Zobrazeno 1 - 10
of 151 013
pro vyhledávání: '"Li, Wei"'
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
In clinical trials, principal stratification analysis is commonly employed to address the issue of truncation by death, where a subject dies before the outcome can be measured. However, in practice, many survivor outcomes may remain uncollected or be
Externí odkaz:
http://arxiv.org/abs/2406.10554
Autor:
Li, Qingyun, Chen, Zhe, Wang, Weiyun, Wang, Wenhai, Ye, Shenglong, Jin, Zhenjiang, Chen, Guanzhou, He, Yinan, Gao, Zhangwei, Cui, Erfei, Yu, Jiashuo, Tian, Hao, Zhou, Jiasheng, Xu, Chao, Wang, Bin, Wei, Xingjian, Li, Wei, Zhang, Wenjian, Zhang, Bo, Cai, Pinlong, Wen, Licheng, Yan, Xiangchao, Li, Zhenxiang, Chu, Pei, Wang, Yi, Dou, Min, Tian, Changyao, Zhu, Xizhou, Lu, Lewei, Chen, Yushi, He, Junjun, Tu, Zhongying, Lu, Tong, Wang, Yali, Wang, Limin, Lin, Dahua, Qiao, Yu, Shi, Botian, He, Conghui, Dai, Jifeng
Image-text interleaved data, consisting of multiple images and texts arranged in a natural document format, aligns with the presentation paradigm of internet data and closely resembles human reading habits. Recent studies have shown that such data ai
Externí odkaz:
http://arxiv.org/abs/2406.08418
Autor:
Tang, Changli, Yu, Wenyi, Sun, Guangzhi, Chen, Xianzhao, Tan, Tian, Li, Wei, Zhang, Jun, Lu, Lu, Ma, Zejun, Wang, Yuxuan, Zhang, Chao
This paper explores enabling large language models (LLMs) to understand spatial information from multichannel audio, a skill currently lacking in auditory LLMs. By leveraging LLMs' advanced cognitive and inferential abilities, the aim is to enhance u
Externí odkaz:
http://arxiv.org/abs/2406.07914