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3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition

https://doi.org/10.1109/cvpr52729.2023.00544

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_38openalex-snapshot

Second-Order Democratic Aggregation

inferredcites →https://doi.org/10.1007/978-3-030-58565-5_45openalex-snapshot

DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition

inferredcites →https://doi.org/10.1007/978-3-030-58586-0_32openalex-snapshot

Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1007/978-3-030-69538-5_23openalex-snapshot

Few-Shot Object Detection by Second-Order Pooling

inferredcites →https://doi.org/10.1007/978-3-030-92270-2_2openalex-snapshot

Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1007/978-3-031-01587-8_7openalex-snapshot

Graph Attention Networks

inferredcites →https://doi.org/10.1007/978-3-031-19803-8_11openalex-snapshot

Uncertainty-DTW for Time Series and Sequences

inferredcites →https://doi.org/10.1007/978-3-031-20044-1_18openalex-snapshot

Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection

inferredcites →https://doi.org/10.1007/978-3-031-26316-3_19openalex-snapshot

Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition

inferredcites →https://doi.org/10.1016/j.cviu.2021.103219openalex-snapshot

Skeleton-based action recognition via spatial and temporal transformer networks

inferredcites →https://doi.org/10.1016/j.neucom.2021.05.004openalex-snapshot

Rethinking the ST-GCNs for 3D skeleton-based human action recognition

inferredcites →https://doi.org/10.1109/cvpr.2014.339openalex-snapshot

Cross-View Action Modeling, Learning, and Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.115openalex-snapshot

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

inferredcites →https://doi.org/10.1109/cvpr.2017.143openalex-snapshot

Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

inferredcites →https://doi.org/10.1109/cvpr.2019.00132openalex-snapshot

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00314openalex-snapshot

Global Second-Order Pooling Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00371openalex-snapshot

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.01230openalex-snapshot

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00022openalex-snapshot

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00026openalex-snapshot

Skeleton-Based Action Recognition With Shift Graph Convolutional Network

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00119openalex-snapshot

Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01095openalex-snapshot

Multi-Modality Cross Attention Network for Image and Sentence Matching

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01434openalex-snapshot

Context Aware Graph Convolution for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr52688.2022.00289openalex-snapshot

Self-supervised Video Transformer

inferredcites →https://doi.org/10.1109/cvpr52688.2022.00298openalex-snapshot

Revisiting Skeleton-based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01426openalex-snapshot

Masked Feature Prediction for Self-Supervised Visual Pre-Training

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01861openalex-snapshot

Kernelized Few-shot Object Detection with Efficient Integral Aggregation

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01955openalex-snapshot

InfoGCN: Representation Learning for Human Skeleton-based Action Recognition

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00603openalex-snapshot

Learning Partial Correlation based Deep Visual Representation for Image Classification

inferredcites →https://doi.org/10.1109/cvprw.2017.207openalex-snapshot

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2019.00879openalex-snapshot

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs

inferredcites →https://doi.org/10.1109/iccv48922.2021.00041openalex-snapshot

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

inferredcites →https://doi.org/10.1109/iccv48922.2021.01311openalex-snapshot

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/iccv48922.2021.01316openalex-snapshot

AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/icip.2019.8803051openalex-snapshot

Loss Switching Fusion with Similarity Search for Video Classification

inferredcites →https://doi.org/10.1109/icme.2019.00078openalex-snapshot

Graph Convolutional LSTM Model for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/icme52920.2022.9859720openalex-snapshot

CAT: Cross Attention in Vision Transformer

inferredcites →https://doi.org/10.1109/jiot.2023.3257992openalex-snapshot

Temporal Transformer Networks With Self-Supervision for Action Recognition

inferredcites →https://doi.org/10.1109/lsp.2022.3142675openalex-snapshot

MTT: Multi-Scale Temporal Transformer for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/tip.2021.3051495openalex-snapshot

Hypergraph Neural Network for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/tnnls.2022.3201518openalex-snapshot

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2016.2558148openalex-snapshot

Rank Pooling for Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2019.2916873openalex-snapshot

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

inferredcites →https://doi.org/10.1109/tpami.2021.3053765openalex-snapshot

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction

inferredcites →https://doi.org/10.1109/tpami.2021.3107160openalex-snapshot

Tensor Representations for Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2021.3107164openalex-snapshot

Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification

inferredcites →https://doi.org/10.1109/tpami.2022.3157033openalex-snapshot

Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1145/3219819.3219980openalex-snapshot

