Zobrazeno 1 - 10
of 47 048
pro vyhledávání: '"Chen, hui"'
Rendering photorealistic head avatars from arbitrary viewpoints is crucial for various applications like virtual reality. Although previous methods based on Neural Radiance Fields (NeRF) can achieve impressive results, they lack fidelity and efficien
Externí odkaz:
http://arxiv.org/abs/2412.13983
In order to address the issue of limited data samples for the deployment of pre-trained models in unseen environments, this paper proposes a residual channel-based data augmentation strategy for Radio Frequency Fingerprint Identification (RFFI), coup
Externí odkaz:
http://arxiv.org/abs/2412.08885
Autor:
Lian, Haoran, Chen, Junmin, Huang, Wei, Xiong, Yizhe, Hu, Wenping, Ding, Guiguang, Chen, Hui, Niu, Jianwei, Lin, Zijia, Zhang, Fuzheng, Zhang, Di
Recently, Large language models (LLMs) have revolutionized Natural Language Processing (NLP). Pretrained LLMs, due to limited training context size, struggle with handling long token sequences, limiting their performance on various downstream tasks.
Externí odkaz:
http://arxiv.org/abs/2412.07171
Multimodal Large Language Models (MLLMs) have recently demonstrated strong performance across a wide range of vision-language tasks, garnering significant attention in the computer vision. However, their efficient deployment remains a substantial cha
Externí odkaz:
http://arxiv.org/abs/2412.05819
Autor:
Wang, Ao, Chen, Hui, Tan, Jianchao, Zhang, Kefeng, Cai, Xunliang, Lin, Zijia, Han, Jungong, Ding, Guiguang
Recently, large vision-language models (LVLMs) have rapidly gained popularity for their strong generation and reasoning capabilities given diverse multimodal inputs. However, these models incur significant computational and memory overhead during inf
Externí odkaz:
http://arxiv.org/abs/2412.03409
Autor:
Chen, Hui-Huang
In this paper, we consider the time evolution of entanglement asymmetry of the black hole radiation in the Hayden-Preskill thought experiment. We assume the black hole is initially in a mixed state since it is entangled with the early radiation. Alic
Externí odkaz:
http://arxiv.org/abs/2411.17695
Autor:
Yang, Hui-Yue, Chen, Hui, Wang, Ao, Chen, Kai, Lin, Zijia, Tang, Yongliang, Gao, Pengcheng, Quan, Yuming, Han, Jungong, Ding, Guiguang
Segment Anything Model (SAM) has made great progress in anomaly segmentation tasks due to its impressive generalization ability. However, existing methods that directly apply SAM through prompting often overlook the domain shift issue, where SAM perf
Externí odkaz:
http://arxiv.org/abs/2411.17217
Autor:
Wang, Yu-Tong, Ye, Qi-Hang, Yan, Jun-Yong, Qiao, Yufei, Chen, Chen, Cheng, Xiao-Tian, Li, Chen-Hui, Zhang, Zi-Jian, Huang, Cheng-Nian, Meng, Yun, Zou, Kai, Zhan, Wen-Kang, Zhao, Chao, Hu, Xiaolong, Tee, Clarence Augustine T H, Sha, Wei E. I., Huang, Zhixiang, Liu, Huiyun, Jin, Chao-Yuan, Ying, Lei, Liu, Feng
Quantum emitters are a key component in photonic quantum technologies. Enhancing their single-photon emission by engineering the photonic environment using cavities can significantly improve the overall efficiency in quantum information processing. H
Externí odkaz:
http://arxiv.org/abs/2411.16830
This paper introduces a novel approach to efficient localization in next-generation communication systems through a base station (BS)-enabled passive beamforming utilizing beyond diagonal reconfigurable intelligent surfaces (BD-RISs). Unlike conventi
Externí odkaz:
http://arxiv.org/abs/2411.13295
Gaze estimation encounters generalization challenges when dealing with out-of-distribution data. To address this problem, recent methods use neural radiance fields (NeRF) to generate augmented data. However, existing methods based on NeRF are computa
Externí odkaz:
http://arxiv.org/abs/2411.12981