Zobrazeno 1 - 10
of 601
pro vyhledávání: '"Lin, Jianxin"'
Autor:
Ma, Tengfei, song, Xiang, Tao, Wen, Li, Mufei, Zhang, Jiani, Pan, Xiaoqin, Lin, Jianxin, Song, Bosheng, Zeng, xiangxiang
Knowledge graph completion (KGC) aims to alleviate the inherent incompleteness of knowledge graphs (KGs), which is a critical task for various applications, such as recommendations on the web. Although knowledge graph embedding (KGE) models have demo
Externí odkaz:
http://arxiv.org/abs/2404.03893
Autor:
Zhou, Peng, Wang, Jianmin, Li, Chunyan, Wang, Zixu, Liu, Yiping, Sun, Siqi, Lin, Jianxin, Wang, Longyue, Zeng, Xiangxiang
While various models and computational tools have been proposed for structure and property analysis of molecules, generating molecules that conform to all desired structures and properties remains a challenge. Here, we introduce a multi-constraint mo
Externí odkaz:
http://arxiv.org/abs/2403.13244
The creation of lifelike speech-driven 3D facial animation requires a natural and precise synchronization between audio input and facial expressions. However, existing works still fail to render shapes with flexible head poses and natural facial deta
Externí odkaz:
http://arxiv.org/abs/2310.20240
Multi-modal keyphrase generation aims to produce a set of keyphrases that represent the core points of the input text-image pair. In this regard, dominant methods mainly focus on multi-modal fusion for keyphrase generation. Nevertheless, there are st
Externí odkaz:
http://arxiv.org/abs/2309.04734
Recent data-driven image colorization methods have enabled automatic or reference-based colorization, while still suffering from unsatisfactory and inaccurate object-level color control. To address these issues, we propose a new method called DiffCol
Externí odkaz:
http://arxiv.org/abs/2308.01655
Autor:
Yin, Lianying, Wang, Yijun, He, Tianyu, Liu, Jinming, Zhao, Wei, Li, Bohan, Jin, Xin, Lin, Jianxin
Although previous co-speech gesture generation methods are able to synthesize motions in line with speech content, it is still not enough to handle diverse and complicated motion distribution. The key challenges are: 1) the one-to-many nature between
Externí odkaz:
http://arxiv.org/abs/2306.11496
As a recent noticeable topic, domain generalization aims to learn a generalizable model on multiple source domains, which is expected to perform well on unseen test domains. Great efforts have been made to learn domain-invariant features by aligning
Externí odkaz:
http://arxiv.org/abs/2210.04155
Domain generalization (DG) aims to learn a model on several source domains, hoping that the model can generalize well to unseen target domains. The distribution shift between domains contains the covariate shift and conditional shift, both of which t
Externí odkaz:
http://arxiv.org/abs/2209.08253
Autor:
Peng, Xuanbei, Luo, Yongjin, Zhang, Tianhua, Deng, Jinxiu, Zhou, Yanliang, Li, Jiaxin, Ni, Jun, Lin, Bingyu, Lin, Jianxin, Wu, Dongshuang, Zheng, Lirong, Wang, Xiuyun, Jiang, Lilong
Publikováno v:
In Chemical Engineering Science 15 June 2024 292
Autor:
Svačina, Martin K.R., Gao, Tong, Sprenger-Svačina, Alina, Lin, Jianxin, Ganesh, Bhanu P., Lee, Juneyoung, McCullough, Louise D., Sheikh, Kazim A., Zhang, Gang
Publikováno v:
In Experimental Neurology June 2024 376