no code implementations • 29 Aug 2023 • Yun Liao, Yide Di, Hao Zhou, Kaijun Zhu, Mingyu Lu, Yijia Zhang, Qing Duan, Junhui Liu
Local feature matching remains a challenging task, primarily due to difficulties in matching sparse keypoints and low-texture regions.
no code implementations • 6 Nov 2022 • Jixun Yao, Yi Lei, Qing Wang, Pengcheng Guo, Ziqian Ning, Lei Xie, Hai Li, Junhui Liu, Danming Xie
Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios.
1 code implementation • 26 Apr 2022 • Jianbin Jiang, Tan Wang, He Yan, Junhui Liu
Moreover, there are two other key challenges: 1) how to generate accurate warping when occlusions appear in the clothing region; 2) how to generate clothes and non-target body parts (e. g. arms, neck) in harmony with the complicated background; To address them, we propose a novel video virtual try-on framework, ClothFormer, which successfully synthesizes realistic, harmonious, and spatio-temporal consistent results in complicated environment.
1 code implementation • 13 Apr 2022 • Haiming Yu, Hao Zhu, Xiangju Lu, Junhui Liu
In this work, we propose MobileFSGAN, a novel lightweight GAN for face swap that can run on mobile devices with much fewer parameters while achieving competitive performance.
no code implementations • CVPR 2022 • Jianbin Jiang, Tan Wang, He Yan, Junhui Liu
Moreover, there are two other key challenges: 1) how to generate accurate warping when occlusions appear in the clothing region; 2) how to generate clothes and non-target body parts (e. g. arms, neck) in harmony with the complicated background; To address them, we propose a novel video virtual try-on framework, ClothFormer, which successfully synthesizes realistic, harmonious, and spatio-temporal consistent results in complicated environment.
no code implementations • ECCV 2020 • Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu
To address this issue, we propose a novel Boundary Content Graph Neural Network (BC-GNN) to model the insightful relations between the boundary and action content of temporal proposals by the graph neural networks.
Ranked #25 on Temporal Action Localization on ActivityNet-1.3
no code implementations • 15 Nov 2019 • Shaoyong Jia, Xin Shu, Yang Yang, Dawei Liang, Qiyue Liu, Junhui Liu
On the contrary, we can easily collect data with machine-generated labels.
1 code implementation • WS 2019 • Yuzhong Hong, Xianguo Yu, Neng He, Nan Liu, Junhui Liu
We propose a Chinese spell checker {--} FASPell based on a new paradigm which consists of a denoising autoencoder (DAE) and a decoder.
no code implementations • 24 Oct 2019 • Haiming Yu, Yin Fan, Keyu Chen, He Yan, Xiangju Lu, Junhui Liu, Danming Xie
By this means, the discriminativeness of the face representations can be enhanced.
1 code implementation • 31 Jul 2019 • Yi Zheng, Yifan Zhao, Mengyuan Ren, He Yan, Xiangju Lu, Junhui Liu, Jia Li
Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications.