Zobrazeno 1 - 10
of 274
pro vyhledávání: '"Xing, Sen"'
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
Autor:
Wu, Jiannan, Zhong, Muyan, Xing, Sen, Lai, Zeqiang, Liu, Zhaoyang, Wang, Wenhai, Chen, Zhe, Zhu, Xizhou, Lu, Lewei, Lu, Tong, Luo, Ping, Qiao, Yu, Dai, Jifeng
We present VisionLLM v2, an end-to-end generalist multimodal large model (MLLM) that unifies visual perception, understanding, and generation within a single framework. Unlike traditional MLLMs limited to text output, VisionLLM v2 significantly broad
Externí odkaz:
http://arxiv.org/abs/2406.08394
Autor:
Chen, Zhe, Wu, Jiannan, Wang, Wenhai, Su, Weijie, Chen, Guo, Xing, Sen, Zhong, Muyan, Zhang, Qinglong, Zhu, Xizhou, Lu, Lewei, Li, Bin, Luo, Ping, Lu, Tong, Qiao, Yu, Dai, Jifeng
The exponential growth of large language models (LLMs) has opened up numerous possibilities for multimodal AGI systems. However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has no
Externí odkaz:
http://arxiv.org/abs/2312.14238
Self-supervised foundation models have shown great potential in computer vision thanks to the pre-training paradigm of masked autoencoding. Scale is a primary factor influencing the performance of these foundation models. However, these large foundat
Externí odkaz:
http://arxiv.org/abs/2311.03149
Autor:
Wang, Yi, Li, Kunchang, Li, Yizhuo, He, Yinan, Huang, Bingkun, Zhao, Zhiyu, Zhang, Hongjie, Xu, Jilan, Liu, Yi, Wang, Zun, Xing, Sen, Chen, Guo, Pan, Junting, Yu, Jiashuo, Wang, Yali, Wang, Limin, Qiao, Yu
The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on image-level pretraining and adpation, which are limited for dynamic a
Externí odkaz:
http://arxiv.org/abs/2212.03191
Autor:
Chen, Guo, Xing, Sen, Chen, Zhe, Wang, Yi, Li, Kunchang, Li, Yizhuo, Liu, Yi, Wang, Jiahao, Zheng, Yin-Dong, Huang, Bingkun, Zhao, Zhiyu, Pan, Junting, Huang, Yifei, Wang, Zun, Yu, Jiashuo, He, Yinan, Zhang, Hongjie, Lu, Tong, Wang, Yali, Wang, Limin, Qiao, Yu
In this report, we present our champion solutions to five tracks at Ego4D challenge. We leverage our developed InternVideo, a video foundation model, for five Ego4D tasks, including Moment Queries, Natural Language Queries, Future Hand Prediction, St
Externí odkaz:
http://arxiv.org/abs/2211.09529
Autor:
Tai‐Ting Sha, Xing‐Chen Zhang, Ru‐Jie Zhou, Guo‐Wei Du, Yu‐An Xiong, Qiang Pan, Jie Yao, Zi‐Jie Feng, Xing‐Sen Gao, Yu‐Meng You
Publikováno v:
Advanced Science, Vol 11, Iss 29, Pp n/a-n/a (2024)
Abstract Over the past years, the application potential of ferroelectric nanomaterials with unique physical properties for modern electronics is highlighted to a large extent. However, it is relatively challenging to fabricate inorganic ferroelectric
Externí odkaz:
https://doaj.org/article/620f851caafc48a1b78ee4d6a078e9a5
Autor:
Si, Hongyu, Wang, Rui, Zhao, Yuqing, Hao, Han, Zhao, Changkai, Xing, Sen, Yu, Hewei, Liang, Xiaohui, Lu, JiKai, Chen, Xiuxiu, Wang, Bing
Publikováno v:
In Journal of Hazardous Materials 5 June 2024 471
We explore the photon transfer in the nonlinear parity-time-symmetry system of two coupled cavities, which contains nonlinear gain and loss dependent on the intracavity photons. Analytical solution to the steady state gives a saturated gain, which sa
Externí odkaz:
http://arxiv.org/abs/2008.02949
Autor:
Chen, Keyu, Xing, Sen, Shi, Hailan, Tang, Yu, Yang, Mingxin, Gu, Qiang, Li, Yaoming, Zhang, Jing, Ji, Baoming
Publikováno v:
In Science of the Total Environment 1 December 2023 902