27 citations · 34 across the 4 of their papers we have counts for
5 papers
MV-TON: Memory-based Video Virtual Try-on network
Xiaojing Zhong, Zhonghua Wu, Taizhe Tan +2
With the development of Generative Adversarial Network, image-based virtual try-on methods have made great progress. However, limited work has explored the task of video-based virt…
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu, Xiangxi Shi, Guosheng lin +1
Currently, the state-of-the-art methods treat few-shot semantic segmentation task as a conditional foreground-background segmentation problem, assuming each class is independent. I…
Remember What You have drawn: Semantic Image Manipulation with Memory
Xiangxi Shi, Zhonghua Wu, Guosheng Lin +2
Image manipulation with natural language, which aims to manipulate images with the guidance of language descriptions, has been a challenging problem in the fields of computer visio…
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection
Zhonghua Wu, Qingyi Tao, Guosheng Lin +1
Fully supervised object detection has achieved great success in recent years. However, abundant bounding boxes annotations are needed for training a detector for novel classes. To…
M2E-Try On Net: Fashion from Model to Everyone
Zhonghua Wu, Guosheng Lin, Qingyi Tao +1
Most existing virtual try-on applications require clean clothes images. Instead, we present a novel virtual Try-On network, M2E-Try On Net, which transfers the clothes from a model…