Zobrazeno 1 - 10
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pro vyhledávání: '"Lu, Feng"'
In quantum mechanics, a long-standing question remains: How does a single photon traverse double slits? One intuitive picture suggests that the photon passes through only one slit, while its wavefunction splits into an ``empty" wave and a ``full" wav
Externí odkaz:
http://arxiv.org/abs/2409.13383
Autor:
He, Jinwei, Lu, Feng
Large language models (LLMs) have been utilized in solving diverse reasoning tasks, encompassing common sense, arithmetic and deduction tasks. However, with difficulties of reversing thinking patterns and irrelevant premises, how to determine the aut
Externí odkaz:
http://arxiv.org/abs/2409.05559
Conventionally, atomic vapor is perceived as a non-living system governed by the principles of thermodynamics and statistical physics. However, the demarcation line between life and non-life appears to be less distinct than previously thought. In a s
Externí odkaz:
http://arxiv.org/abs/2408.04950
Autor:
Liang, Jiadong, Lu, Feng
Vivid talking face generation holds immense potential applications across diverse multimedia domains, such as film and game production. While existing methods accurately synchronize lip movements with input audio, they typically ignore crucial alignm
Externí odkaz:
http://arxiv.org/abs/2406.07895
Autor:
Wang, Shaohua, Xie, Xing, Li, Yong, Guo, Danhuai, Cai, Zhi, Liu, Yu, Yue, Yang, Pan, Xiao, Lu, Feng, Wu, Huayi, Gui, Zhipeng, Ding, Zhiming, Zheng, Bolong, Zhang, Fuzheng, Wang, Jingyuan, Chen, Zhengchao, Lu, Hao, Li, Jiayi, Yue, Peng, Yu, Wenhao, Yao, Yao, Sun, Leilei, Zhang, Yong, Chen, Longbiao, Du, Xiaoping, Li, Xiang, Zhang, Xueying, Qin, Kun, Gong, Zhaoya, Dong, Weihua, Meng, Xiaofeng
This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussion on the definition, development history, current status, and trends o
Externí odkaz:
http://arxiv.org/abs/2405.19730
Autor:
Fan, Zicong, Ohkawa, Takehiko, Yang, Linlin, Lin, Nie, Zhou, Zhishan, Zhou, Shihao, Liang, Jiajun, Gao, Zhong, Zhang, Xuanyang, Zhang, Xue, Li, Fei, Liu, Zheng, Lu, Feng, Zeid, Karim Abou, Leibe, Bastian, On, Jeongwan, Baek, Seungryul, Prakash, Aditya, Gupta, Saurabh, He, Kun, Sato, Yoichi, Hilliges, Otmar, Chang, Hyung Jin, Yao, Angela
We interact with the world with our hands and see it through our own (egocentric) perspective. A holistic 3Dunderstanding of such interactions from egocentric views is important for tasks in robotics, AR/VR, action recognition and motion generation.
Externí odkaz:
http://arxiv.org/abs/2403.16428
Over the past decade, most methods in visual place recognition (VPR) have used neural networks to produce feature representations. These networks typically produce a global representation of a place image using only this image itself and neglect the
Externí odkaz:
http://arxiv.org/abs/2402.19231
Autor:
Lu, Feng, Dong, Shuting, Zhang, Lijun, Liu, Bingxi, Lan, Xiangyuan, Jiang, Dongmei, Yuan, Chun
Publikováno v:
AAAI 2024
Visual place recognition (VPR) is a fundamental task for many applications such as robot localization and augmented reality. Recently, the hierarchical VPR methods have received considerable attention due to the trade-off between accuracy and efficie
Externí odkaz:
http://arxiv.org/abs/2402.16086
Recent studies show that vision models pre-trained in generic visual learning tasks with large-scale data can provide useful feature representations for a wide range of visual perception problems. However, few attempts have been made to exploit pre-t
Externí odkaz:
http://arxiv.org/abs/2402.14505
While speech interaction finds widespread utility within the Extended Reality (XR) domain, conventional vocal speech keyword spotting systems continue to grapple with formidable challenges, including suboptimal performance in noisy environments, impr
Externí odkaz:
http://arxiv.org/abs/2401.14978