Zobrazeno 1 - 10
of 2 430
pro vyhledávání: '"Li, JingWen"'
Autor:
Cheng, Junlong, Fu, Bin, Ye, Jin, Wang, Guoan, Li, Tianbin, Wang, Haoyu, Li, Ruoyu, Yao, He, Chen, Junren, Li, JingWen, Su, Yanzhou, Zhu, Min, He, Junjun
Interactive Medical Image Segmentation (IMIS) has long been constrained by the limited availability of large-scale, diverse, and densely annotated datasets, which hinders model generalization and consistent evaluation across different models. In this
Externí odkaz:
http://arxiv.org/abs/2411.12814
Large-area gratings play a crucial role in various engineering fields. However, traditional interference lithography is limited by the size of optical component apertures, making large-area fabrication a challenging task. Here, a method for fabricati
Externí odkaz:
http://arxiv.org/abs/2411.01976
Autor:
Li, Jingwen, Li, Xiao, Zhang, Guohao, Liu, Jiaqing, Chen, Changdong, Liu, Youwen, Fu, Yangyang
Metagratings (MGs) have emerged as a promising platform for manipulating the anomalous propagation of electromagnetic waves. However, traditional methods for designing functional MG-based devices face significant challenges, including complex model s
Externí odkaz:
http://arxiv.org/abs/2409.14663
Autor:
Li, Jingwen, Priyadarshi, Debankit, Yang, Chia-Jung, Pohl, Ulli, Stockert, Oliver, von Loehneysen, Hilbert, Pal, Shovon, Fiebig, Manfred, Kroha, Johann
The competition between the Kondo spin-screening effect and the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction in heavy-fermion systems drives the quantum phase transition between the magnetically ordered and the heavy-Fermi-liquid ground states. D
Externí odkaz:
http://arxiv.org/abs/2408.07345
Autor:
Zhai, Yikui, Zhou, Wenlve, Sun, Bing, Li, Jingwen, Ke, Qirui, Ying, Zilu, Gan, Junying, Mai, Chaoyun, Labati, Ruggero Donida, Piuri, Vincenzo, Scotti, Fabio
In recent years, impressive performance of deep learning technology has been recognized in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). Since a large amount of annotated data is required in this technique, it poses a trenchant c
Externí odkaz:
http://arxiv.org/abs/2408.03627
Autor:
Zhang, Pan, Dong, Xiaoyi, Zang, Yuhang, Cao, Yuhang, Qian, Rui, Chen, Lin, Guo, Qipeng, Duan, Haodong, Wang, Bin, Ouyang, Linke, Zhang, Songyang, Zhang, Wenwei, Li, Yining, Gao, Yang, Sun, Peng, Zhang, Xinyue, Li, Wei, Li, Jingwen, Wang, Wenhai, Yan, Hang, He, Conghui, Zhang, Xingcheng, Chen, Kai, Dai, Jifeng, Qiao, Yu, Lin, Dahua, Wang, Jiaqi
We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that supports long-contextual input and output. IXC-2.5 excels in various text-image comprehension and composition applications, achieving GPT-4V level capabilities
Externí odkaz:
http://arxiv.org/abs/2407.03320
Reversible Data Hiding (RDH) is a practical and efficient technique for information encryption. Among its methods, the Pixel-Value Ordering (PVO) algorithm and its variants primarily modify prediction errors to embed information. However, both the cl
Externí odkaz:
http://arxiv.org/abs/2405.04068
Autor:
Dong, Xiaoyi, Zhang, Pan, Zang, Yuhang, Cao, Yuhang, Wang, Bin, Ouyang, Linke, Zhang, Songyang, Duan, Haodong, Zhang, Wenwei, Li, Yining, Yan, Hang, Gao, Yang, Chen, Zhe, Zhang, Xinyue, Li, Wei, Li, Jingwen, Wang, Wenhai, Chen, Kai, He, Conghui, Zhang, Xingcheng, Dai, Jifeng, Qiao, Yu, Lin, Dahua, Wang, Jiaqi
The Large Vision-Language Model (LVLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution. Recent efforts have aimed to enhance the high-
Externí odkaz:
http://arxiv.org/abs/2404.06512
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:
Dong, Xiaoyi, Zhang, Pan, Zang, Yuhang, Cao, Yuhang, Wang, Bin, Ouyang, Linke, Wei, Xilin, Zhang, Songyang, Duan, Haodong, Cao, Maosong, Zhang, Wenwei, Li, Yining, Yan, Hang, Gao, Yang, Zhang, Xinyue, Li, Wei, Li, Jingwen, Chen, Kai, He, Conghui, Zhang, Xingcheng, Qiao, Yu, Lin, Dahua, Wang, Jiaqi
We introduce InternLM-XComposer2, a cutting-edge vision-language model excelling in free-form text-image composition and comprehension. This model goes beyond conventional vision-language understanding, adeptly crafting interleaved text-image content
Externí odkaz:
http://arxiv.org/abs/2401.16420