Zobrazeno 1 - 10
of 2 142
pro vyhledávání: '"Zhang, Junping"'
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 2024
Mild cognitive impairment (MCI) is often at high risk of progression to Alzheimer's disease (AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtype labels, pMCI vs. stable MCI (sMCI), determined by whether or not an
Externí odkaz:
http://arxiv.org/abs/2401.10966
Incomplete-view computed tomography (CT) can shorten the data acquisition time and allow scanning of large objects, including sparse-view and limited-angle scenarios, each with various settings, such as different view numbers or angular ranges. Howev
Externí odkaz:
http://arxiv.org/abs/2312.07846
Image restoration, which aims to retrieve and enhance degraded images, is fundamental across a wide range of applications. While conventional deep learning approaches have notably improved the image quality across various tasks, they still suffer fro
Externí odkaz:
http://arxiv.org/abs/2312.05038
Class-agnostic object counting aims to count all objects in an image with respect to example boxes or class names, \emph{a.k.a} few-shot and zero-shot counting. In this paper, we propose a generalized framework for both few-shot and zero-shot object
Externí odkaz:
http://arxiv.org/abs/2311.12386
Video prediction, predicting future frames from the previous ones, has broad applications such as autonomous driving and weather forecasting. Existing state-of-the-art methods typically focus on extracting either spatial, temporal, or spatiotemporal
Externí odkaz:
http://arxiv.org/abs/2311.11683
Interpreting the decisions of deep learning models has been actively studied since the explosion of deep neural networks. One of the most convincing interpretation approaches is salience-based visual interpretation, such as Grad-CAM, where the genera
Externí odkaz:
http://arxiv.org/abs/2310.09821
Navigating in the latent space of StyleGAN has shown effectiveness for face editing. However, the resulting methods usually encounter challenges in complicated navigation due to the entanglement among different attributes in the latent space. To addr
Externí odkaz:
http://arxiv.org/abs/2309.05314
Sparse-view computed tomography (CT) -- using a small number of projections for tomographic reconstruction -- enables much lower radiation dose to patients and accelerated data acquisition. The reconstructed images, however, suffer from strong artifa
Externí odkaz:
http://arxiv.org/abs/2308.08463
Online continual learning (CL) studies the problem of learning continuously from a single-pass data stream while adapting to new data and mitigating catastrophic forgetting. Recently, by storing a small subset of old data, replay-based methods have s
Externí odkaz:
http://arxiv.org/abs/2308.00301
Recent works for face editing usually manipulate the latent space of StyleGAN via the linear semantic directions. However, they usually suffer from the entanglement of facial attributes, need to tune the optimal editing strength, and are limited to b
Externí odkaz:
http://arxiv.org/abs/2307.07790