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European Machine Vision Forum
Image Processing Algorithms – from low level to deep learning
Welcome and introduction
[Herrmann, Jochem]
Welcome and introduction
[Jähne, Bernd]
Time-causal and time-recursive receptive fields for invariance and covariance under natural image transformations
[Lindeberg, Tony]
Unsupervised detection of line segments, curves and vanishing points
[Morel, Jean-Michel]
Unsupervised detection of line segments, curves and vanishing points
[Grompone, Rafael]
Visual tracking – the transition from hand-crafted features to deep features
[Felsberg, Michael]
Spline-based models for image segmentation
[Uhlmann, Virginie]
Multicuts – an optimal way to turn superpixels into regions
[Köthe, Ullrich]
Direct methods for camera localisation and 3-D reconstruction
[Kerl, Christian]
Reconstruction via detection: highly accurate reconstruction from unorganized 3-D scans
[Birdal, Tolga]
Image compression with diffusion-based inpainting
[Weickert, Joachim]
Performance evaluation in computer vision
[Honauer, Katrin]
SPLeaP: Soft Pooling of Learned Parts for image classification
[Jurie, Frédéric]
End2end learning of CNNs and CRFs with application to stereo
[Pock, Thomas]
Compositional visual learning and retrieval
[Ommer, Björn]