p. 3161-3167 7 p. 9197170. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Weakly-supervised Learning of Human Dynamics
Zell, P., Rosenhahn, B. & Wandt, B., 2020, Computer Vision – ECCV 2020: 16th European Conference Glasgow, UK, August 23–28, 2020 Proceedings, Part XXVI. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). p. 68-84 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12371 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
2019
- Published
Learning inverse dynamics for human locomotion analysis
Zell, P. & Rosenhahn, B., 23 Dec 2019, In: Neural Computing and Applications. 32, 15, p. 11729-11743 15 p.Research output: Contribution to journal › Article › Research › peer review
- E-pub ahead of print
Neural Random Forest Imitation
Reinders, C. & Rosenhahn, B., 25 Nov 2019, (E-pub ahead of print).Research output: Working paper/Preprint › Preprint
- Published
Exploiting Attention for Visual Relationship Detection
Hu, T., Liao, W., Yang, M. Y. & Rosenhahn, B., 25 Oct 2019, Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Proceedings. Cham: Springer Nature, p. 331-344 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11824 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Learning to Disentangle Latent Physical Factors for Video Prediction
Zhu, D., Munderloh, M., Rosenhahn, B. & Stückler, J., 25 Oct 2019, Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Proceedings. Fink, G. A., Frintrop, S. & Jiang, X. (eds.). 1. ed. Springer Nature, p. 595-608 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11824 LNCS).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Learning disentangled representations via independent subspaces
Awiszus, M., Ackermann, H. & Rosenhahn, B., Oct 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW): Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 560-568 9 p. 9022161. (IEEE International Conference on Computer Vision Workshops).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Structuring autoencoders
Rudolph, M., Wandt, B. & Rosenhahn, B., Oct 2019, 2019 International Conference on Computer Vision Workshop, ICCVW 2019: Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 615-623 9 p. (IEEE International Conference on Computer Vision Workshops).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Machine learning for measurement-based bandwidth estimation
Khangura, S. K., Fidler, M. & Rosenhahn, B., 15 Aug 2019, In: Computer communications. 144, p. 18-30 13 p.Research output: Contribution to journal › Article › Research › peer review