Zobrazeno 1 - 10
of 1 558 936
pro vyhledávání: '"Hao, A."'
Zero-Shot Object Goal Navigation (ZS-OGN) enables robots or agents to navigate toward objects of unseen categories without object-specific training. Traditional approaches often leverage categorical semantic information for navigation guidance, which
Externí odkaz:
http://arxiv.org/abs/2410.23978
Autor:
Wang, Qi, Ren, Pu, Zhou, Hao, Liu, Xin-Yang, Deng, Zhiwen, Zhang, Yi, Chengze, Ruizhi, Liu, Hongsheng, Wang, Zidong, Wang, Jian-Xun, Ji-Rong_Wen, Sun, Hao, Liu, Yang
When solving partial differential equations (PDEs), classical numerical methods often require fine mesh grids and small time stepping to meet stability, consistency, and convergence conditions, leading to high computational cost. Recently, machine le
Externí odkaz:
http://arxiv.org/abs/2411.00040
Autor:
Hao, Duxing, Chang, Wen-Hao, Chang, Yu-Chen, Liu, Wei-Tung, Ho, Sheng-Zhu, Lu, Chen-Hsuan, Yang, Tilo H., Kawakami, Naoya, Chen, Yi-Chun, Liu, Ming-Hao, Lin, Chun-Liang, Lu, Ting-Hua, Lan, Yann-Wen, Yeh, Nai-Chang
In semiconducting monolayer transition metal dichalcogenides (ML-TMDs), broken inversion symmetry and strong spin-orbit coupling result in spin-valley lock-in effects so that the valley degeneracy may be lifted by external magnetic fields, potentiall
Externí odkaz:
http://arxiv.org/abs/2410.20702
Autor:
Liu, Chen, Tao, Shengdan, Wang, Guanyong, Chen, Hongyuan, Xia, Bing, Yang, Hao, Liu, Xiaoxue, Liu, Liang, Li, Yaoyi, Wang, Shiyong, Zheng, Hao, Liu, Canhua, Guan, Dandan, Lu, Yunhao, Jia, Jin-feng
We have investigated the structures and electronic properties of ultra-thin Bi(110) films grown on an s-wave superconductor substrate using low-temperature scanning tunneling microscopy and spectroscopy. Remarkably, our experimental results validate
Externí odkaz:
http://arxiv.org/abs/2410.19369
Autor:
Wen, Congcong, Huang, Yisiyuan, Huang, Hao, Huang, Yanjia, Yuan, Shuaihang, Hao, Yu, Lin, Hui, Liu, Yu-Shen, Fang, Yi
Object navigation is crucial for robots, but traditional methods require substantial training data and cannot be generalized to unknown environments. Zero-shot object navigation (ZSON) aims to address this challenge, allowing robots to interact with
Externí odkaz:
http://arxiv.org/abs/2410.18570
Autor:
Wang, Wen, Wang, Qiuyu, Zheng, Kecheng, Ouyang, Hao, Chen, Zhekai, Gong, Biao, Chen, Hao, Shen, Yujun, Shen, Chunhua
We propose Framer for interactive frame interpolation, which targets producing smoothly transitioning frames between two images as per user creativity. Concretely, besides taking the start and end frames as inputs, our approach supports customizing t
Externí odkaz:
http://arxiv.org/abs/2410.18978
Autor:
He, Hao, Liang, Yixun, Wang, Luozhou, Cai, Yuanhao, Xu, Xinli, Guo, Hao-Xiang, Wen, Xiang, Chen, Yingcong
Recent large reconstruction models have made notable progress in generating high-quality 3D objects from single images. However, these methods often struggle with controllability, as they lack information from multiple views, leading to incomplete or
Externí odkaz:
http://arxiv.org/abs/2410.15636
Autor:
Li, Tian-Ming, Zhang, Jia-Chi, Chen, Bing-Jie, Huang, Kaixuan, Liu, Hao-Tian, Xiao, Yong-Xi, Deng, Cheng-Lin, Liang, Gui-Han, Chen, Chi-Tong, Liu, Yu, Li, Hao, Bao, Zhen-Ting, Zhao, Kui, Xu, Yueshan, Li, Li, He, Yang, Liu, Zheng-He, Yu, Yi-Han, Zhou, Si-Yun, Liu, Yan-Jun, Song, Xiaohui, Zheng, Dongning, Xiang, Zhong-Cheng, Shi, Yun-Hao, Xu, Kai, Fan, Heng
For superconducting quantum processors, stable high-fidelity two-qubit operations depend on precise flux control of the tunable coupler. However, the pulse distortion poses a significant challenge to the control precision. Current calibration methods
Externí odkaz:
http://arxiv.org/abs/2410.15041
Autor:
Fang, Rongyao, Duan, Chengqi, Wang, Kun, Li, Hao, Tian, Hao, Zeng, Xingyu, Zhao, Rui, Dai, Jifeng, Li, Hongsheng, Liu, Xihui
Recent advancements in multimodal foundation models have yielded significant progress in vision-language understanding. Initial attempts have also explored the potential of multimodal large language models (MLLMs) for visual content generation. Howev
Externí odkaz:
http://arxiv.org/abs/2410.13861
Autor:
Zhu, Zichen, Tang, Hao, Li, Yansi, Lan, Kunyao, Jiang, Yixuan, Zhou, Hao, Wang, Yixiao, Zhang, Situo, Sun, Liangtai, Chen, Lu, Yu, Kai
Current mobile assistants are limited by dependence on system APIs or struggle with complex user instructions and diverse interfaces due to restricted comprehension and decision-making abilities. To address these challenges, we propose MobA, a novel
Externí odkaz:
http://arxiv.org/abs/2410.13757