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TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_2openalex-snapshot
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
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High Accuracy Optical Flow Estimation Based on a Theory for Warping
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A Duality Based Approach for Realtime TV-L 1 Optical Flow
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Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice
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Combined trajectories for action recognition based on saliency detection and motion boundary
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Hierarchical Multi-scale Attention Networks for action recognition
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
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Action recognition by dense trajectories
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Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
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Long-term recurrent convolutional networks for visual recognition and description
inferredcites →https://doi.org/10.1109/cvpr.2015.7299059openalex-snapshot
Action recognition with trajectory-pooled deep-convolutional descriptors
inferredcites →https://doi.org/10.1109/cvpr.2015.7299101openalex-snapshot
Beyond short snippets: Deep networks for video classification
inferredcites →https://doi.org/10.1109/cvpr.2016.117openalex-snapshot
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
inferredcites →https://doi.org/10.1109/cvpr.2016.215openalex-snapshot
VLAD3: Encoding Dynamics of Deep Features for Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.219openalex-snapshot
A Key Volume Mining Deep Framework for Action Recognition
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Rethinking the Inception Architecture for Computer Vision
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Jointly Modeling Embedding and Translation to Bridge Video and Language
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Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.168openalex-snapshot
Deep Temporal Linear Encoding Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.226openalex-snapshot
Spatiotemporal Pyramid Network for Video Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.337openalex-snapshot
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
inferredcites →https://doi.org/10.1109/cvpr.2017.787openalex-snapshot
Spatiotemporal Multiplier Networks for Video Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00710openalex-snapshot
Attend and Interact: Higher-Order Object Interactions for Video Understanding
inferredcites →https://doi.org/10.1109/cvpr.2018.00817openalex-snapshot
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
inferredcites →https://doi.org/10.1109/icassp.2016.7472030openalex-snapshot
Multiple instance discriminative dictionary learning for action recognition
inferredcites →https://doi.org/10.1109/icassp.2017.7952427openalex-snapshot
Action-vectors: Unsupervised movement modeling for action recognition
inferredcites →https://doi.org/10.1109/icassp.2017.7952431openalex-snapshot
Realistic human action recognition: When CNNS meet LDS
inferredcites →https://doi.org/10.1109/icassp.2017.7952460openalex-snapshot
A compact pairwise trajectory representation for action recognition
inferredcites →https://doi.org/10.1109/icassp.2017.7952634openalex-snapshot
Efficient pooling of image based CNN features for action recognition in videos
inferredcites →https://doi.org/10.1109/icassp17257.2015openalex-snapshot
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp33580.2016openalex-snapshot
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2011.6126543openalex-snapshot
HMDB: A large video database for human motion recognition
inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot
Action Recognition with Improved Trajectories
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.522openalex-snapshot
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2017.614openalex-snapshot
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iccv17851.2011openalex-snapshot
2011 International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv33071.2015openalex-snapshot
2015 IEEE International Conference on Computer Vision (ICCV)
inferredcites →https://doi.org/10.1109/icip.2016.7532921openalex-snapshot
Tube ConvNets: Better exploiting motion for action recognition
inferredcites →https://doi.org/10.1109/icip.2016.7532925openalex-snapshot
Saliency-context two-stream convnets for action recognition
inferredcites →https://doi.org/10.1109/tcsvt.2016.2576761openalex-snapshot
Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition
inferredcites →https://doi.org/10.1109/tcsvt.2017.2665359openalex-snapshot
Two-Stream Dictionary Learning Architecture for Action Recognition
inferredcites →https://doi.org/10.1109/tcsvt.2017.2682196openalex-snapshot
Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition
inferredcites →https://doi.org/10.1145/2964284.2964328openalex-snapshot
Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.48550/arxiv.1503.08909openalex-snapshot
Beyond Short Snippets: Deep Networks for Video Classification
inferredcites →https://doi.org/10.48550/arxiv.1604.06573openalex-snapshot
Convolutional Two-Stream Network Fusion for Video Action Recognition
inferredcites →https://doi.org/10.48550/arxiv.1611.02155openalex-snapshot
Spatiotemporal Residual Networks for Video Action Recognition
inferredcites →https://doi.org/10.5244/c.23.124openalex-snapshot
Evaluation of local spatio-temporal features for action recognition
inferredcites →https://doi.org/10.5244/c.29.60openalex-snapshot
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
inferredcites →https://doi.org/10.5244/c.30.108openalex-snapshot
Two-Stream SR-CNNs for Action Recognition in Videos
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Modeling Temporal Visual Salience for Human Action Recognition Enabled Visual Anonymity Preservation
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Human Action Recognition Based on Transfer Learning Approach
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Video Action Understanding
