Results 41 to 50 of about 84,629 (319)
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
, 2017 Automatic visual speech recognition is an interesting problem in pattern recognition especially when audio data is noisy or not readily available.
Ekenel, Hazım Kemal +3 more
core +1 more source
Appearance-and-Relation Networks for Video Classification
, 2018 Spatiotemporal feature learning in videos is a fundamental problem in computer vision. This paper presents a new architecture, termed as Appearance-and-Relation Network (ARTNet), to learn video representation in an end-to-end manner.
Li, Wei +3 more
core +1 more source
, 2018 Deep models are state-of-the-art for many vision tasks including video action recognition and video captioning. Models are trained to caption or classify activity in videos, but little is known about the evidence used to make such decisions.
Bargal, Sarah Adel +5 more
core +1 more source
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
, 2017 We present an efficient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detection and recognition, especially in images.
Chong, Yong Shean, Tay, Yong Haur
core +1 more source
Summarizing First-Person Videos from Third Persons' Points of Views
, 2018 Video highlight or summarization is among interesting topics in computer vision, which benefits a variety of applications like viewing, searching, or storage.
A Betancourt +7 more
core +1 more source
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani +8 more
wiley +1 more source
Memory-Augmented Temporal Dynamic Learning for Action Recognition
, 2019 Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most ...
Wang, Dong, Wang, Qi, Yuan, Yuan
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Novel Deep Learning Models for Spatiotemporal Predictive Tasks
, 2022 Spatiotemporal Predictive Learning (SPL) is an essential research topic involving many practical and real-world applications, e.g., motion detection, video generation, precipitation forecasting, and traffic flow prediction. The problems and challenges of this field come from numerous data characteristics in both time and space domains, and they vary ...
openaire +2 more sources