Zobrazeno 1 - 10
of 1 919
pro vyhledávání: '"Chen, Jiahao"'
Clarifying the principles leading to complete decoherence is essential for understanding information loss in black hole formation. We employ strictly perturbative quantum master equations to compute the long-term decoherence rate in infrared-divergen
Externí odkaz:
http://arxiv.org/abs/2406.11088
Autor:
Chen, Jiahao, Shen, Zhiqiang, Pu, Yuwen, Zhou, Chunyi, Li, Changjiang, Li, Jiliang, Wang, Ting, Ji, Shouling
Face Recognition Systems (FRS) have increasingly integrated into critical applications, including surveillance and user authentication, highlighting their pivotal role in modern security systems. Recent studies have revealed vulnerabilities in FRS to
Externí odkaz:
http://arxiv.org/abs/2405.12786
Autor:
Pu, Yuwen, Ding, Zhuoyuan, Chen, Jiahao, Zhou, Chunyi, Li, Qingming, Hu, Chunqiang, Ji, Shouling
As a novel privacy-preserving paradigm aimed at reducing client computational costs and achieving data utility, split learning has garnered extensive attention and proliferated widespread applications across various fields, including smart health and
Externí odkaz:
http://arxiv.org/abs/2405.12751
Backdoor attacks have attracted wide attention from academia and industry due to their great security threat to deep neural networks (DNN). Most of the existing methods propose to conduct backdoor attacks by poisoning the training dataset with differ
Externí odkaz:
http://arxiv.org/abs/2405.12719
Autor:
Li, Jiale, Li, Jiayang, Chen, Jiahao, Li, Yifan, Wang, Shijie, Zhou, Hugo, Ye, Minjun, Su, Yunsheng
Human-like Agents with diverse and dynamic personalities could serve as an essential design probe in the process of user-centered design, thereby enabling designers to enhance the user experience of interactive applications. In this article, we intro
Externí odkaz:
http://arxiv.org/abs/2404.02718
NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation
Neural Radiance Field (NeRF) has been widely recognized for its excellence in novel view synthesis and 3D scene reconstruction. However, their effectiveness is inherently tied to the assumption of static scenes, rendering them susceptible to undesira
Externí odkaz:
http://arxiv.org/abs/2403.17537
With the widespread popularity of internet celebrity marketing all over the world, short video production has gradually become a popular way of presenting products information. However, the traditional video production industry usually includes serie
Externí odkaz:
http://arxiv.org/abs/2403.11700
The geo-localization and navigation technology of unmanned aerial vehicles (UAVs) in denied environments is currently a prominent research area. Prior approaches mainly employed a two-stream network with non-shared weights to extract features from UA
Externí odkaz:
http://arxiv.org/abs/2403.06148
Despite numerous completed studies, achieving high fidelity talking face generation with highly synchronized lip movements corresponding to arbitrary audio remains a significant challenge in the field. The shortcomings of published studies continue t
Externí odkaz:
http://arxiv.org/abs/2402.18122
Publikováno v:
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea
Although deep neural networks yield high classification accuracy given sufficient training data, their predictions are typically overconfident or under-confident, i.e., the prediction confidences cannot truly reflect the accuracy. Post-hoc calibratio
Externí odkaz:
http://arxiv.org/abs/2402.09204