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pro vyhledávání: '"REN, Bo"'
Integrating speech into LLM (speech-LLM) has gaining increased attention recently. The mainstream solution is to connect a well-trained speech encoder and LLM with a neural adapter. However, the length mismatch between the speech and text sequences a
Externí odkaz:
http://arxiv.org/abs/2412.01145
We present the theory of the longitudinal spin Seebeck effect between a Heisenberg spin-1/2 chain and a conductor. The effect consists of the generation of a spin current across the spin chain-conductor interface in response to the temperature differ
Externí odkaz:
http://arxiv.org/abs/2409.08327
To overcome the inherent domain gap between remote sensing (RS) images and natural images, some self-supervised representation learning methods have made promising progress. However, they have overlooked the diverse angles present in RS objects. This
Externí odkaz:
http://arxiv.org/abs/2408.01946
Volumetric rendering based methods, like NeRF, excel in HDR view synthesis from RAWimages, especially for nighttime scenes. While, they suffer from long training times and cannot perform real-time rendering due to dense sampling requirements. The adv
Externí odkaz:
http://arxiv.org/abs/2406.06216
Autor:
Wang Xiaofeng, Zou Yuxia, Ding Ren-Bo, Lyu Xueying, Fu Yuanfeng, Zhou Xuejun, Sun Zhihua, Bao Jiaolin
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 1891-1894 (2024)
Externí odkaz:
https://doaj.org/article/947be33feb714348ae947510eafe29ae
Autor:
Wu, Jian, Gaur, Yashesh, Chen, Zhuo, Zhou, Long, Zhu, Yimeng, Wang, Tianrui, Li, Jinyu, Liu, Shujie, Ren, Bo, Liu, Linquan, Wu, Yu
Large language models (LLMs) have achieved remarkable success in the field of natural language processing, enabling better human-computer interaction using natural language. However, the seamless integration of speech signals into LLMs has not been e
Externí odkaz:
http://arxiv.org/abs/2307.03917
Autor:
Kuang, Jianfeng, Hua, Wei, Liang, Dingkang, Yang, Mingkun, Jiang, Deqiang, Ren, Bo, Bai, Xiang
Visual information extraction (VIE), which aims to simultaneously perform OCR and information extraction in a unified framework, has drawn increasing attention due to its essential role in various applications like understanding receipts, goods, and
Externí odkaz:
http://arxiv.org/abs/2305.07498
Existing Neural Radiance Fields (NeRF) methods suffer from the existence of reflective objects, often resulting in blurry or distorted rendering. Instead of calculating a single radiance field, we propose a multi-space neural radiance field (MS-NeRF)
Externí odkaz:
http://arxiv.org/abs/2305.04268
Neural implicit methods have achieved high-quality 3D object surfaces under slight specular highlights. However, high specular reflections (HSR) often appear in front of target objects when we capture them through glasses. The complex ambiguity in th
Externí odkaz:
http://arxiv.org/abs/2304.08706
Movie highlights stand out of the screenplay for efficient browsing and play a crucial role on social media platforms. Based on existing efforts, this work has two observations: (1) For different annotators, labeling highlight has uncertainty, which
Externí odkaz:
http://arxiv.org/abs/2303.14768