722 citations · 1.1k across the 3 of their papers we have counts for
3 papers
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Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov +4
We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tries…
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu, Ryan Kiros, Richard Zemel +4
Books are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is thinking, feeling and h…
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov +1
In this paper, we propose an approach that exploits object segmentation in order to improve the accuracy of object detection. We frame the problem as inference in a Markov Random F…