Zobrazeno 1 - 10
of 15 659
pro vyhledávání: '"Li, Xi‐An"'
Autor:
Lou, Renze, Xu, Hanzi, Wang, Sijia, Du, Jiangshu, Kamoi, Ryo, Lu, Xiaoxin, Xie, Jian, Sun, Yuxuan, Zhang, Yusen, Ahn, Jihyun Janice, Fang, Hongchao, Zou, Zhuoyang, Ma, Wenchao, Li, Xi, Zhang, Kai, Xia, Congying, Huang, Lifu, Yin, Wenpeng
Numerous studies have assessed the proficiency of AI systems, particularly large language models (LLMs), in facilitating everyday tasks such as email writing, question answering, and creative content generation. However, researchers face unique chall
Externí odkaz:
http://arxiv.org/abs/2410.22394
Autor:
Bi, Xiaohuan, Li, Xi
Federated learning (FL) enables decentralized model training while preserving privacy. Recently, integrating Foundation Models (FMs) into FL has boosted performance but also introduced a novel backdoor attack mechanism. Attackers can exploit the FM's
Externí odkaz:
http://arxiv.org/abs/2410.17573
Autor:
Zhang, Xiao-Min, Zhao, Run-Qing, Peng, Zhi-peng, Li, Xi-Bin, Feng, Yun-Cai, Chu, Peng-Cheng, Xing, Yi-Hang
This study extended noncanonical warm inflation to the nonminimal derivative coupling scenario. The fundamental equations, including the evolution equations and the slow roll equations of this new framework, were derived. The enlarged damping term, w
Externí odkaz:
http://arxiv.org/abs/2410.16839
Recently, camera pose, as a user-friendly and physics-related condition, has been introduced into text-to-video diffusion model for camera control. However, existing methods simply inject camera conditions through a side input. These approaches negle
Externí odkaz:
http://arxiv.org/abs/2410.15957
Autor:
Hao, Shengyu, Chai, Wenhao, Zhao, Zhonghan, Sun, Meiqi, Hu, Wendi, Zhou, Jieyang, Zhao, Yixian, Li, Qi, Wang, Yizhou, Li, Xi, Wang, Gaoang
The growing interest in embodied intelligence has brought ego-centric perspectives to contemporary research. One significant challenge within this realm is the accurate localization and tracking of objects in ego-centric videos, primarily due to the
Externí odkaz:
http://arxiv.org/abs/2410.08530
Autor:
Yao, Xu, Wu, Xiaoxu, Li, Xi, Xu, Huan, Li, Chenlei, Huang, Ping, Li, Si, Ma, Xiaoning, Shan, Jiulong
Manufacturing quality audits are pivotal for ensuring high product standards in mass production environments. Traditional auditing processes, however, are labor-intensive and reliant on human expertise, posing challenges in maintaining transparency,
Externí odkaz:
http://arxiv.org/abs/2410.07677
Autor:
Zhang, Qi, Ying, Jia-Wei, Wang, Zhong-Jian, Zhong, Wei, Du, Ming-Ming, Shen, Shu-Ting, Li, Xi-Yun, Zhang, An-Lei, Gu, Shi-Pu, Wang, Xing-Fu, Zhou, Lan, Sheng, Yu-Bo
Quantum secret sharing (QSS) enables a dealer to securely distribute keys to multiple players. Device-independent (DI) QSS can resist all possible attacks from practical imperfect devices and provide QSS the highest level of security in theory. Howev
Externí odkaz:
http://arxiv.org/abs/2410.04003
Multi-object tracking (MOT) emerges as a pivotal and highly promising branch in the field of computer vision. Classical closed-vocabulary MOT (CV-MOT) methods aim to track objects of predefined categories. Recently, some open-vocabulary MOT (OV-MOT)
Externí odkaz:
http://arxiv.org/abs/2409.09293
Multimodal Emotion Recognition (MER) aims to automatically identify and understand human emotional states by integrating information from various modalities. However, the scarcity of annotated multimodal data significantly hinders the advancement of
Externí odkaz:
http://arxiv.org/abs/2409.05015
Single-frame infrared small target (SIRST) detection poses a significant challenge due to the requirement to discern minute targets amidst complex infrared background clutter. Recently, deep learning approaches have shown promising results in this do
Externí odkaz:
http://arxiv.org/abs/2409.04011