Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Chen Zehui"'
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-15 (2024)
Abstract Recycled aggregate (RA), as a backfill subgrade material, has strong reproducibility and environmental protection, which cannot only effectively reduce resource consumption and environmental pollution but also achieve recycling of resources.
Externí odkaz:
https://doaj.org/article/ff07a0d5a9cd40fb999cd96144b090e4
Publikováno v:
Наукові горизонти, Vol 25, Iss 6, Pp 111-120 (2022)
College campuses need the most attention to build. This article is relevant, as the design of green campus buildings is one of the essential forms of the good ecological development concept that can best reflect the sustainable development of univers
Externí odkaz:
https://doaj.org/article/0474d137184a4ccd85879d37398eb802
With the attention gained by camera-only 3D object detection in autonomous driving, methods based on Bird-Eye-View (BEV) representation especially derived from the forward view transformation paradigm, i.e., lift-splat-shoot (LSS), have recently seen
Externí odkaz:
http://arxiv.org/abs/2411.06173
Autor:
Jiang, Dongzhi, Zhang, Renrui, Guo, Ziyu, Wu, Yanmin, Lei, Jiayi, Qiu, Pengshuo, Lu, Pan, Chen, Zehui, Song, Guanglu, Gao, Peng, Liu, Yu, Li, Chunyuan, Li, Hongsheng
The advent of Large Language Models (LLMs) has paved the way for AI search engines, e.g., SearchGPT, showcasing a new paradigm in human-internet interaction. However, most current AI search engines are limited to text-only settings, neglecting the mu
Externí odkaz:
http://arxiv.org/abs/2409.12959
Autor:
Chen, Zehui, Liu, Kuikun, Wang, Qiuchen, Liu, Jiangning, Zhang, Wenwei, Chen, Kai, Zhao, Feng
Information seeking and integration is a complex cognitive task that consumes enormous time and effort. Inspired by the remarkable progress of Large Language Models, recent works attempt to solve this task by combining LLMs and search engines. Howeve
Externí odkaz:
http://arxiv.org/abs/2407.20183
Autor:
Chen, Lin, Wei, Xilin, Li, Jinsong, Dong, Xiaoyi, Zhang, Pan, Zang, Yuhang, Chen, Zehui, Duan, Haodong, Lin, Bin, Tang, Zhenyu, Yuan, Li, Qiao, Yu, Lin, Dahua, Zhao, Feng, Wang, Jiaqi
We present the ShareGPT4Video series, aiming to facilitate the video understanding of large video-language models (LVLMs) and the video generation of text-to-video models (T2VMs) via dense and precise captions. The series comprises: 1) ShareGPT4Video
Externí odkaz:
http://arxiv.org/abs/2406.04325
Autor:
Chen, Lin, Li, Jinsong, Dong, Xiaoyi, Zhang, Pan, Zang, Yuhang, Chen, Zehui, Duan, Haodong, Wang, Jiaqi, Qiao, Yu, Lin, Dahua, Zhao, Feng
Large vision-language models (LVLMs) have recently achieved rapid progress, sparking numerous studies to evaluate their multi-modal capabilities. However, we dig into current evaluation works and identify two primary issues: 1) Visual content is unne
Externí odkaz:
http://arxiv.org/abs/2403.20330
Autor:
Yang, Chenhongyi, Chen, Zehui, Espinosa, Miguel, Ericsson, Linus, Wang, Zhenyu, Liu, Jiaming, Crowley, Elliot J.
We present PlainMamba: a simple non-hierarchical state space model (SSM) designed for general visual recognition. The recent Mamba model has shown how SSMs can be highly competitive with other architectures on sequential data and initial attempts hav
Externí odkaz:
http://arxiv.org/abs/2403.17695
Autor:
Cai, Zheng, Cao, Maosong, Chen, Haojiong, Chen, Kai, Chen, Keyu, Chen, Xin, Chen, Xun, Chen, Zehui, Chen, Zhi, Chu, Pei, Dong, Xiaoyi, Duan, Haodong, Fan, Qi, Fei, Zhaoye, Gao, Yang, Ge, Jiaye, Gu, Chenya, Gu, Yuzhe, Gui, Tao, Guo, Aijia, Guo, Qipeng, He, Conghui, Hu, Yingfan, Huang, Ting, Jiang, Tao, Jiao, Penglong, Jin, Zhenjiang, Lei, Zhikai, Li, Jiaxing, Li, Jingwen, Li, Linyang, Li, Shuaibin, Li, Wei, Li, Yining, Liu, Hongwei, Liu, Jiangning, Hong, Jiawei, Liu, Kaiwen, Liu, Kuikun, Liu, Xiaoran, Lv, Chengqi, Lv, Haijun, Lv, Kai, Ma, Li, Ma, Runyuan, Ma, Zerun, Ning, Wenchang, Ouyang, Linke, Qiu, Jiantao, Qu, Yuan, Shang, Fukai, Shao, Yunfan, Song, Demin, Song, Zifan, Sui, Zhihao, Sun, Peng, Sun, Yu, Tang, Huanze, Wang, Bin, Wang, Guoteng, Wang, Jiaqi, Wang, Jiayu, Wang, Rui, Wang, Yudong, Wang, Ziyi, Wei, Xingjian, Weng, Qizhen, Wu, Fan, Xiong, Yingtong, Xu, Chao, Xu, Ruiliang, Yan, Hang, Yan, Yirong, Yang, Xiaogui, Ye, Haochen, Ying, Huaiyuan, Yu, Jia, Yu, Jing, Zang, Yuhang, Zhang, Chuyu, Zhang, Li, Zhang, Pan, Zhang, Peng, Zhang, Ruijie, Zhang, Shuo, Zhang, Songyang, Zhang, Wenjian, Zhang, Wenwei, Zhang, Xingcheng, Zhang, Xinyue, Zhao, Hui, Zhao, Qian, Zhao, Xiaomeng, Zhou, Fengzhe, Zhou, Zaida, Zhuo, Jingming, Zou, Yicheng, Qiu, Xipeng, Qiao, Yu, Lin, Dahua
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI). However, replicating such advancements in open-source models has been challenging. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2403.17297
Autor:
Gao, Hongzhi, Chen, Zheng, Chen, Zehui, Chen, Lin, Liu, Jiaming, Zhang, Shanghang, Zhao, Feng
Training high-accuracy 3D detectors necessitates massive labeled 3D annotations with 7 degree-of-freedom, which is laborious and time-consuming. Therefore, the form of point annotations is proposed to offer significant prospects for practical applica
Externí odkaz:
http://arxiv.org/abs/2403.15317