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Improving Human Activity Recognition Integrating LSTM With Different Data Sources: Features, Object Detection and Skeleton Tracking
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Polygonized Silhouettes and Polygon Coding Based Feature Representation for Human Action Recognition
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ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos
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A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition
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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning
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A Universal Action Space for General Behavior Analysis
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Human Motion Recognition for Industrial Human-Robot Collaboration based on a Novel Skeleton Descriptor
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Dynamic System Modeling Based on Recurrent Neural Network
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Researches based on neural network about optimizing combination of speaker verification
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Sparse Transformer-Based Algorithm for Long-Short Temporal Association Action Recognition
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Compressed Video Action Recognition
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Attend and Interact: Higher-Order Object Interactions for Video Understanding
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Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
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Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation
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Event Recognition Based on 3D Convolutional Networks
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Implementation of convolutional-LSTM network based on CPU, GPU and pynq-zl board
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A Comparative Analysis of Deep Learning Networks for Video-Based Human Action Recognition
inferred← citeshttps://doi.org/10.1109/eecs.2017.91openalex-snapshot
Hand Pose Estimation with CNN-RNN
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Spatial-Temporal Network Model for Action Recognition Based on Keyframe Extraction
inferred← citeshttps://doi.org/10.1109/elticom57747.2022.10038007openalex-snapshot
Identification of Medicinal Mushrooms using Computer Vision and Convolutional Neural Network
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Micro-DualNet: Dual-Path Spatio–Temporal Network for Micro-Action Recognition
inferred← citeshttps://doi.org/10.1109/hnicem60674.2023.10589123openalex-snapshot
A Comparative Study of MobileNetv2 and VGG-16 Convolutional Neural Network Architectures for Identification of Medicinal Mushrooms
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Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding
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A Context-aware Architecture for Energy Saving in Smart Classroom Environments
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Proposing Gesture Recognition Algorithm Using Two-Stream Convolutional Network and LSTM
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Layout-Induced Video Representation for Recognizing Agent-in-Place Actions
inferred← citeshttps://doi.org/10.1109/iccv.2019.00642openalex-snapshot
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
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Video Action Recognition with Adaptive Zooming Using Motion Residuals
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Defending Water Treatment Networks: Exploiting Spatio-Temporal Effects for Cyber Attack Detection
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A Comparative Study of Few-Shot Learning Methods for 1-D ECG Time-series Classification
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Efficient Action Recognition with Introducing R(2+1)D Convolution to Improved Transformer
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A Study on a Deep Learning-Based Long-Term Bad Driving Behavior Recognition
inferred← citeshttps://doi.org/10.1109/icit48102.2019.00051openalex-snapshot
Diet and Health Advisory Mechanism from Facial Features Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icivc58118.2023.10269961openalex-snapshot
Recognition of Abnormal Behaviors of Elevator Passengers Based on Temporal Shift and Time Reinforcement Module
inferred← citeshttps://doi.org/10.1109/icmtma.2019.00092openalex-snapshot
A Human Action Recognition Model Inspired by Multiple Scale Temporal Segments Model Fusion
inferred← citeshttps://doi.org/10.1109/icpics50287.2020.9202322openalex-snapshot
Multi-Streams Network for Action Recognition
inferred← citeshttps://doi.org/10.1109/icpr.2018.8545251openalex-snapshot
Spatio-Temporal Laban Features for Dance Style Recognition
inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743315openalex-snapshot
Improving BoTNet's Abnormal Behavior Detection in Public Places
inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8851993openalex-snapshot
Adversarial Action Data Augmentation for Similar Gesture Action Recognition
inferred← citeshttps://doi.org/10.1109/ipta.2019.8936075openalex-snapshot
Rat Grooming Behavior Detection with Two-stream Convolutional Networks
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Idling Car Detection with ConvNets in Infrared Image Sequences
inferred← citeshttps://doi.org/10.1109/jetcas.2019.2935004openalex-snapshot
Structured Learning for Action Recognition in Videos
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Toward Wearable Sensor-Based Human Activity Recognition: A Survey
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A Two-Stage Modality Fusion Approach for Recognizing Human Actions
inferred← citeshttps://doi.org/10.1109/jsyst.2020.3001680openalex-snapshot
A Cross-Modal Learning Approach for Recognizing Human Actions
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Action Recognition Based on Linear Dynamical Systems with Deep Features in Videos
inferred← citeshttps://doi.org/10.1109/smc53992.2023.10393912openalex-snapshot
