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pro vyhledávání: '"wang, yalin"'
Autor:
Yang, Zhangsihao, Shan, Mengyi, Farazi, Mohammad, Zhu, Wenhui, Chen, Yanxi, Dong, Xuanzhao, Wang, Yalin
Human video generation task has gained significant attention with the advancement of deep generative models. Generating realistic videos with human movements is challenging in nature, due to the intricacies of human body topology and sensitivity to v
Externí odkaz:
http://arxiv.org/abs/2409.01502
Multiple instance learning (MIL) stands as a powerful approach in weakly supervised learning, regularly employed in histological whole slide image (WSI) classification for detecting tumorous lesions. However, existing mainstream MIL methods focus on
Externí odkaz:
http://arxiv.org/abs/2407.03575
Autor:
Zhu, Wenhui, Chen, Xiwen, Qiu, Peijie, Farazi, Mohammad, Sotiras, Aristeidis, Razi, Abolfazl, Wang, Yalin
Since its introduction, UNet has been leading a variety of medical image segmentation tasks. Although numerous follow-up studies have also been dedicated to improving the performance of standard UNet, few have conducted in-depth analyses of the under
Externí odkaz:
http://arxiv.org/abs/2406.14896
In this paper, we focus on exploiting the group structure for large-dimensional factor models, which captures the homogeneous effects of common factors on individuals within the same group. In view of the fact that datasets in macroeconomics and fina
Externí odkaz:
http://arxiv.org/abs/2405.07138
Autor:
Chen, Xiwen, Qiu, Peijie, Zhu, Wenhui, Li, Huayu, Wang, Hao, Sotiras, Aristeidis, Wang, Yalin, Razi, Abolfazl
Deep neural networks, including transformers and convolutional neural networks, have significantly improved multivariate time series classification (MTSC). However, these methods often rely on supervised learning, which does not fully account for the
Externí odkaz:
http://arxiv.org/abs/2405.03140
Structural decoupling has played an essential role in model-based fault isolation and estimation in past decades, which facilitates accurate fault localization and reconstruction thanks to the diagonal transfer matrix design. However, traditional met
Externí odkaz:
http://arxiv.org/abs/2404.18528
Publikováno v:
Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124641Z (3 April 2023)
Human vision has different concentration on visual fields. Cortical magnification factor (CMF) is a popular measurement on visual acuity and cortex concentration. In order to achieve thorough measurement of CMF across the whole visual field, we propo
Externí odkaz:
http://arxiv.org/abs/2404.06505
Publikováno v:
2024 IEEE International Symposium on Biomedical Imaging
The reconstruction of human visual inputs from brain activity, particularly through functional Magnetic Resonance Imaging (fMRI), holds promising avenues for unraveling the mechanisms of the human visual system. Despite the significant strides made b
Externí odkaz:
http://arxiv.org/abs/2404.05107
Retinotopic mapping aims to uncover the relationship between visual stimuli on the retina and neural responses on the visual cortical surface. This study advances retinotopic mapping by applying diffeomorphic registration to the 3T NYU retinotopy dat
Externí odkaz:
http://arxiv.org/abs/2405.01552
Multiple Instance Learning (MIL) has been widely used in weakly supervised whole slide image (WSI) classification. Typical MIL methods include a feature embedding part, which embeds the instances into features via a pre-trained feature extractor, and
Externí odkaz:
http://arxiv.org/abs/2311.00048