Zobrazeno 1 - 10
of 468
pro vyhledávání: '"CHEN, Jialei"'
Autor:
Chen, Jialei, Zhang, Xin, Islam, Mobarakol, Vasconcelos, Francisco, Stoyanov, Danail, Elson, Daniel S., Huang, Baoru
Accurate 3D reconstruction of dynamic surgical scenes from endoscopic video is essential for robotic-assisted surgery. While recent 3D Gaussian Splatting methods have shown promise in achieving high-quality reconstructions with fast rendering speeds,
Externí odkaz:
http://arxiv.org/abs/2410.09292
Zero-shot Panoptic Segmentation (ZPS) aims to recognize foreground instances and background stuff without images containing unseen categories in training. Due to the visual data sparsity and the difficulty of generalizing from seen to unseen categori
Externí odkaz:
http://arxiv.org/abs/2402.13697
Generalized Zero-shot Semantic Segmentation aims to segment both seen and unseen categories only under the supervision of the seen ones. To tackle this, existing methods adopt the large-scale Vision Language Models (VLMs) which obtain outstanding zer
Externí odkaz:
http://arxiv.org/abs/2310.02296
Data analysis usually suffers from the Missing Not At Random (MNAR) problem, where the cause of the value missing is not fully observed. Compared to the naive Missing Completely At Random (MCAR) problem, it is more in line with the realistic scenario
Externí odkaz:
http://arxiv.org/abs/2308.08158
We present Project Florida, a system architecture and software development kit (SDK) enabling deployment of large-scale Federated Learning (FL) solutions across a heterogeneous device ecosystem. Federated learning is an approach to machine learning b
Externí odkaz:
http://arxiv.org/abs/2307.11899
Autor:
Xu, Yongjun, Chen, Jialei
In this paper, we mainly focus on a new type quantum group $U_{q}(\mathfrak{sl}^{*}_2)$ and its Hopf PBW-deformations $U_{q}(\mathfrak{sl}^{*}_2,\kappa)$ in which $U_{q}(\mathfrak{sl}^{*}_2,0) = U_{q}(\mathfrak{sl}^{*}_2)$ and the classical Drinfeld-
Externí odkaz:
http://arxiv.org/abs/2305.00819
Autor:
Manoel, Andre, Garcia, Mirian Hipolito, Baumel, Tal, Su, Shize, Chen, Jialei, Miller, Dan, Karmon, Danny, Sim, Robert, Dimitriadis, Dimitrios
Federated Learning (FL) is a novel machine learning approach that allows the model trainer to access more data samples, by training the model across multiple decentralized data sources, while data access constraints are in place. Such trained models
Externí odkaz:
http://arxiv.org/abs/2211.09722
Autor:
Hou, Jiawen, Guan, Xiwen, Xia, Xiaoting, Lyu, Yang, Liu, Xin, Mazei, Yuri, Xie, Ping, Chang, Fengqin, Zhang, Xiaonan, Chen, Jialei, Li, Xinyi, Zhang, Fengwei, Jin, Liangliang, Luo, Xiaoyu, Sinding, Mikkel-Holger S., Sun, Xin, Achilli, Alessandro, Migliore, Nicola Rambaldi, Zhang, Dongju, Lenstra, Johannes A., Han, Jianlin, Fu, Qiaomei, Liu, Xinyi, Zhang, Xiaoming, Chen, Ningbo, Lei, Chuzhao, Zhang, Hucai
Publikováno v:
In Science Bulletin 15 November 2024 69(21):3425-3433
Autor:
Han, Shunshun *, Yu, Chunlin *, Qiu, Mohan *, Xiong, Xia *, Peng, Han *, Song, Xiaoyan *, Hu, Chenming *, Zhang, Zengrong *, Xia, Bo *, Yang, Li *, Chen, Jialei *, Zhu, Shiliang *, Li, Wen *, Yang, Chaowu *
Publikováno v:
In Poultry Science November 2024 103(11)