3 citations · 3 across the 2 of their papers we have counts for
3 papers
Meta Learning Deep Visual Words for Fast Video Object Segmentation
Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab +1
Personal robots and driverless cars need to be able to operate in novel environments and thus quickly and efficiently learn to recognise new object classes. We address this problem…
Soft Correspondences in Multimodal Scene Parsing
Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann +1
Exploiting multiple modalities for semantic scene parsing has been shown to improve accuracy over the singlemodality scenario. However multimodal datasets often suffer from problem…
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann +1
Scene parsing has attracted a lot of attention in computer vision. While parametric models have proven effective for this task, they cannot easily incorporate new training data. By…