Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ziaeetabar, Fatemeh, Wörgötter, Florentin |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
par: Ziaeetabar, Fatemeh
Publié: (2025)
par: Ziaeetabar, Fatemeh
Publié: (2025)
EfficientGFormer: Multimodal Brain Tumor Segmentation via Pruned Graph-Augmented Transformer
par: Ziaeetabar, Fatemeh
Publié: (2025)
par: Ziaeetabar, Fatemeh
Publié: (2025)
Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains
par: Ziaeetabar, Fatemeh
Publié: (2026)
par: Ziaeetabar, Fatemeh
Publié: (2026)
Beyond Sequences: A Benchmark for Atomic Hand-Object Interaction Using a Static RNN Encoder
par: Movahed, Yousef Azizi, et autres
Publié: (2025)
par: Movahed, Yousef Azizi, et autres
Publié: (2025)
DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection
par: Noghredeh, Amirhossein Khadivi, et autres
Publié: (2025)
par: Noghredeh, Amirhossein Khadivi, et autres
Publié: (2025)
Leveraging Foundation Model Automatic Data Augmentation Strategies and Skeletal Points for Hands Action Recognition in Industrial Assembly Lines
par: Wu, Liang, et autres
Publié: (2024)
par: Wu, Liang, et autres
Publié: (2024)
Leveraging Temporal Contextualization for Video Action Recognition
par: Kim, Minji, et autres
Publié: (2024)
par: Kim, Minji, et autres
Publié: (2024)
Comparison of marker-less 2D image-based methods for infant pose estimation
par: Jahn, Lennart, et autres
Publié: (2024)
par: Jahn, Lennart, et autres
Publié: (2024)
Leveraging Generic Foundation Models for Multimodal Surgical Data Analysis
par: Pezold, Simon, et autres
Publié: (2025)
par: Pezold, Simon, et autres
Publié: (2025)
Patch as Node: Human-Centric Graph Representation Learning for Multimodal Action Recognition
par: Liang, Zeyu, et autres
Publié: (2025)
par: Liang, Zeyu, et autres
Publié: (2025)
Leveraging CLIP Encoder for Multimodal Emotion Recognition
par: Song, Yehun, et autres
Publié: (2025)
par: Song, Yehun, et autres
Publié: (2025)
An Improved Graph Pooling Network for Skeleton-Based Action Recognition
par: Wu, Cong, et autres
Publié: (2024)
par: Wu, Cong, et autres
Publié: (2024)
From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation
par: Liu, Xin, et autres
Publié: (2024)
par: Liu, Xin, et autres
Publié: (2024)
Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
par: Qian, Yang, et autres
Publié: (2024)
par: Qian, Yang, et autres
Publié: (2024)
Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization
par: Peng, Jingwei, et autres
Publié: (2025)
par: Peng, Jingwei, et autres
Publié: (2025)
Leveraging Medical Foundation Model Features in Graph Neural Network-Based Retrieval of Breast Histopathology Images
par: Saeidi, Nematollah, et autres
Publié: (2024)
par: Saeidi, Nematollah, et autres
Publié: (2024)
Graph-Based Multimodal and Multi-view Alignment for Keystep Recognition
par: Romero, Julia Lee, et autres
Publié: (2025)
par: Romero, Julia Lee, et autres
Publié: (2025)
ALow-Cost Real-Time Framework for Industrial Action Recognition Using Foundation Models
par: Wang, Zhicheng, et autres
Publié: (2024)
par: Wang, Zhicheng, et autres
Publié: (2024)
Foundation Model for Skeleton-Based Human Action Understanding
par: Wang, Hongsong, et autres
Publié: (2025)
par: Wang, Hongsong, et autres
Publié: (2025)
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOT
par: Faber, Niels G., et autres
Publié: (2024)
par: Faber, Niels G., et autres
Publié: (2024)
An Effective End-to-End Solution for Multimodal Action Recognition
par: Wang, Songping, et autres
Publié: (2025)
par: Wang, Songping, et autres
Publié: (2025)
