Copertina

CascadeFormer: A Family of Two-stage Cascading Transformers for Skeleton-based Human Action Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Peng, Yusen, Yilmaz, Alper
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition
di: Li, Yue, et al.
Pubblicazione: (2025)

Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition
di: Liu, Zhendong, et al.
Pubblicazione: (2024)

FreqMixFormerV2: Lightweight Frequency-aware Mixed Transformer for Human Skeleton Action Recognition
di: Wu, Wenhan, et al.
Pubblicazione: (2024)

SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
di: Perera, Shehan, et al.
Pubblicazione: (2024)

Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
di: Yang, Yijie, et al.
Pubblicazione: (2024)

SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
di: Do, Jeonghyeok, et al.
Pubblicazione: (2024)

SBF: An Effective Representation to Augment Skeleton for Video-based Human Action Recognition
di: Peng, Zhuoxuan, et al.
Pubblicazione: (2026)

LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition
di: Oraki, Soroush, et al.
Pubblicazione: (2024)

S3T-Former: A Purely Spike-Driven State-Space Topology Transformer for Skeleton Action Recognition
di: Zheng, Naichuan, et al.
Pubblicazione: (2026)

IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition
di: Wang, Qingtian, et al.
Pubblicazione: (2021)

Active Generation Network of Human Skeleton for Action Recognition
di: Liu, Long, et al.
Pubblicazione: (2024)

SkeletonAgent: An Agentic Interaction Framework for Skeleton-based Action Recognition
di: Liu, Hongda, et al.
Pubblicazione: (2025)

Controllable Complex Human Motion Video Generation via Text-to-Skeleton Cascades
di: Taghipour, Ashkan, et al.
Pubblicazione: (2026)

Efficient and Accurate Scene Text Recognition with Cascaded-Transformers
di: Ozkan, Savas, et al.
Pubblicazione: (2025)

Human Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR
di: Mehmood, Faisal, et al.
Pubblicazione: (2024)

BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket Sports
di: Chang, Jing-Yuan
Pubblicazione: (2025)

SkeletonContext: Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition
di: Wang, Ning, et al.
Pubblicazione: (2026)

A Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition
di: Yin, Ruoqi, et al.
Pubblicazione: (2023)

MS-CLR: Multi-Skeleton Contrastive Learning for Human Action Recognition
di: Kiray, Mert, et al.
Pubblicazione: (2025)

InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
di: Chi, Seunggeun, et al.
Pubblicazione: (2023)

Joint Temporal Pooling for Improving Skeleton-based Action Recognition
di: Gunasekara, Shanaka Ramesh, et al.
Pubblicazione: (2024)

Skeleton-Based Human Action Recognition with Noisy Labels
di: Xu, Yi, et al.
Pubblicazione: (2024)

Towards Universal Skeleton-Based Action Recognition
di: Kuang, Jidong, et al.
Pubblicazione: (2026)

Generative Data Augmentation for Skeleton Action Recognition
di: Dong, Xu, et al.
Pubblicazione: (2026)

Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
di: Liu, Hanchao, et al.
Pubblicazione: (2024)

Skarimva: Skeleton-based Action Recognition is a Multi-view Application
di: Bermuth, Daniel, et al.
Pubblicazione: (2026)

Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
di: Liu, Hongda, et al.
Pubblicazione: (2023)

Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition
di: Liu, Jinfu, et al.
Pubblicazione: (2024)

An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition
di: Xu, Haojun, et al.
Pubblicazione: (2024)

CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer
di: Sivakumar, Srivathsan, et al.
Pubblicazione: (2025)

TSkel-Mamba: Temporal Dynamic Modeling via State Space Model for Human Skeleton-based Action Recognition
di: Liu, Yanan, et al.
Pubblicazione: (2025)

Variational Contrastive Learning for Skeleton-based Action Recognition
di: Nguyen, Dang Dinh, et al.
Pubblicazione: (2026)

3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework
di: Zhang, Fan, et al.
Pubblicazione: (2024)

Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
di: Ray, Abhisek, et al.
Pubblicazione: (2024)

PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition
di: Lee, Sanghyeon, et al.
Pubblicazione: (2026)

3D Skeleton-Based Action Recognition: A Review
di: Liu, Mengyuan, et al.
Pubblicazione: (2025)

Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment
di: Kuang, Jidong, et al.
Pubblicazione: (2024)

ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition
di: Wang, Chuanchuan, et al.
Pubblicazione: (2024)

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition
di: Do, Jeonghyeok, et al.
Pubblicazione: (2024)

UniSTFormer: Unified Spatio-Temporal Lightweight Transformer for Efficient Skeleton-Based Action Recognition
di: Wu, Wenhan, et al.
Pubblicazione: (2025)