no code implementations • 28 Sep 2017 • Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
We propose to address this issue, by formulating multimodal semantic labeling as inference in a CRF and introducing latent nodes to explicitly model inconsistencies between two modalities.
no code implementations • ICCV 2015 • Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
In this paper, we address the problem of data misalignment and label inconsistencies, e. g., due to moving objects, in semantic labeling, which violate the assumption of existing techniques.
no code implementations • CVPR 2016 • Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson
By contrast, nonparametric approaches, which bypass any learning phase and directly transfer the labels from the training data to the query images, can readily exploit new labeled samples as they become available.