Classification of Alzheimer's disease with deep learning on eye-tracking data
Existing research has shown the potential of classifying Alzheimer's Disease (AD) from eye-
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …
A novel deep learning framework for automatic recognition of thyroid gland and tissues of neck in ultrasound image
L Ma, G Tan, H Luo, Q Liao, S Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recognition of thyroid glands and tissues of the neck is vital for screening related diseases
in ultrasound videos. This task is subjective, challenging, and dependent on the experience …
in ultrasound videos. This task is subjective, challenging, and dependent on the experience …
Extractive video summarizer with memory augmented neural networks
Online videos have been growing explosively in recent years. How to help human users
efficiently browse videos becomes more and more important. Video summarization can …
efficiently browse videos becomes more and more important. Video summarization can …
VSS-Net: visual semantic self-mining network for video summarization
Y Zhang, Y Liu, W Kang, R Tao - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
Video summarization, with the target to detect valuable segments given untrimmed videos, is
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …
Data-driven enabled approaches for criteria-based video summarization: a comprehensive survey, taxonomy, and future directions
The exponential growth in the usage of computing technologies in various applications has
led to the creation of huge amount of multimedia information such as, video, audio, and text …
led to the creation of huge amount of multimedia information such as, video, audio, and text …
A novel multi-modal neural network approach for dynamic and generic sports video summarization
Video Summarization is a video compression/compaction technique to create a shorter yet
informative version of original video. Video summarization has offered solutions to plenty of …
informative version of original video. Video summarization has offered solutions to plenty of …
A comprehensive survey and mathematical insights towards video summarization
Video Summarization is a technique to reduce the original raw video into a short video
summary. Video summarization automates the task of acquiring key frames/segments from …
summary. Video summarization automates the task of acquiring key frames/segments from …
CACNN: Capsule attention convolutional neural networks for 3D object recognition
Recently, view-based approaches, which recognize a 3D object through its projected 2-D
images, have been extensively studied and have achieved considerable success in 3D …
images, have been extensively studied and have achieved considerable success in 3D …
User-ranking video summarization with multi-stage spatio–temporal representation
Video summarization is a challenging task, mainly due to the difficulties in learning
complicated semantic structural relations between videos and summaries. In this paper, we …
complicated semantic structural relations between videos and summaries. In this paper, we …
Spectral-wise implicit neural representation for hyperspectral image reconstruction
H Chen, W Zhao, T Xu, G Shi, S Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Coded Aperture Snapshot Spectral Imaging (CASSI) reconstruction aims to recover the 3D
spatial-spectral signal from 2D measurement. Existing methods for reconstructing …
spatial-spectral signal from 2D measurement. Existing methods for reconstructing …