Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zhou, Juan"'
Autor:
Song, Dan, Zhang, Xuanpu, Zhou, Juan, Nie, Weizhi, Tong, Ruofeng, Kankanhalli, Mohan, Liu, An-An
Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image generation, showing both research significance and commercial potentia
Externí odkaz:
http://arxiv.org/abs/2311.04811
In representation learning, regression has traditionally received less attention than classification. Directly applying representation learning techniques designed for classification to regression often results in fragmented representations in the la
Externí odkaz:
http://arxiv.org/abs/2309.16633
Under the framework of network-based neurodegeneration, brain functional connectome (FC)-based Graph Neural Networks (GNN) have emerged as a valuable tool for the diagnosis and prognosis of neurodegenerative diseases such as Alzheimer's disease (AD).
Externí odkaz:
http://arxiv.org/abs/2307.00858
Publikováno v:
Phys. Rev. A 107, 063703 (2023)
We study chiral and nonreciprocal single-photon scattering in a chiral-giant-molecule waveguide-QED system. Here, the giant molecule consists of two coupled giant atoms, which interact with two linear waveguides, forming a four-port quantum device. W
Externí odkaz:
http://arxiv.org/abs/2306.10957
Reconstructing human vision from brain activities has been an appealing task that helps to understand our cognitive process. Even though recent research has seen great success in reconstructing static images from non-invasive brain recordings, work o
Externí odkaz:
http://arxiv.org/abs/2305.11675
Deep learning has been successfully applied to recognizing both natural images and medical images. However, there remains a gap in recognizing 3D neuroimaging data, especially for psychiatric diseases such as schizophrenia and depression that have no
Externí odkaz:
http://arxiv.org/abs/2211.11557
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Decoding visual stimuli from brain recordings aims to deepen our understanding of the human visual system and build a solid foundation for bridging human and computer vision through the Brain-Computer Interface. However, reconstructing high-quality i
Externí odkaz:
http://arxiv.org/abs/2211.06956
Autor:
Dong, Hao-Wen, Shen, Chen, Zhao, Sheng-Dong, Qiu, Weibao, Zhou, Juan, Zhang, Chuanzeng, Zheng, Hairong, Cummer, Steven A., Wang, Yue-Sheng, Cheng, Li
Publikováno v:
National Science Review, 2022
Metasurfaces, the ultrathin media with extraordinary wavefront modulation ability, have shown versatile potential in manipulating waves. However, existing acoustic metasurfaces are limited by their narrow-band frequency-dependent capability, which se
Externí odkaz:
http://arxiv.org/abs/2011.07219
Convolutional Neural Network (CNN) has been successfully applied on classification of both natural images and medical images but not yet been applied to differentiating patients with schizophrenia from healthy controls. Given the subtle, mixed, and s
Externí odkaz:
http://arxiv.org/abs/2003.08818
Autor:
Luo, Luyang, Chen, Hao, Wang, Xi, Dou, Qi, Lin, Huangjin, Zhou, Juan, Li, Gongjie, Heng, Pheng-Ann
Accurate and automatic analysis of breast MRI plays an important role in early diagnosis and successful treatment planning for breast cancer. Due to the heterogeneity nature, accurate diagnosis of tumors remains a challenging task. In this paper, we
Externí odkaz:
http://arxiv.org/abs/1906.02999