20 citations · 42 across the 12 of their papers we have counts for
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cs.CV2016★ 6 cited
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
Tegan Maharaj, Nicolas Ballas, Anna Rohrbach +2
While deep convolutional neural networks frequently approach or exceed human-level performance at benchmark tasks involving static images, extending this success to moving images i…
cs.CV2016★ 11 cited
Convolutional Residual Memory Networks
Joel Moniz, Christopher Pal
Very deep convolutional neural networks (CNNs) yield state of the art results on a wide variety of visual recognition problems. A number of state of the the art methods for image r…