Search Results for author: Atousa Torabi

Found 6 papers, 2 papers with code

Action Classification and Highlighting in Videos

no code implementations31 Aug 2017 Atousa Torabi, Leonid Sigal

Inspired by recent advances in neural machine translation, that jointly align and translate using encoder-decoder networks equipped with attention, we propose an attentionbased LSTM model for human activity recognition.

Action Classification Classification +4

Learning Language-Visual Embedding for Movie Understanding with Natural-Language

no code implementations26 Sep 2016 Atousa Torabi, Niket Tandon, Leonid Sigal

We evaluate our models on large scale LSMDC16 movie dataset for two tasks: 1) Standard Ranking for video annotation and retrieval 2) Our proposed movie multiple-choice test.

Multiple-choice Retrieval +2

Movie Description

no code implementations12 May 2016 Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher Pal, Hugo Larochelle, Aaron Courville, Bernt Schiele

In addition we also collected and aligned movie scripts used in prior work and compare the two sources of descriptions.


Describing Videos by Exploiting Temporal Structure

5 code implementations ICCV 2015 Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron Courville

In this context, we propose an approach that successfully takes into account both the local and global temporal structure of videos to produce descriptions.

Action Recognition Temporal Action Localization +1

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