36 citations · 114 across the 6 of their papers we have counts for
6 papers
Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation
Xintian Wu, Hanbin Zhao, Liangli Zheng +2
As a challenging task, text-to-image generation aims to generate photo-realistic and semantically consistent images according to the given text descriptions. Existing methods mainl…
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Xintian Wu, Qihang Zhang, Yiming Wu +4
Formulated as a conditional generation problem, face animation aims at synthesizing continuous face images from a single source image driven by a set of conditional face motion. Pr…
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation
Xintian Wu, Huanyu Wang, Yiming Wu +1
As an important and challenging problem, few-shot image generation aims at generating realistic images through training a GAN model given few samples. A typical solution for few-sh…
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
Yiming Wu, Xintian Wu, Xi Li +1
As a challenging task, unsupervised person ReID aims to match the same identity with query images which does not require any labeled information. In general, most existing approach…
Extend the FFmpeg Framework to Analyze Media Content
Xintian Wu, Pengfei Qu, Shaofei Wang +2
This paper introduces a new set of video analytics plugins developed for the FFmpeg framework. Multimedia applications that increasingly utilize the FFmpeg media features for its c…
Semantic Neighborhood-Aware Deep Facial Expression Recognition
Yongjian Fu, Xintian Wu, Xi Li +2
Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to the output fluctuation…