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S. Javanbakhti, Zinger, S., and de With, P. H. N., Fast semantic region analysis for surveillance & video databases, in IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 2017. (352.54 KB)
W. P. Sanberg, Dubbelman, G., and de With, P. H. N., Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks, in IS&T Electronic Imaging - Autonomous Vehicles and Machines (EI-AVM), Burlingame, USA, 2017. (2.36 MB)
A. Rikos, van der Sommen, F., Swager, A. -fré, Zinger, S., Schoon, E. J., Curvers, W. L., Bergman, J. J. G. H. M., and de With, P. H. N., Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy scans using Multiple-Frame Voting, in Proc. IEEE int'l conf. Computer-Based Medical Systems (CBMS), Thessaloniki, Greece, 2017.
D. W. J. M. van de Wouw, Pieck, M. A. R., Dubbelman, G., and de With, P. H. N., Real-time estimation of the 3D transformation between images with large viewpoint differences in cluttered environments, in Electronic Imaging 2017, San Francisco, 2017. (7.62 MB)
A. Ghahremani, Self-learning framework with temporal filtering for robust maritime vessel detection, in RFMI, 2017. (7.27 MB)
M. H. Zwemer, Brouwers, G. M. Y. E., Wijnhoven, R. G. J., and de With, P. H. N., Semi-automatic Training of a Vehicle Make and Model Recognition System, in Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II, Cham: Springer International Publishing, 2017, pp. 321–332. (7.09 MB)
P. P. J. H. Langenhuizen, Zeng, Y., Zinger, S., Verheul, H. B., Leenstra, S., and de With, P. H. N., Treatment delineation impact on Gamma Knife radiosurgical response of vestibular schwannoma, in 2017 Symposium on Information Theory and Signal Processing in the Benelux, Delft, 2017.
A. Ghahremani, Bondarev, E., and de With, P. H. N., Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features, in IS&T Electronic Imaging - Algorithms and Systems, 2017. (9.89 MB)