Imagen de Portada

A Framework Combining 3D CNN and Transformer for Video-Based Behavior Recognition

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Xiuliang, Nyamasvisva, Tadiwa Elisha, Liu, Chuntao
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
por: Wang, Xiao, et al.
Publicado: (2023)

Road Traffic Sign Recognition method using Siamese network Combining Efficient-CNN based Encoder
por: Xi, Zhenghao, et al.
Publicado: (2025)

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

ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
por: Yin, Jun, et al.
Publicado: (2025)

LoViT: Long Video Transformer for Surgical Phase Recognition
por: Liu, Yang, et al.
Publicado: (2023)

GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
por: Ding, Chuntao, et al.
Publicado: (2025)

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
por: Liu, Ji, et al.
Publicado: (2024)

Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework
por: Thalhammer, Johannes, et al.
Publicado: (2026)

Pre-Trained CNN Architecture for Transformer-Based Image Caption Generation Model
por: Dufera, Amanuel Tafese
Publicado: (2025)

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
por: Wang, Jian, et al.
Publicado: (2024)

CTA-Net: A CNN-Transformer Aggregation Network for Improving Multi-Scale Feature Extraction
por: Meng, Chunlei, et al.
Publicado: (2024)

Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos
por: Rodriguez-Juan, Javier, et al.
Publicado: (2025)

Construction Site Scaffolding Completeness Detection Based on Mask R-CNN and Hough Transform
por: Lin, Pei-Hsin, et al.
Publicado: (2025)

A Full-Stage Refined Proposal Algorithm for Suppressing False Positives in Two-Stage CNN-Based Detection Methods
por: Guo, Qiang, et al.
Publicado: (2025)

CNN2GNN: How to Bridge CNN with GNN
por: Jiao, Ziheng, et al.
Publicado: (2024)

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
por: Elisha, Yehonatan, et al.
Publicado: (2025)

3D Motion Perception of Binocular Vision Target with PID-CNN
por: Shi, Jiazhao, et al.
Publicado: (2025)

EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
por: Doulfoukar, Youssef, et al.
Publicado: (2024)

Dynamic LIBRAS Gesture Recognition via CNN over Spatiotemporal Matrix Representation
por: Moreira, Jasmine
Publicado: (2026)

A Survey on Backbones for Deep Video Action Recognition
por: Tang, Zixuan, et al.
Publicado: (2024)

Pig aggression classification using CNN, Transformers and Recurrent Networks
por: Souza, Junior Silva, et al.
Publicado: (2024)

Predicting 3D Motion from 2D Video for Behavior-Based VR Biometrics
por: Li, Mingjun, et al.
Publicado: (2025)

SV3.3B: A Sports Video Understanding Model for Action Recognition
por: Kodathala, Sai Varun, et al.
Publicado: (2025)

VG4D: Vision-Language Model Goes 4D Video Recognition
por: Deng, Zhichao, et al.
Publicado: (2024)

UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer
por: Wang, Haoxuan, et al.
Publicado: (2025)

A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
por: Shankar, Kaaustaaub, et al.
Publicado: (2026)

Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach
por: Laidoudi, Salah Eddine, et al.
Publicado: (2024)

Exploring Ordinal Bias in Action Recognition for Instructional Videos
por: Kim, Joochan, et al.
Publicado: (2025)

A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition
por: Zhang, Jinghua, et al.
Publicado: (2023)

State Space Model Meets Transformer: A New Paradigm for 3D Object Detection
por: Wang, Chuxin, et al.
Publicado: (2025)

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
por: Zhang, Tianyuan, et al.
Publicado: (2024)

How Far are AI-generated Videos from Simulating the 3D Visual World: A Learned 3D Evaluation Approach
por: Chang, Chirui, et al.
Publicado: (2024)

Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection
por: Tang, Liang, et al.
Publicado: (2026)

Hybrid CNN-ViT Framework for Motion-Blurred Scene Text Restoration
por: Rashid, Umar, et al.
Publicado: (2025)

Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
por: Yang, Xianghui, et al.
Publicado: (2024)

Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection
por: Tao, Ye, et al.
Publicado: (2025)

A Clinically Interpretable Deep CNN Framework for Early Chronic Kidney Disease Prediction Using Grad-CAM-Based Explainable AI
por: Ayub, Anas Bin, et al.
Publicado: (2025)

Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets
por: Hunyuan3D, Team, et al.
Publicado: (2025)

On Denoising Walking Videos for Gait Recognition
por: Jin, Dongyang, et al.
Publicado: (2025)

Exploring Explainability in Video Action Recognition
por: Saha, Avinab, et al.
Publicado: (2024)