Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jin, Daisheng"'
Autor:
Zhang, Mingyuan, Jin, Daisheng, Gu, Chenyang, Hong, Fangzhou, Cai, Zhongang, Huang, Jingfang, Zhang, Chongzhi, Guo, Xinying, Yang, Lei, He, Ying, Liu, Ziwei
Human motion generation, a cornerstone technique in animation and video production, has widespread applications in various tasks like text-to-motion and music-to-dance. Previous works focus on developing specialist models tailored for each task witho
Externí odkaz:
http://arxiv.org/abs/2404.01284
This paper presents a novel two-stage approach for reconstructing human faces from sparse-view images, a task made challenging by the unique geometry and complex skin reflectance of each individual. Our method focuses on decomposing key facial attrib
Externí odkaz:
http://arxiv.org/abs/2312.06085
Autor:
Zhang, Chongzhi, Zhang, Mingyuan, Zhang, Shanghang, Jin, Daisheng, Zhou, Qiang, Cai, Zhongang, Zhao, Haiyu, Liu, Xianglong, Liu, Ziwei
Vision Transformers (ViTs) have achieved impressive performance on various vision tasks, yet their generalization under distribution shifts (DS) is rarely understood. In this work, we comprehensively study the out-of-distribution (OOD) generalization
Externí odkaz:
http://arxiv.org/abs/2106.07617
Autor:
Jin, Daisheng, Ma, Xiao, Zhang, Chongzhi, Zhou, Yizhuo, Tao, Jiashu, Zhang, Mingyuan, Zhao, Haiyu, Yi, Shuai, Li, Zhoujun, Liu, Xianglong, Li, Hongsheng
In this paper, we investigate the cause of the high false positive rate in Visual Relationship Detection (VRD). We observe that during training, the relationship proposal distribution is highly imbalanced: most of the negative relationship proposals
Externí odkaz:
http://arxiv.org/abs/2012.12510