Work

Translating Videos to Natural Language Using Deep Recurrent Neural Networks

Year: 2015

Type: conference-paper

Abstract: Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, Kate Saenko. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2015.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.3115/v1/n15-1173

Authors: Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, Kate Saenko

Institutions: The University of Texas at Austin, University of Massachusetts Lowell, University of California, Berkeley

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Deutscher Akademischer Austauschdienst, Office of Naval Research

Awards: EAGER: Quantifying and Reducing Data Bias in Object Detection Using Physics-based Image Synthesis, RI: Large: Collaborative Research: Reconstructive recognition: Uniting statistical scene understanding and physics-based visual reasoning, G8876996369