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20152026
most citedVisual Question Answering: A Survey of Methods and Datasets

44 citations · 279 across the 23 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.CV2017★ 17 cited

Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards

Junjie Zhang, Qi Wu, Chunhua Shen +3

Despite significant progress in a variety of vision-and-language problems, developing a method capable of asking intelligent, goal-oriented questions about images is proven to be a…

cs.CV2017★ 16 cited

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

Qi Wu, Peng Wang, Chunhua Shen +2

The Visual Dialogue task requires an agent to engage in a conversation about an image with a human. It represents an extension of the Visual Question Answering task in that the age…

cs.CV2017

Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement

Junjie Zhang, Qi Wu, Jian Zhang +2

The number of social images has exploded by the wide adoption of social networks, and people like to share their comments about them. These comments can be a description of the ima…

cs.CV2017★ 1 cited

Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries

Bohan Zhuang, Qi Wu, Chunhua Shen +2

Recognising objects according to a pre-defined fixed set of class labels has been well studied in the Computer Vision. There are a great many practical applications where the subje…

cs.CV2017

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Peter Anderson, Qi Wu, Damien Teney +6

A robot that can carry out a natural-language instruction has been a dream since before the Jetsons cartoon series imagined a life of leisure mediated by a fleet of attentive robot…

cs.CV2017★ 29 cited

Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning

Jianpeng Zhang, Yong Xia, Qi Wu +1

The Classification of medical images and illustrations in the literature aims to label a medical image according to the modality it was produced or label an illustration according…