:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yin, Ruoqi, Yin, Jianqin
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2401.00409
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
par: Liu, Jinfu, et autres
Publié: (2024)

Leveraging the Video-level Semantic Consistency of Event for Audio-visual Event Localization
par: Jiang, Yuanyuan, et autres
Publié: (2022)

Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition
par: Wen, Yuhang, et autres
Publié: (2023)

A Generically Contrastive Spatiotemporal Representation Enhancement for 3D Skeleton Action Recognition
par: Zhang, Shaojie, et autres
Publié: (2023)

Improving Skeleton-based Action Recognition with Interactive Object Information
par: Wen, Hao, et autres
Publié: (2025)

SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition
par: Zhang, Shaojie, et autres
Publié: (2023)

Variational Contrastive Learning for Skeleton-based Action Recognition
par: Nguyen, Dang Dinh, et autres
Publié: (2026)

Hybrid(Transformer+CNN)-based Polyp Segmentation
par: Baduwal, Madan
Publié: (2025)

ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
par: Naimi, Safwen, et autres
Publié: (2024)

Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning
par: Mosconi, Matteo, et autres
Publié: (2024)

Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition
par: Ilyas, Talha, et autres
Publié: (2026)

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
par: Wang, Xiao, et autres
Publié: (2023)

S3T-Former: A Purely Spike-Driven State-Space Topology Transformer for Skeleton Action Recognition
par: Zheng, Naichuan, et autres
Publié: (2026)

A Framework Combining 3D CNN and Transformer for Video-Based Behavior Recognition
par: Zhang, Xiuliang, et autres
Publié: (2025)

Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-based Action Recognition
par: Wu, Wenhan, et autres
Publié: (2025)

Explainable Fall Detection for Elderly Monitoring via Temporally Stable SHAP in Skeleton-Based Human Activity Recognition
par: Saleh, Mohammad, et autres
Publié: (2026)

Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
par: Zhu, Jingmin, et autres
Publié: (2025)

Pig aggression classification using CNN, Transformers and Recurrent Networks
par: Souza, Junior Silva, et autres
Publié: (2024)

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition
par: Lin, Lilang, et autres
Publié: (2024)

Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
par: Wang, Jingyao, et autres
Publié: (2024)

Signal-SGN++: Topology-Enhanced Time-Frequency Spiking Graph Network for Skeleton-Based Action Recognition
par: Zheng, Naichuan, et autres
Publié: (2025)

Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
par: Rao, Haocong, et autres
Publié: (2024)

EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
par: Doulfoukar, Youssef, et autres
Publié: (2024)

Placenta Accreta Spectrum Detection Using an MRI-based Hybrid CNN-Transformer Model
par: Ali, Sumaiya, et autres
Publié: (2025)

Adaptive Agent Selection and Interaction Network for Image-to-point cloud Registration
par: Cheng, Zhixin, et autres
Publié: (2025)

Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
par: Liang, Zeyu, et autres
Publié: (2024)

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
par: Wang, Jian, et autres
Publié: (2024)

M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
par: Li, Yanshan, et autres
Publié: (2026)

VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment
par: Cheng, Kai, et autres
Publié: (2026)

RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model
par: Alomar, Khaled, et autres
Publié: (2024)

Evolving Skeletons: Motion Dynamics in Action Recognition
par: Qiu, Jushang, et autres
Publié: (2025)

CTA-Net: A CNN-Transformer Aggregation Network for Improving Multi-Scale Feature Extraction
par: Meng, Chunlei, et autres
Publié: (2024)

Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach
par: Laidoudi, Salah Eddine, et autres
Publié: (2024)

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
par: Djoumessi, Kerol, et autres
Publié: (2025)

An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition
par: Lai, Song-Jiang, et autres
Publié: (2024)

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
par: Yang, Siyuan, et autres
Publié: (2023)

Road Traffic Sign Recognition method using Siamese network Combining Efficient-CNN based Encoder
par: Xi, Zhenghao, et autres
Publié: (2025)

Kinematics Modeling Network for Video-based Human Pose Estimation
par: Dang, Yonghao, et autres
Publié: (2022)

TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognition
par: Liu, Feng, et autres
Publié: (2025)

Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation
par: Ye, Mingrui, et autres
Publié: (2025)