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LIUM-CVC Submissions for WMT17 Multimodal Translation Task

This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation. We mainly explored two multimodal architectures where either global visual features or …

Does Multimodality Help Human and Machine for Translation and Image Captioning?

This paper presents the systems developed by LIUM and CVC for the WMT16 Multimodal Machine Translation challenge. We explored various comparative methods, namely phrase-based systems and attentional recurrent neural networks models trained using …

Humanoid Robot Control with SSVEP on Embedded System

In this study we implemented a low-cost, single EEG channel brain computer interface (BCI) running on an embedded computer. The BCI uses steady-state visual evoked potentials (SSVEP) to control the motion of the Kondo KHR-3HV humanoid robot. The …