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Machine Vision
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Vision
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journal:(Machine Vision and Applications)
Getting to know low-light images with the Exclusively Dark dataset
Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks
Unsupervised learning from videos using temporal coherency deep networks
Fitting line projections in non-central catadioptric cameras with revolution symmetry
Structured deep hashing with convolutional neural networks for fast person re-identification
Generic spatial-color metric for scale-space processing of catadioptric images
Generic spatial-color metric for scale-space processing of catadioptric images
Sparse weakly supervised models for object localization in road environment
Sparse weakly supervised models for object localization in road environment
Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data
Exploiting deep residual networks for human action recognition from skeletal data
Optimized sampling for view interpolation in light fields using local dictionaries