Publications

Please see my google scholar: Seyed Eghbal Ghobadi‬ - ‪Google Scholar‬

Selected Publications:

  • R. Hohl, M. Schauer, S.E. Ghobadi, "Deep Learning Based Growth Modeling of Plant Phenotypes", European Conference on Computer Vision 2024, pp. 224-239, DOI: https://doi.org/10.1007/978-3-031-91835-3_1
  • Schauer, R. Hohl, D. Vaupel, D. Bienhaus, and S. E. Ghobadi. “Towards Automated Regulation of Jacobaea Vulgaris in Grassland using Deep Neural Networks.” In: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023, pp. 702–711. DOI: 10.1109/ICCVW60793.2023.00078
  • Hammam, F. Bonarens, S. E. Ghobadi, and C. Stiller. “Identifying out-of-domain objects with dirichlet deep neural networks.” In: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023, pp. 4560–4569. DOI: 10.1109/ICCVW60793.2023.00490
  • Hammam A.; Bonarens, F.; Ghobadi, S.E.; Stiller, C.: Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet Distributions, Accepted in 6th ACM Computer Science in Cars Symposium (CSCS 2022) - 8 Dec. 2022, DOI: 1145/3568160.3570233
  • Houben, S. Abrecht, M. Akila, A. Bär, F. Brockherde, P. Feifel, T. Fingscheidt, S. S. Gannamaneni, S. E. Ghobadi, A. Hammam, A. Haselhoff, F. Hauser, C. Heinzemann, M. Hoffmann, N. Kapoor, F. Kappel, M. Klingner, J. Kronenberger, F. Küppers, J. Löhdefink, M. Mlynarski, M. Mock, F. Mualla, S. Pavlitskaya, M. Poretschkin, A. Pohl, V. Ravi-Kumar, J.Rosenzweig, M. Rottmann, S. Rüping, T. Sämann, J. D. Schneider, E. Schulz, G. Schwalbe, J. Sicking, T. Srivastava, S. Varghese, M. Weber, S. Wirkert, T. Wirtz, and M. Woehrle. “Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.” en. In: Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty Quantification, and Insights Towards Safety. Ed. by T. Fingscheidt, H. Gottschalk, and S. Houben. Cham: Springer International Publishing, 2022, pp. 3–78. DOI: 10.1007/978-3-031-01233-4_1
  • Hammam A.; Bonarens, F.; Ghobadi, S.E.; Stiller, C.: Towards Improved ILVI for Uncertainty Estimation: European Conference on Computer Vision (ECCV), Safe Artificial Intelligence for Automated Driving (SAIAD) Workshop 2022 (24 Oct. 2022) DOI: 10.1007/978-3-031-25072-9_36
  • Nikolaos Chrysalidis ; Seyed Eghbal Ghobadi ; Andreas Heitmann. "Path Planning for a Common Lateral Control System Architecture", Automotive meets Electronic, In: AmE 2018 - Automotive meets Electronics; 9th GMM-Symposium. Mar. 2018, pp. 1–4. Path Planning for a Common Lateral Control System Architecture | VDE Conference Publication | IEEE Xplore
  • Ghobadi, S.E., Loepprich, O.E., Lottner, O., Hartmann K., Weihs W. and Loffeld, O. "2D/3D Image Data Analysis for Object Tracking and Classification", Chapter Book on Advances in Machine Learning and Data Analysis, Springer, 2009, IAENG International Journal of Computer Science. DOI: 10.1007/978-90-481-3177-8_1
  • Ghobadi, S.E.; Hartmann, K.; Weihs, W.; Netramai, C.; Loffeld, O.; Roth, H.: "Detection and Classification of Moving Objects-Stereo or Time-of-Flight Images", IEEE Conference on Computational Intelligence and Security, Guangzhou, China, 3-6 November 2006, pp. 11-16. DOI: 10.1109/ICCIAS.2006.294082
  • Prasad, T.D.A.; Hartmann, K.; Wolfgang, W.; Ghobadi, S.E.; Sluiter, A.: "First steps in enhancing 3D vision technique using 2D/3D sensors", 11. Computer Vision Winter Workshop 2006, Telc, Czech Republic, February 6–8, 2006, pp. 82-86.  https://cmp.felk.cvut.cz/cvww2006/papers/14/14.pdf
  • Ghobadi, S.E., Loepprich, O.E., Ahmadov, F., Bernshausen J.,Hartmann K., and Loffeld, O. :"Real Time Hand Based Robot Control Using 2D/3D Images", 4th International Symposium on Visual Computing ,December 1-3, 2008, Las Vegas, Nevada, USA https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=fd77e8d1f1789260388884a8695651ed3025e05d