Zobrazeno 1 - 10
of 5 649
pro vyhledávání: '"Yu, Ke"'
Autor:
Li, Yun-Qin, Zhang, Yu-Ke, Lu, Xin-Le, Shao, Ya-Ping, Bao, Zhi-qiang, Zheng, Jun-Ding, Tong, Wen-Yi, Duan, Chun-Gang
As an emerging magnetic phase, altermagnets with compensated magnetic order and non-relativistic spin-splitting have attracted widespread attention. Currently, strain engineering is considered to be an effective method for inducing valley polarizatio
Externí odkaz:
http://arxiv.org/abs/2410.03155
Autor:
Zhou, Xinping, Tang, Zehao, Qu, Zhining, Yu, Ke, Zhou, Chengrui, Xiang, Yuqi, Ibrahim, Ahmed Ahmed, Shen, Yuandeng
Large-scale extreme-ultraviolet (EUV) waves commonly exhibit as single wavefront and are believed to be caused by coronal mass ejections (CMEs). Utilizing high spatiotemporal resolution imaging observations from the Solar Dynamics Observatory, we pre
Externí odkaz:
http://arxiv.org/abs/2409.17741
Autor:
Zhang, Yi, Cheng, Chun-Wun, Yu, Ke, He, Zhihai, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I.
In this paper, we consider the problem of prototype-based vision-language reasoning problem. We observe that existing methods encounter three major challenges: 1) escalating resource demands and prolonging training times, 2) contending with excessive
Externí odkaz:
http://arxiv.org/abs/2407.08672
Autor:
Tan, Zhen-Yu, Chen, Ji-Pei, Shi, Yu-Ke, Chen, Yuan, Qin, Ming-Hui, Gao, Xing-Sen, Liu, Jun-Ming
Magnetic skyrmions emerge as promising quasi-particles for encoding information in nextgeneration spintronic devices. Their innate flexibility in shape is essential for the applications although they were often ideally treated as rigid particles. In
Externí odkaz:
http://arxiv.org/abs/2407.07418
In this paper, we propose Conceptual Codebook Learning (CoCoLe), a novel fine-tuning method for vision-language models (VLMs) to address the challenge of improving the generalization capability of VLMs while fine-tuning them on downstream tasks in a
Externí odkaz:
http://arxiv.org/abs/2407.02350
The interference-free double potential wells realized by the two-photon driving Kerr nonlinear resonator (KNR) can stabilize cat states and protect them from decoherence through a large energy gap. In this work, we use a parametrically driving KNR to
Externí odkaz:
http://arxiv.org/abs/2406.13390
Autor:
Zhou, Xinping, Shen, Yuandeng, Yan, Yihua, Yu, Ke, Qu, Zhining, Ibrahim, Ahmed Ahmed, Tang, Zehao, Zhou, Chengrui, Tan, Song, Qiu, Ye, Liang, Hongfei
This paper presents three distinct wave trains that occurred on 2023 April 21: a broad quasi-periodic fast-propagating (QFP) wave train and a bi-directional narrow QFP wave train. The broad QFP wave train expands outward in a circular wavefront, whil
Externí odkaz:
http://arxiv.org/abs/2404.18391
Pre-trained Vision-Language Models (VLMs), such as CLIP, have shown enhanced performance across a range of tasks that involve the integration of visual and linguistic modalities. When CLIP is used for depth estimation tasks, the patches, divided from
Externí odkaz:
http://arxiv.org/abs/2311.01034
Autor:
Yu, Ke, Albro, Stephen, DeSalvo, Giulia, Kothawade, Suraj, Rashwan, Abdullah, Tavakkol, Sasan, Batmanghelich, Kayhan, Yin, Xiaoqi
Training high-quality instance segmentation models requires an abundance of labeled images with instance masks and classifications, which is often expensive to procure. Active learning addresses this challenge by striving for optimum performance with
Externí odkaz:
http://arxiv.org/abs/2309.16139