Zobrazeno 1 - 10
of 151 222
pro vyhledávání: '"LI, Wei"'
The origin of diffuse high-energy neutrinos from TeV to PeV energies detected by IceCube Observatory remains a mystery. In our previous work, we have shown that hadronuclear (p-p) interactions in AGN jets could be important and generate detectable ve
Externí odkaz:
http://arxiv.org/abs/2407.04195
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
Autor:
Huang, Zihao, Hu, ShouKang, Wang, Guangcong, Liu, Tianqi, Zang, Yuhang, Cao, Zhiguo, Li, Wei, Liu, Ziwei
Existing human datasets for avatar creation are typically limited to laboratory environments, wherein high-quality annotations (e.g., SMPL estimation from 3D scans or multi-view images) can be ideally provided. However, their annotating requirements
Externí odkaz:
http://arxiv.org/abs/2407.02165
Autor:
Yu, Jiawei, Jia, Guihao, Li, Qian, Wang, Yuyang, Xiao, Kebin, Ju, Yongkang, Zhang, Hongyun, Hu, Zhiqiang, Guo, Yunkai, Lian, Biao, Tang, Peizhe, Zhou, Shuyun, Xue, Qi-Kun, Li, Wei
In twisted bilayer graphene (TBG) devices, local strains often coexist and entangle with the twist-angle dependent moir\'e superlattice, both of which can significantly affect the electronic properties of TBG. Here, using low-temperature scanning tun
Externí odkaz:
http://arxiv.org/abs/2406.20040
Generalist segmentation models are increasingly favored for diverse tasks involving various objects from different image sources. Task-Incremental Learning (TIL) offers a privacy-preserving training paradigm using tasks arriving sequentially, instead
Externí odkaz:
http://arxiv.org/abs/2406.19796
Hyperspectral imaging, capturing detailed spectral information for each pixel, is pivotal in diverse scientific and industrial applications. Yet, the acquisition of high-resolution (HR) hyperspectral images (HSIs) often needs to be addressed due to t
Externí odkaz:
http://arxiv.org/abs/2406.19666
Recent works have shown promising results in connecting speech encoders to large language models (LLMs) for speech recognition. However, several limitations persist, including limited fine-tuning options, a lack of mechanisms to enforce speech-text a
Externí odkaz:
http://arxiv.org/abs/2406.17272
Understanding the spectral and temporal dynamics of charge transfer plasmon resonances that emerge in conductively connected plasmonic nanoparticles is crucial for exploiting their potentials for enhanced infrared spectroscopy and optical computing.
Externí odkaz:
http://arxiv.org/abs/2406.17996
Autor:
Chen, Yirui, Huang, Xudong, Zhang, Quan, Li, Wei, Zhu, Mingjian, Yan, Qiangyu, Li, Simiao, Chen, Hanting, Hu, Hailin, Yang, Jie, Liu, Wei, Hu, Jie
The extraordinary ability of generative models emerges as a new trend in image editing and generating realistic images, posing a serious threat to the trustworthiness of multimedia data and driving the research of image manipulation detection and loc
Externí odkaz:
http://arxiv.org/abs/2406.16531
Autor:
Sun, Guangzhi, Yu, Wenyi, Tang, Changli, Chen, Xianzhao, Tan, Tian, Li, Wei, Lu, Lu, Ma, Zejun, Wang, Yuxuan, Zhang, Chao
Speech understanding as an element of the more generic video understanding using audio-visual large language models (av-LLMs) is a crucial yet understudied aspect. This paper proposes video-SALMONN, a single end-to-end av-LLM for video processing, wh
Externí odkaz:
http://arxiv.org/abs/2406.15704