Zobrazeno 1 - 10
of 1 099
pro vyhledávání: '"Yang, Jiahui"'
Autor:
Shaw, Kenneth, Li, Yulong, Yang, Jiahui, Srirama, Mohan Kumar, Liu, Ray, Xiong, Haoyu, Mendonca, Russell, Pathak, Deepak
To train generalist robot policies, machine learning methods often require a substantial amount of expert human teleoperation data. An ideal robot for humans collecting data is one that closely mimics them: bimanual arms and dexterous hands. However,
Externí odkaz:
http://arxiv.org/abs/2411.13677
Autor:
Yang, Jiahui, Di, Donglin, Ma, Baorui, Yang, Xun, Ma, Yongjia, Sun, Wenzhang, Chen, Wei, Cui, Jianxun, Xue, Zhou, Wang, Meng, Liu, Yebin
In recent years, advancements in generative models have significantly expanded the capabilities of text-to-3D generation. Many approaches rely on Score Distillation Sampling (SDS) technology. However, SDS struggles to accommodate multi-condition inpu
Externí odkaz:
http://arxiv.org/abs/2410.21299
Autor:
Dalal, Murtaza, Yang, Jiahui, Mendonca, Russell, Khaky, Youssef, Salakhutdinov, Ruslan, Pathak, Deepak
The current paradigm for motion planning generates solutions from scratch for every new problem, which consumes significant amounts of time and computational resources. For complex, cluttered scenes, motion planning approaches can often take minutes
Externí odkaz:
http://arxiv.org/abs/2409.05864
Text-to-3D generation represents an exciting field that has seen rapid advancements, facilitating the transformation of textual descriptions into detailed 3D models. However, current progress often neglects the intricate high-order correlation of geo
Externí odkaz:
http://arxiv.org/abs/2403.09236
The goal of Temporal Action Localization (TAL) is to find the categories and temporal boundaries of actions in an untrimmed video. Most TAL methods rely heavily on action recognition models that are sensitive to action labels rather than temporal bou
Externí odkaz:
http://arxiv.org/abs/2309.13810
In this paper, we present a dual-layer online optimization strategy for defender robots operating in multiplayer reach-avoid games within general convex environments. Our goal is to intercept as many attacker robots as possible without prior knowledg
Externí odkaz:
http://arxiv.org/abs/2304.00234
Publikováno v:
PLoS ONE. 11/1/2024, Vol. 19 Issue 11, p1-26. 26p.
Autor:
Gao, Yanchen1 (AUTHOR) gaoyanchen@nwafu.edu.cn, Yang, Jiahui1 (AUTHOR) jiahui.yang@nwafu.edu.cn, Chen, Xiaoyu1 (AUTHOR) chenxiaoyu@nwafu.edu.cn, Wang, Xiangwei1 (AUTHOR) xw.wang@nwafu.edu.cn, Li, Jinbo1 (AUTHOR) jinbo.li@nwafu.edu.cn, Azad, Nasrin1,2 (AUTHOR) n.azad@nwafu.edu.cn, Zvomuya, Francis3 (AUTHOR) francis.zvomuya@umanitoba.ca, He, Hailong1,3 (AUTHOR) hailong.he@hotmail.com
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 20, p3842. 22p.
Publikováno v:
In Analytica Chimica Acta 22 November 2024 1330
Autor:
Xu, Suyun, Deng, Yaling, Li, Caihong, Hu, Youfan, Zhang, Qi, Zhuang, Baojun, Mosongo, Isidore, Jiang, Jiaming, Yang, Jiahui, Hu, Kaifeng
Publikováno v:
In Journal of Ethnopharmacology 15 November 2024 334