most citedThe Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs

31 citations · 112 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV201717 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.CV201716 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.CV20171 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.CV201729 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…

cs.CV201718 cited

Care about you: towards large-scale human-centric visual relationship detection

Bohan Zhuang, Qi Wu, Chunhua Shen +2

Visual relationship detection aims to capture interactions between pairs of objects in images. Relationships between objects and humans represent a particularly important subset of…