242 citations · 1.1k across the 24 of their papers we have counts for
3 papers · 1 filter
Grounding Visual Explanations (Extended Abstract)
Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell +1
Existing models which generate textual explanations enforce task relevance through a discriminative term loss function, but such mechanisms only weakly constrain mentioned object p…
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He +2
Most methods for object instance segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate new categories an…
Learning to Reason: End-to-End Module Networks for Visual Question Answering
Ronghang Hu, Jacob Andreas, Marcus Rohrbach +2
Natural language questions are inherently compositional, and many are most easily answered by reasoning about their decomposition into modular sub-problems. For example, to answer…