Graph Classification using Structural Attention

inferredcites →https://doi.org/10.1145/3444685.3446289openalex-snapshot

Motion-transformer

inferredcites →https://doi.org/10.1145/3474085.3475473openalex-snapshot

STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition

inferredcites →https://doi.org/10.1145/3474085.3475572openalex-snapshot

Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors

inferredcites →https://doi.org/10.1145/3512527.3531367openalex-snapshot

Selective Hypergraph Convolutional Networks for Skeleton-based Action Recognition

inferredcites →https://doi.org/10.1145/3534678.3539425openalex-snapshot

COSTA

inferredcites →https://doi.org/10.1609/aaai.v32i1.12328openalex-snapshot

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1609/aaai.v34i03.5652openalex-snapshot

Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching

inferredcites →https://doi.org/10.1609/aaai.v37i9.26336openalex-snapshot

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

inferredcites →https://doi.org/10.18653/v1/d19-1445openalex-snapshot

Revealing the Dark Secrets of BERT

inferredcites →https://doi.org/10.24963/ijcai.2020/109openalex-snapshot

Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation

inferredcites →https://doi.org/10.26190/unsworks/32608openalex-snapshot

SIMPLE SPECTRAL GRAPH CONVOLUTION

inferredcites →https://doi.org/10.3390/sym14081547openalex-snapshot

A Graph Skeleton Transformer Network for Action Recognition

inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot

Exploiting Generative AI to Scale up Intelligent Tutoring Systems

inferredcites →https://doi.org/10.48550/arxiv.1701.05432openalex-snapshot

Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition

inferredcites →https://doi.org/10.48550/arxiv.1705.06950openalex-snapshot

The Kinetics Human Action Video Dataset

inferredcites →https://doi.org/10.48550/arxiv.1711.01467openalex-snapshot

Attentional Pooling for Action Recognition

inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

inferredcites →https://doi.org/10.48550/arxiv.2104.11178openalex-snapshot

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

inferredcites →https://doi.org/10.48550/arxiv.2110.05216openalex-snapshot

High-order Tensor Pooling with Attention for Action Recognition

inferredcites →https://doi.org/10.48550/arxiv.2112.08626openalex-snapshot

Analysis and Evaluation of Kinect-based Action Recognition Algorithms

inferredcites →https://doi.org/10.48550/arxiv.2112.10570openalex-snapshot

Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.48550/arxiv.2112.12668openalex-snapshot

3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve

inferredcites →https://doi.org/10.48550/arxiv.2201.05493openalex-snapshot

Contrastive Laplacian Eigenmaps

inferredcites →https://doi.org/10.48550/arxiv.2204.00452openalex-snapshot

Vision Transformer with Cross-attention by Temporal Shift for Efficient Action Recognition

inferredcites →https://doi.org/10.52202/068431-0732openalex-snapshot

VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-Training

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Rethinking Attention Mechanism: Channel Re-Attention and Spatial Multi-Region Attention for Fine-Grained Visual Classification

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E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation

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SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition

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Interpretable Human Activity Recognition for Subtle Robbery Detection in Surveillance Videos

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DART: Deformable Adaptive Reasoning with Temporal Queries for Online Skeleton-Based Action Recognition

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Dynamic Skeleton Association Transformer for Dyadic Interaction Action Recognition

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Decoupled spatio-temporal grouping transformer for skeleton-based action recognition

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Customizing the feature modulation for visual tracking

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AnomalyNet: a spatiotemporal motion-aware CNN approach for detecting anomalies in real-world autonomous surveillance

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Defect detection in automotive glass based on modified YOLOv5 with multi-scale feature fusion and dual lightweight strategy

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A three-stream fusion network for 3D skeleton-based action recognition

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Rethinking Attention Mechanism: Channel Re-attention and Spatial Multi-region Attention for Fine-grained Visual Classification

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Multi-scale spatiotemporal topology unveiled: enhancing skeleton-based action recognition

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Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment

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Feature Hallucination for Self-supervised Action Recognition

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Deep learning for 3D skeleton-based action recognition: a comprehensive review of methods, datasets, and future directions

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SPKDB-Net: A Salient-Part Pose Keypoints-Based Dual-Branch Network for repetitive action counting

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PCT: Pose Convolutional Transformer for skeleton-based action recognition

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Synergistic Dual-Graph Co-Evolutionary Network for point-supervised temporal action localization

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A review of pedestrian action recognition methods: From general field to autonomous vehicles

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BIGC-Net: A Body Inter-intra-parts Graph Convolutional Network for repetitive action counting

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PHMG: Prompt-based Human Motion Generation for action recognition

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SemGLoC: A Semantic-guided Global-Local Contrastive framework for skeleton-based action recognition

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HO-GCN: Human–Object Adaptive Topological Interaction GCN for escalator dangerous behavior recognition

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Semantic information guided multimodal skeleton-based action recognition

