203 citations · 1.1k across the 46 of their papers we have counts for
4 papers · 1 filter
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas, Li Yao, Chris Pal +1
We propose an approach to learn spatio-temporal features in videos from intermediate visual representations we call "percepts" using Gated-Recurrent-Unit Recurrent Networks (GRUs).…
Oracle performance for visual captioning
Li Yao, Nicolas Ballas, Kyunghyun Cho +2
The task of associating images and videos with a natural language description has attracted a great amount of attention recently. Rapid progress has been made in terms of both deve…
GSNs : Generative Stochastic Networks
Guillaume Alain, Yoshua Bengio, Li Yao +4
We introduce a novel training principle for probabilistic models that is an alternative to maximum likelihood. The proposed Generative Stochastic Networks (GSN) framework is based…
Describing Videos by Exploiting Temporal Structure
Li Yao, Atousa Torabi, Kyunghyun Cho +4
Recent progress in using recurrent neural networks (RNNs) for image description has motivated the exploration of their application for video description. However, while images are…