Human Action Recognition Using Multi-Stream Fusion and Hybrid Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/ssci.2017.8285296openalex-snapshot
DMMLN: A deep multi-task and metric learning based network for video classification
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3489414openalex-snapshot
Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network
inferred← citeshttps://doi.org/10.1109/tbme.2020.3010472openalex-snapshot
Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions
inferred← citeshttps://doi.org/10.1109/tbme.2021.3049739openalex-snapshot
Video-Based Facial Weakness Analysis
inferred← citeshttps://doi.org/10.1109/tce.2024.3373824openalex-snapshot
A Hybrid Transformer Framework for Efficient Activity Recognition Using Consumer Electronics
inferred← citeshttps://doi.org/10.1109/thms.2022.3144951openalex-snapshot
Deep Object Detector With Attentional Spatiotemporal LSTM for Space Human–Robot Interaction
inferred← citeshttps://doi.org/10.1109/tip.2017.2778563openalex-snapshot
Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos
inferred← citeshttps://doi.org/10.1109/tip.2022.3228156openalex-snapshot
Pose-Appearance Relational Modeling for Video Action Recognition
inferred← citeshttps://doi.org/10.1109/tits.2019.2945333openalex-snapshot
Intelligent Hazard-Risk Prediction Model for Train Control Systems
inferred← citeshttps://doi.org/10.1109/tits.2026.3675025openalex-snapshot
FE-CTGCN: Topology Channel Graph Convolution Network Based on Feature Enhancement for Drowsiness Driving Detection
inferred← citeshttps://doi.org/10.1109/tnsre.2018.2884641openalex-snapshot
Learning Spatial–Spectral–Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
inferred← citeshttps://doi.org/10.1109/tpami.2020.3029554openalex-snapshot
Purely Attention Based Local Feature Integration for Video Classification
inferred← citeshttps://doi.org/10.1109/tpami.2024.3484658openalex-snapshot
Prompt Tuning of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition
inferred← citeshttps://doi.org/10.1109/wacv.2018.00047openalex-snapshot
A Generative Approach to Zero-Shot and Few-Shot Action Recognition
inferred← citeshttps://doi.org/10.1109/wacv.2019.00152openalex-snapshot
FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB Camera
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093535openalex-snapshot
Action Segmentation with Mixed Temporal Domain Adaptation
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00279openalex-snapshot
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
inferred← citeshttps://doi.org/10.1109/wcica.2018.8630370openalex-snapshot
Depth MHI Based Deep Learning Model for Human Action Recognition
inferred← citeshttps://doi.org/10.1111/exsy.13382openalex-snapshot
Object detection and classification from compressed video streams
inferred← citeshttps://doi.org/10.1111/mice.12419openalex-snapshot
Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
inferred← citeshttps://doi.org/10.1117/1.jei.28.2.023009openalex-snapshot
Spatiotemporal information deep fusion network with frame attention mechanism for video action recognition
inferred← citeshttps://doi.org/10.1117/12.2309445openalex-snapshot
A deep learning pipeline for Indian dance style classification
inferred← citeshttps://doi.org/10.1134/s1064230722020095openalex-snapshot
Recognition of Human Movements From Video Data
inferred← citeshttps://doi.org/10.1142/s0218001420400017openalex-snapshot
Human Action Recognition Based on a Spatio-Temporal Video Autoencoder
inferred← citeshttps://doi.org/10.1145/3376067.3376101openalex-snapshot
Dangerous Driving Behavior Detection with Attention Mechanism
inferred← citeshttps://doi.org/10.1145/3617695.3617728openalex-snapshot
An Attention-based Audio-visual Fusion Method for Short Video Classification
inferred← citeshttps://doi.org/10.1145/3700523.3700619openalex-snapshot
Object Detection Method Based on CNN and Camera Calibration
inferred← citeshttps://doi.org/10.1155/2021/6670087openalex-snapshot
The Multidimensional Motion Features of Spatial Depth Feature Maps: An Effective Motion Information Representation Method for Video-Based Action Recognition
inferred← citeshttps://doi.org/10.1155/2022/3454167openalex-snapshot
Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos
inferred← citeshttps://doi.org/10.1155/2022/4879942openalex-snapshot
Class-Incremental Learning on Video-Based Action Recognition by Distillation of Various Knowledge
inferred← citeshttps://doi.org/10.11606/t.55.2021.tde-11082021-112227openalex-snapshot
Activity recognition and bioinspired approaches for robotics in intelligent environments
inferred← citeshttps://doi.org/10.1186/s13634-024-01156-wopenalex-snapshot
Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences
inferred← citeshttps://doi.org/10.1190/int-2018-0250.1openalex-snapshot
Semisupervised sequence modeling for elastic impedance inversion
inferred← citeshttps://doi.org/10.1190/segam2018-2995752.1openalex-snapshot
Petrophysical property estimation from seismic data using recurrent neural networks
inferred← citeshttps://doi.org/10.12783/dtcse/ccnt2018/24746openalex-snapshot
Temporal-scale Convolutional Networks for Human Action Recognition Based on Key-Frame Extraction
inferred← citeshttps://doi.org/10.1371/journal.pone.0265115openalex-snapshot
STA-TSN: Spatial-Temporal Attention Temporal Segment Network for action recognition in video
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33019167openalex-snapshot
Memory-Augmented Temporal Dynamic Learning for Action Recognition
inferred← citeshttps://doi.org/10.17559/tv-20180620082101openalex-snapshot
Application of Video Scene Semantic Recognition Technology in Smart Video
inferred← citeshttps://doi.org/10.17762/ijritcc.v10i2s.5932openalex-snapshot
Spatio-Temporal Human Action Recognition Model using Deep Learning Techniques
inferred← citeshttps://doi.org/10.17771/pucrio.acad.47770openalex-snapshot
MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5559830/v1openalex-snapshot
Multistream Fusion and Relational Network for Recognizing Actions from Skeleton Data
inferred← citeshttps://doi.org/10.21279/1454-864x-23-i2-020openalex-snapshot
The use of Scene Text Detection methods for news crawl extraction
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