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An approximate tensor singular value decomposition approach for the fast grouping of whole-body human poses

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Intra-Inter Region Adaptive Graph Convolutional Networks for skeleton-based action recognition

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Multi-Level Skeleton Self-Supervised Learning: Enhancing 3D action representation learning with Large Multimodal Models

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Modeling the skeleton-language uncertainty for 3D action recognition

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Prompt-supervised dynamic attention graph convolutional network for skeleton-based action recognition

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Language-guided temporal primitive modeling for skeleton-based action recognition

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Trunk-branch contrastive network with multi-view deformable aggregation for multi-view action recognition

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Automatic generation of labanotation based on a hybrid transformer–LSTM network with multi-scale spatio-temporal features

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GR‐Former: Graph‐reinforcement transformer for skeleton‐based driver action recognition

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Human activity recognition: A review of deep learning‐based methods

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3sG: Three‐stage guidance for indoor human action recognition

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Privacy-Safe Action Recognition via Cross-Modality Distillation

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CLS-GatedFusion: Class Token Controlled Cross-Attention for Multimodal Action Recognition

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LLMs are Good Action Recognizers

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Self-Supervised Learning Scheme for Human Activity Recognition with Virtual Skeletal Data Based on 3D Motion Generation

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Skarimva: Skeleton-based Action Recognition is a Multi-view Application

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Individual Action Detection using Yolov9 and Deep Neural Network

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Flow Dynamics Correction for Action Recognition

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High-Order Tensor Pooling with Attention for Action Recognition

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Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-Shot Skeleton-Based Action Recognition

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A Graph Learning Based Multi-Modal Video Action Recognition

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Multi-View Analysis: Back to the Classic with A NN Twist

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A Hybrid Multi-Perspective Complementary Model for Human Skeleton-Based Action Recognition

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Body-Hand Modality Expertized Networks with Cross-attention for Fine-grained Skeleton Action Recognition

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TDSN-GCN: Transformerify Overall Structure Decaying Static Graph Embedding NAS-Guided GCN for Skeleton Action Recognition

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Informative Sample Selection Model for Skeleton-Based Action Recognition With Limited Training Samples

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Robust Motion-Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition

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GRA: Graph Representation Alignment for Semi-Supervised Action Recognition

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TODO-Net: Temporally Observed Domain Contrastive Network for 3-D Early Action Prediction

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One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

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InfoGCN++: Learning Representation by Predicting the Future for Online Skeleton-Based Action Recognition

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Autoregressive Adaptive Hypergraph Transformer for Skeleton-Based Activity Recognition

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Unsupervised 3D Skeleton-Based Action Recognition using Cross-Attention with Conditioned Generation Capabilities

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SSTAR: Skeleton-Based Spatio-Temporal Action Recognition for Intelligent Video Surveillance and Suicide Prevention in Metro Stations

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Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer

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Joint Mixing Data Augmentation for Skeleton-Based Action Recognition

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Evolving Skeletons: Motion Dynamics in Action Recognition

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Do Language Models Understand Time?

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The Journey of Action Recognition

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Skeleton Compression and Complementary Enhanced Fusion Under Branch-Stage Supervision for Human Action Recognition

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A Comparative Study of Supervised and Unsupervised Approaches in Human Activity Analysis Based on Skeleton Data

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Skeleton-based Privacy-Preserving Smart Activity Sensor for Senior Care and Patient Monitoring

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Retinal Fusion Network with Contrastive Learning for Imbalanced Multi-Class Retinal Disease Recognition in FFA

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MAFormer: A cross-channel spatio-temporal feature aggregation method for human action recognition

inferred← citeshttps://doi.org/10.3390/app15084155openalex-snapshot

Fast Normalization for Bilinear Pooling via Eigenvalue Regularization

inferred← citeshttps://doi.org/10.3390/electronics13163249openalex-snapshot

Augmented Feature Diffusion on Sparsely Sampled Subgraph

inferred← citeshttps://doi.org/10.3390/electronics14183610openalex-snapshot

ActionMamba: Action Spatial–Temporal Aggregation Network Based on Mamba and GCN for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.3390/info15050290openalex-snapshot

A Lightweight Face Detector via Bi-Stream Convolutional Neural Network and Vision Transformer

inferred← citeshttps://doi.org/10.3390/s25103146openalex-snapshot

Spatial–Temporal Heatmap Masked Autoencoder for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.3390/s25134028openalex-snapshot

A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities

inferred← citeshttps://doi.org/10.34133/cbsystems.0100openalex-snapshot

A Survey on 3D Skeleton-Based Action Recognition Using Learning Method

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Leveraging AI for Enhanced Brand Intellectual Property Protection in Online Marketplaces

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