5 citations · 7 across the 4 of their papers we have counts for
5 papers
DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human
Xiaojing Zhong, Yukun Su, Zhonghua Wu +2
3D virtual try-on enjoys many potential applications and hence has attracted wide attention. However, it remains a challenging task that has not been adequately solved. Existing 2D…
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Dongjian Huo, Yukun Su, Qingyao Wu
Weakly supervised semantic segmentation (WSSS), which aims to mine the object regions by merely using class-level labels, is a challenging task in computer vision. The current stat…
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Yukun Su, Jingliang Deng, Ruizhou Sun +2
Humans tend to mine objects by learning from a group of images or several frames of video since we live in a dynamic world. In the computer vision area, many researches focus on co…
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin +1
Data augmentation is vital for deep learning neural networks. By providing massive training samples, it helps to improve the generalization ability of the model. Weakly supervised…
MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
Ke Zhang, Yukun Su, Xiwang Guo +2
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute…