26 citations · 91 across the 13 of their papers we have counts for
16 papers
Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
Haomiao Ni, Yihao Liu, Sharon X. Huang +1
In this paper, we propose a novel dual-branch Transformation-Synthesis network (TS-Net), for video motion retargeting. Given one subject video and one driving video, TS-Net can pro…
Disentangling A Single MR Modality
Lianrui Zuo, Yihao Liu, Yuan Xue +5
Disentangling anatomical and contrast information from medical images has gained attention recently, demonstrating benefits for various image analysis tasks. Current methods learn…
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds
Wenlong Zhang, Guangyuan Shi, Yihao Liu +2
Degradation models play an important role in Blind super-resolution (SR). The classical degradation model, which mainly involves blur degradation, is too simple to simulate real-wo…
Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan +4
Video colorization is a challenging and highly ill-posed problem. Although recent years have witnessed remarkable progress in single image colorization, there is relatively less re…
Learn to Match: Automatic Matching Network Design for Visual Tracking
Zhipeng Zhang, Yihao Liu, Xiao Wang +2
Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remar…
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank
Wenlong Zhang, Yihao Liu, Chao Dong +1
Generative Adversarial Networks (GAN) have demonstrated the potential to recover realistic details for single image super-resolution (SISR). To further improve the visual quality o…