29 citations · 42 across the 2 of their papers we have counts for
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cs.CV2016★ 13 cited
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Basura Fernando +3
Action recognition and anticipation are key to the success of many computer vision applications. Existing methods can roughly be grouped into those that extract global, context-awa…
cs.CV2016★ 29 cited
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann +3
Pixel-level annotations are expensive and time consuming to obtain. Hence, weak supervision using only image tags could have a significant impact in semantic segmentation. Recently…