103 citations · 142 across the 24 of their papers we have counts for
6 papers · 1 filter
Towards Unifying Reference Expression Generation and Comprehension
Duo Zheng, Tao Kong, Ya Jing +2
Reference Expression Generation (REG) and Comprehension (REC) are two highly correlated tasks. Modeling REG and REC simultaneously for utilizing the relation between them is a prom…
GR-GAN: Gradual Refinement Text-to-image Generation
Bo Yang, Fangxiang Feng, Xiaojie Wang
A good Text-to-Image model should not only generate high quality images, but also ensure the consistency between the text and the generated image. Previous models failed to simulta…
Question-Driven Graph Fusion Network For Visual Question Answering
Yuxi Qian, Yuncong Hu, Ruonan Wang +2
Existing Visual Question Answering (VQA) models have explored various visual relationships between objects in the image to answer complex questions, which inevitably introduces irr…
Co-VQA : Answering by Interactive Sub Question Sequence
Ruonan Wang, Yuxi Qian, Fangxiang Feng +2
Most existing approaches to Visual Question Answering (VQA) answer questions directly, however, people usually decompose a complex question into a sequence of simple sub questions…
A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots
Sai Zhang, Yuwei Hu, Yuchuan Wu +5
A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names. It is a co…
Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene
Duo Zheng, Fandong Meng, Qingyi Si +5
Visual dialog has witnessed great progress after introducing various vision-oriented goals into the conversation, especially such as GuessWhich and GuessWhat, where the only image…