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2 Result(s)
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Chapter and Conference Paper
Region-Based Semantic Segmentation with End-to-End Training
We propose a novel method for semantic segmentation, the task of labeling each pixel in an image with a semantic class. Our method combines the advantages of the two main competing paradigms. Methods based on ...
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Chapter and Conference Paper
Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation
In this work we propose an efficient method for activity recognition in a daily living scenario. At feature level, we propose a method to extract and combine low- and high-level information and we show that th...
