150 citations · 832 across the 25 of their papers we have counts for
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cs.CV2018
Hierarchical Video Understanding
Farzaneh Mahdisoltani, Roland Memisevic, David Fleet
We introduce a hierarchical architecture for video understanding that exploits the structure of real world actions by capturing targets at different levels of granularity. We desig…
cs.CV2018★ 48 cited
On the effectiveness of task granularity for transfer learning
Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh +2
We describe a DNN for video classification and captioning, trained end-to-end, with shared features, to solve tasks at different levels of granularity, exploring the link between g…