215 citations · 531 across the 19 of their papers we have counts for
4 papers · 1 filter
Guiding Visual Question Generation
Nihir Vedd, Zixu Wang, Marek Rei +2
In traditional Visual Question Generation (VQG), most images have multiple concepts (e.g. objects and categories) for which a question could be generated, but models are trained to…
Cross-Modal Generative Augmentation for Visual Question Answering
Zixu Wang, Yishu Miao, Lucia Specia
Data augmentation has been shown to effectively improve the performance of multimodal machine learning models. This paper introduces a generative model for data augmentation by lev…
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
Julia Ive, Andy Mingren Li, Yishu Miao +3
This paper addresses the problem of simultaneous machine translation (SiMT) by exploring two main concepts: (a) adaptive policies to learn a good trade-off between high translation…
Latent Variable Models for Visual Question Answering
Zixu Wang, Yishu Miao, Lucia Specia
Current work on Visual Question Answering (VQA) explore deterministic approaches conditioned on various types of image and question features. We posit that, in addition to image an…