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action Recognition
par: Wang, Junyi, et autres
Publié: (2023)
par: Wang, Junyi, et autres
Publié: (2023)
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
par: Benavent-Lledo, Manuel, et autres
Publié: (2024)
par: Benavent-Lledo, Manuel, et autres
Publié: (2024)
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter
par: Liu, Chao, et autres
Publié: (2024)
par: Liu, Chao, et autres
Publié: (2024)
MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition
par: Zheng, Naichuan, et autres
Publié: (2024)
par: Zheng, Naichuan, et autres
Publié: (2024)
Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
par: Wang, Jingyao, et autres
Publié: (2024)
par: Wang, Jingyao, et autres
Publié: (2024)
Multimodal Knowledge Distillation for Egocentric Action Recognition Robust to Missing Modalities
par: Santos-Villafranca, Maria, et autres
Publié: (2025)
par: Santos-Villafranca, Maria, et autres
Publié: (2025)
Towards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognition
par: Yudistira, Novanto
Publié: (2025)
par: Yudistira, Novanto
Publié: (2025)
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
par: Hatano, Masashi, et autres
Publié: (2024)
par: Hatano, Masashi, et autres
Publié: (2024)
MultiFuser: Multimodal Fusion Transformer for Enhanced Driver Action Recognition
par: Wang, Ruoyu, et autres
Publié: (2024)
par: Wang, Ruoyu, et autres
Publié: (2024)
MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition
par: Xing, Jiazheng, et autres
Publié: (2023)
par: Xing, Jiazheng, et autres
Publié: (2023)
Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition
par: Chen, Boyu, et autres
Publié: (2024)
par: Chen, Boyu, et autres
Publié: (2024)
Towards Universal Skeleton-Based Action Recognition
par: Kuang, Jidong, et autres
Publié: (2026)
par: Kuang, Jidong, et autres
Publié: (2026)
Efficient Egocentric Action Recognition with Multimodal Data
par: Calzavara, Marco, et autres
Publié: (2025)
par: Calzavara, Marco, et autres
Publié: (2025)
Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition
par: Liang, Zeyu, et autres
Publié: (2024)
par: Liang, Zeyu, et autres
Publié: (2024)
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition
par: Wei, Wei, et autres
Publié: (2024)
par: Wei, Wei, et autres
Publié: (2024)
Diffusion-Based Action Recognition Generalizes to Untrained Domains
par: Guimaraes, Rogerio, et autres
Publié: (2025)
par: Guimaraes, Rogerio, et autres
Publié: (2025)
G3CN: Gaussian Topology Refinement Gated Graph Convolutional Network for Skeleton-Based Action Recognition
par: Ren, Haiqing, et autres
Publié: (2025)
par: Ren, Haiqing, et autres
Publié: (2025)
Identifying Ethical Biases in Action Recognition Models
par: Baltaretu, Ana, et autres
Publié: (2026)
par: Baltaretu, Ana, et autres
Publié: (2026)
Knowledge is Power: Advancing Few-shot Action Recognition with Multimodal Semantics from MLLMs
par: Xing, Jiazheng, et autres
Publié: (2026)
par: Xing, Jiazheng, et autres
Publié: (2026)
Documents similaires
-
Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
par: Ziaeetabar, Fatemeh
Publié: (2025) -
EfficientGFormer: Multimodal Brain Tumor Segmentation via Pruned Graph-Augmented Transformer
par: Ziaeetabar, Fatemeh
Publié: (2025) -
Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains
par: Ziaeetabar, Fatemeh
Publié: (2026) -
Beyond Sequences: A Benchmark for Atomic Hand-Object Interaction Using a Static RNN Encoder
par: Movahed, Yousef Azizi, et autres
Publié: (2025) -
DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection
par: Noghredeh, Amirhossein Khadivi, et autres
Publié: (2025)