Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition
Authors
Keywords
-
Journal
ACM Transactions on Multimedia Computing Communications and Applications
Volume 17, Issue 3, Pages 1-24
Publisher
Association for Computing Machinery (ACM)
Online
2021-07-22
DOI
10.1145/3441628
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets
- (2019) Kuldeep Singh et al. NEUROCOMPUTING
- Image representation of pose-transition feature for 3D skeleton-based action recognition
- (2019) Thien Huynh-The et al. INFORMATION SCIENCES
- Exploiting deep residual networks for human action recognition from skeletal data
- (2018) Huy-Hieu Pham et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks
- (2018) Yonghong Hou et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution
- (2018) Yunlong Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel
- (2018) Dinesh Kumar Vishwakarma et al. VISUAL COMPUTER
- A review of state-of-the-art techniques for abnormal human activity recognition
- (2018) Chhavi Dhiman et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Key-Skeleton-Pattern Mining on 3D Skeletons Represented by Lie Group for Action Recognition
- (2018) Guang Li et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
- (2017) Serena Yeung et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Enhanced skeleton visualization for view invariant human action recognition
- (2017) Mengyuan Liu et al. PATTERN RECOGNITION
- Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition
- (2016) Yong Du et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories
- (2016) Boulbaba Ben Amor et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A novel hierarchical framework for human action recognition
- (2016) Hongzhao Chen et al. PATTERN RECOGNITION
- Accurate 3D action recognition using learning on the Grassmann manifold
- (2015) Rim Slama et al. PATTERN RECOGNITION
- 3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold
- (2015) Maxime Devanne et al. IEEE Transactions on Cybernetics
- Learning Actionlet Ensemble for 3D Human Action Recognition
- (2013) Jiang Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More