Search Results for author: Xintian Wu

Found 6 papers, 1 papers with code

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation

no code implementations28 Sep 2022 Xintian Wu, Hanbin Zhao, Liangli Zheng, Shouhong Ding, Xi Li

Existing methods mainly extract the text information from only one sentence to represent an image and the text representation effects the quality of the generated image well.

Attribute Sentence +1

F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks

no code implementations12 May 2022 Xintian Wu, Qihang Zhang, Yiming Wu, Huanyu Wang, Songyuan Li, Lingyun Sun, Xi Li

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.

D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation

no code implementations12 May 2022 Xintian Wu, Huanyu Wang, Yiming Wu, Xi Li

To transfer knowledge between discriminators, we design a multi-level discriminant knowledge distillation from the source discriminator to the target discriminator on both the real and fake samples.

Image Generation Knowledge Distillation +1

MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification

1 code implementation12 Oct 2021 Yiming Wu, Xintian Wu, Xi Li, Jian Tian

As a challenging task, unsupervised person ReID aims to match the same identity with query images which does not require any labeled information.

Unsupervised Person Re-Identification

Extend the FFmpeg Framework to Analyze Media Content

no code implementations5 Mar 2021 Xintian Wu, Pengfei Qu, Shaofei Wang, Lin Xie, Jie Dong

This paper introduces a new set of video analytics plugins developed for the FFmpeg framework.

Semantic Neighborhood-Aware Deep Facial Expression Recognition

no code implementations27 Apr 2020 Yongjian Fu, Xintian Wu, Xi Li, Zhijie Pan, Daxin Luo

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 limited in a small scale.

Facial Expression Recognition Facial Expression Recognition (FER)

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