Zobrazeno 1 - 10
of 1 236 907
pro vyhledávání: '"AN, Bin"'
Autor:
Hsu, Aliyah R., Zhu, James, Wang, Zhichao, Bi, Bin, Mehrotra, Shubham, Pentyala, Shiva K., Tan, Katherine, Mao, Xiang-Bo, Omrani, Roshanak, Chaudhuri, Sougata, Radhakrishnan, Regunathan, Asur, Sitaram, Cheng, Claire Na, Yu, Bin
LLMs have demonstrated impressive proficiency in generating coherent and high-quality text, making them valuable across a range of text-generation tasks. However, rigorous evaluation of this generated content is crucial, as ensuring its quality remai
Externí odkaz:
http://arxiv.org/abs/2411.02448
Precise alignment of multi-modal images with inherent feature discrepancies poses a pivotal challenge in deformable image registration. Traditional learning-based approaches often consider registration networks as black boxes without interpretability
Externí odkaz:
http://arxiv.org/abs/2411.01399
Text-based person retrieval aims to identify the specific persons using textual descriptions as queries. Existing ad vanced methods typically depend on vision-language pre trained (VLP) models to facilitate effective cross-modal alignment. However, t
Externí odkaz:
http://arxiv.org/abs/2410.21318
Following the success of Large Language Models (LLMs), expanding their boundaries to new modalities represents a significant paradigm shift in multimodal understanding. Human perception is inherently multimodal, relying not only on text but also on a
Externí odkaz:
http://arxiv.org/abs/2410.18325
Existing large pre-trained models typically map text input to text output in an end-to-end manner, such as ChatGPT, or map a segment of text input to a hierarchy of action decisions, such as OpenVLA. However, humans can simultaneously generate text a
Externí odkaz:
http://arxiv.org/abs/2410.15885
Model Inversion Attacks (MIAs) aim at recovering privacy-sensitive training data from the knowledge encoded in the released machine learning models. Recent advances in the MIA field have significantly enhanced the attack performance under multiple sc
Externí odkaz:
http://arxiv.org/abs/2410.05814
The evolving field of mobile robotics has indeed increased the demand for simultaneous localization and mapping (SLAM) systems. To augment the localization accuracy and mapping efficacy of SLAM, we refined the core module of the SLAM system. Within t
Externí odkaz:
http://arxiv.org/abs/2410.05017
Autor:
Chen, Xu, Yu, Guangsheng, Yuan, Zhian, Wu, Hao, Jiang, Yilin, Wang, Ying, Deng, Bin, Guo, Limin
Millimeter-wave (MMW) multiple-input multiple-output synthetic aperture radar (MIMO-SAR) system is a technology that can achieve high resolution, high frame rate, and all-weather imaging and has received extensive attention in the non-destructive tes
Externí odkaz:
http://arxiv.org/abs/2411.14837
Independent Optical Frequency Combs Powered 546 km Field Test of Twin-Field Quantum Key Distribution
Autor:
Zhou, Lai, Lin, Jinping, Ge, Chengfang, Fan, Yuanbin, Yuan, Zhiliang, Dong, Hao, Liu, Yang, Ma, Di, Chen, Jiu-Peng, Jiang, Cong, Wang, Xiang-Bin, You, Li-Xing, Zhang, Qiang, Pan, Jian-Wei
Owing to its repeater-like rate-loss scaling, twin-field quantum key distribution (TF-QKD) has repeatedly exhibited in laboratory its superiority for secure communication over record fiber lengths. Field trials pose a new set of challenges however, w
Externí odkaz:
http://arxiv.org/abs/2411.13943
Autor:
Zhang, Xin-Feng, Liu, Yuan-Fen, Luo, Huan-Bo, Liu, Bin, Dou, Fu-Quan, Li, Yongyao, Malomed, Boris A.
We investigate phase transitions of the ground state (GS) of spin-1 Bose-Einstein condensates under the combined action of the spin-orbit coupling (SOC) and gradient magnetic field. Introducing appropariate raising and lowering operators, we exactly
Externí odkaz:
http://arxiv.org/abs/2411.13938