8 citations · 9 across the 7 of their papers we have counts for
7 papers
Preserving background sound in noise-robust voice conversion via multi-task learning
Jixun Yao, Yi Lei, Qing Wang +6
Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios. However, prior research…
ClothFormer:Taming Video Virtual Try-on in All Module
Jianbin Jiang, Tan Wang, He Yan +1
The task of video virtual try-on aims to fit the target clothes to a person in the video with spatio-temporal consistency. Despite tremendous progress of image virtual try-on, they…
Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution
Haiming Yu, Hao Zhu, Xiangju Lu +1
Existing face swap methods rely heavily on large-scale networks for adequate capacity to generate visually plausible results, which inhibits its applications on resource-constraint…
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
Yueran Bai, Yingying Wang, Yunhai Tong +3
Temporal action proposal generation plays an important role in video action understanding, which requires localizing high-quality action content precisely. However, generating temp…
Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization
Zhang Qian, Wang Bo, Wen Wei +2
Automatic animation line art colorization is a challenging computer vision problem, since the information of the line art is highly sparse and abstracted and there exists a strict…
Cross-modal supervised learning for better acoustic representations
Shaoyong Jia, Xin Shu, Yang Yang +3
Obtaining large-scale human-labeled datasets to train acoustic representation models is a very challenging task. On the contrary, we can easily collect data with machine-generated…