%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Lebret_Idiap-RR-22-2015,
         author = {Lebret, R{\'{e}}mi and Pinheiro, Pedro H. O. and Collobert, Ronan},
       projects = {Idiap},
          month = {6},
          title = {Simple Image Description Generator via a Linear Phrase-based Model},
           type = {Idiap-RR},
         number = {Idiap-RR-22-2015},
           year = {2015},
    institution = {Idiap},
           note = {In the workshop session of the International Conference on Learning Representations},
       abstract = {Generating a novel textual description of an image is an interesting problem that connects computer vision and natural language processing. In this paper, we present a simple model that is able to generate descriptive sentences given a sample image. This model has a strong focus on the syntax of the descriptions. We train a purely bilinear model that learns a metric between an image representation (generated from a previously trained Convolutional Neural Network) and phrases that are used to described them. The system is then able to infer phrases from a given image sample. Based on caption syntax statistics, we propose a simple language model that can produce relevant descriptions for a given test image using the phrases inferred. Our approach, which is considerably simpler than state-of-the- art models, achieves comparable results on the recently release Microsoft COCO dataset.},
            pdf = {https://publications.idiap.ch/attachments/reports/2015/Lebret_Idiap-RR-22-2015.pdf}
}