相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Improved human action recognition approach based on two-stream convolutional neural network model
Congcong Liu et al.
VISUAL COMPUTER (2021)
Real-time multimodal ADL recognition using convolution neural networks
Danushka Madhuranga et al.
VISUAL COMPUTER (2021)
A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data
D. Srihari et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Local Semantic Siamese Networks for Fast Tracking
Zhiyuan Liang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping
Wenguan Wang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
Chih-Yao Ma et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2019)
Quadruplet Network With One-Shot Learning for Fast Visual Object Tracking
Xingping Dong et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
LOW DOSE ABDOMINAL CT IMAGE RECONSTRUCTION: AN UNSUPERVISED LEARNING BASED APPROACH
Shiba Kuanar et al.
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2019)
3D-CNN-Based Fused Feature Maps with LSTM Applied to Action Recognition
Sheeraz Arif et al.
FUTURE INTERNET (2019)
Supervised spatio-temporal kernel descriptor for human action recognition from RGB-depth videos
Maryam Asadi-Aghbolaghi et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
Lieyun Ding et al.
AUTOMATION IN CONSTRUCTION (2018)
Video Salient Object Detection via Fully Convolutional Networks
Wenguan Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Combining CNN streams of RGB-D and skeletal data for human activity recognition
Pushpajit Khaire et al.
PATTERN RECOGNITION LETTERS (2018)
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
Amin Ullah et al.
IEEE ACCESS (2018)
deepGesture: Deep learning-based gesture recognition scheme using motion sensors
Ji-Hae Kim et al.
DISPLAYS (2018)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning
Xinghua Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
Evaluating spatiotemporal interest point features for depth-based action recognition
Yu Zhu et al.
IMAGE AND VISION COMPUTING (2014)
Spatio-temporal feature extraction and representation for RGB-D human action recognition
Jiajia Luo et al.
PATTERN RECOGNITION LETTERS (2014)
Using unlabeled data in a sparse-coding framework for human activity recognition
Sourav Bhattacharya et al.
PERVASIVE AND MOBILE COMPUTING (2014)
3D Convolutional Neural Networks for Human Action Recognition
Shuiwang Ji et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Learning human activities and object affordances from RGB-D videos
Hema Swetha Koppula et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2013)
Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors
Mi Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2013)
Multilevel Depth and Image Fusion for Human Activity Detection
Bingbing Ni et al.
IEEE TRANSACTIONS ON CYBERNETICS (2013)
Speeded-Up Robust Features (SURF)
Herbert Bay et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2008)
分享论文
