188 citations · 427 across the 5 of their papers we have counts for
6 papers
Action Classification and Highlighting in Videos
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 LST…
Learning Language-Visual Embedding for Movie Understanding with Natural-Language
Atousa Torabi, Niket Tandon, Leonid Sigal
Learning a joint language-visual embedding has a number of very appealing properties and can result in variety of practical application, including natural language image/video anno…
Movie Description
Anna Rohrbach, Atousa Torabi, Marcus Rohrbach +5
Audio Description (AD) provides linguistic descriptions of movies and allows visually impaired people to follow a movie along with their peers. Such descriptions are by design main…
Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
Atousa Torabi, Christopher Pal, Hugo Larochelle +1
In this work, we introduce a dataset of video annotated with high quality natural language phrases describing the visual content in a given segment of time. Our dataset is based on…
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…
A Bag of Words Approach for Semantic Segmentation of Monitored Scenes
Wassim Bouachir, Atousa Torabi, Guillaume-Alexandre Bilodeau +1
This paper proposes a semantic segmentation method for outdoor scenes captured by a surveillance camera. Our algorithm classifies each perceptually homogenous region as one of the…