Publications
V
Kandemir, M, Haußmann, M, Diego, F, Rajamani, K, van der Laak, J and Hamprecht, F A (2016).
Variational weakly-supervised Gaussian processes.
BMVC. Proceedings Technical Report (3.28 MB) Haußmann, M, Hamprecht, F A and Kandemir, M (2017).
Variational Bayesian Multiple Instance Learning with Gaussian Processes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 6570-6579
Technical Report (1.29 MB) G
von Borstel, M, Kandemir, M, Schmidt, P, Rao, M, Rajamani, K and Hamprecht, F A (2016).
Gaussian process density counting from weak supervision.
ECCV. Proceedings. Springer.
LNCS 9905 365-380
Technical Report (1.71 MB) E
Kandemir, M, Rubio, J C, Schmidt, U, Wojek, C, Welbl, J, Ommer, B and Hamprecht, F A (2014).
Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures.
Medical Image Computing and Computer-Assisted Intervention. Springer. 154--161
Technical Report (2 MB)