Zobrazeno 1 - 10
of 44 062
pro vyhledávání: '"Yuqi An"'
Autor:
Mingli Wu, Lulu Chen, Yamin Wang, Yunpeng Li, Yuqi An, Ruonan Wu, Yuhan Zhang, Jing Gao, Kaiqi Su, Xiaodong Feng
Publikováno v:
JMIR Research Protocols, Vol 13, p e56484 (2024)
BackgroundVascular cognitive impairment (VCI) persistently impairs cognition and the ability to perform activities of daily living, seriously compromising patients’ quality of life. Previous studies have reported that disorders of serum iron metabo
Externí odkaz:
https://doaj.org/article/cbf3ee4d4c64437b9784e50729336eb4
Autor:
Du, Yifan, Huo, Yuqi, Zhou, Kun, Zhao, Zijia, Lu, Haoyu, Huang, Han, Zhao, Wayne Xin, Wang, Bingning, Chen, Weipeng, Wen, Ji-Rong
Video Multimodal Large Language Models (MLLMs) have shown remarkable capability of understanding the video semantics on various downstream tasks. Despite the advancements, there is still a lack of systematic research on visual context representation,
Externí odkaz:
http://arxiv.org/abs/2410.13694
Autor:
Zhou, Xiaoye, Liu, Yuqi, Tang, Benrui, Wang, Junyuan, Dong, Haikuan, Xiu, Xiaoming, Chen, Shunda, Fan, Zheyong
First-principles molecular dynamics simulations of heat transport in systems with large-scale structural features are challenging due to their high computational cost. Here, using polycrystalline graphene as a case study, we demonstrate the feasibili
Externí odkaz:
http://arxiv.org/abs/2410.13535
Diffusion-based Low-Light Image Enhancement (LLIE) has demonstrated significant success in improving the visibility of low-light images. However, the substantial computational burden introduced by the iterative sampling process remains a major concer
Externí odkaz:
http://arxiv.org/abs/2410.12346
Humanoid robots, with their human-like embodiment, have the potential to integrate seamlessly into human environments. Critical to their coexistence and cooperation with humans is the ability to understand natural language communications and exhibit
Externí odkaz:
http://arxiv.org/abs/2410.12773
Autor:
Li, Jinhan, Zhu, Yifeng, Xie, Yuqi, Jiang, Zhenyu, Seo, Mingyo, Pavlakos, Georgios, Zhu, Yuke
We study the problem of teaching humanoid robots manipulation skills by imitating from single video demonstrations. We introduce OKAMI, a method that generates a manipulation plan from a single RGB-D video and derives a policy for execution. At the h
Externí odkaz:
http://arxiv.org/abs/2410.11792
Autor:
Su, Yuqi, Fang, Xiaolei
Industrial prognostics aims to develop data-driven methods that leverage high-dimensional degradation signals from assets to predict their failure times. The success of these models largely depends on the availability of substantial historical data f
Externí odkaz:
http://arxiv.org/abs/2410.11101
Autor:
Wang, Yuqi, Cheng, Ke, He, Jiawei, Wang, Qitai, Dai, Hengchen, Chen, Yuntao, Xia, Fei, Zhang, Zhaoxiang
Driving world models have gained increasing attention due to their ability to model complex physical dynamics. However, their superb modeling capability is yet to be fully unleashed due to the limited video diversity in current driving datasets. We i
Externí odkaz:
http://arxiv.org/abs/2410.10738
Autor:
Xu, Chen, Huang, Qiming, Hou, Yuqi, Wu, Jiangxing, Zhang, Fan, Chang, Hyung Jin, Jiao, Jianbo
Medical image segmentation poses challenges due to domain gaps, data modality variations, and dependency on domain knowledge or experts, especially for low- and middle-income countries (LMICs). Whereas for humans, given a few exemplars (with correspo
Externí odkaz:
http://arxiv.org/abs/2410.09254
Autor:
Li, Yadong, Sun, Haoze, Lin, Mingan, Li, Tianpeng, Dong, Guosheng, Zhang, Tao, Ding, Bowen, Song, Wei, Cheng, Zhenglin, Huo, Yuqi, Chen, Song, Li, Xu, Pan, Da, Zhang, Shusen, Wu, Xin, Liang, Zheng, Liu, Jun, Lu, Keer, Zhao, Yaqi, Shen, Yanjun, Yang, Fan, Yu, Kaicheng, Lin, Tao, Xu, Jianhua, Zhou, Zenan, Chen, Weipeng
The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpart. In this paper, we introduce Baichuan-Omni, the first open-source 7
Externí odkaz:
http://arxiv.org/abs/2410.08565