Cover Image

Zero-shot Compositional Action Recognition with Neural Logic Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Gefan, Li, Lin, Li, Kexin, Xiao, Jun, Chen, Long
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compositional Zero-shot Learning via Progressive Language-based Observations
by: Li, Lin, et al.
Published: (2023)

C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition
by: Li, Rongchang, et al.
Published: (2024)

Hierarchical Compositional Representations for Few-shot Action Recognition
by: Li, Changzhen, et al.
Published: (2022)

ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition
by: Zhou, Jiaming, et al.
Published: (2024)

Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation
by: Li, Lin, et al.
Published: (2026)

Seeing Beyond Classes: Zero-Shot Grounded Situation Recognition via Language Explainer
by: Lei, Jiaming, et al.
Published: (2024)

$\text{H}^2$em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning
by: Li, Lin, et al.
Published: (2025)

Exploring Iterative Manifold Constraint for Zero-shot Image Editing
by: Li, Maomao, et al.
Published: (2025)

Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
by: Zhu, Anqi, et al.
Published: (2024)

FlowComposer: Composable Flows for Compositional Zero-Shot Learning
by: He, Zhenqi, et al.
Published: (2026)

Enhancing Spatio-Temporal Zero-shot Action Recognition with Language-driven Description Attributes
by: Kim, Yehna, et al.
Published: (2025)

Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
by: Yu, Yating, et al.
Published: (2024)

Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
by: Li, Suyi, et al.
Published: (2024)

CLIP-guided Prototype Modulating for Few-shot Action Recognition
by: Wang, Xiang, et al.
Published: (2023)

Appearance-free Action Recognition: Zero-shot Generalization in Humans and a Two-Pathway Model
by: Kumar, Prerana, et al.
Published: (2026)

Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
by: Geng, Yuxia, et al.
Published: (2024)

SCALE: Semantic- and Confidence-Aware Conditional Variational Autoencoder for Zero-shot Skeleton-based Action Recognition
by: Oraki, Soroush, et al.
Published: (2026)

Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
by: Xuan, Shiyu, et al.
Published: (2026)

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
by: Li, Yuqi, et al.
Published: (2024)

Adaptive Prototype Model for Attribute-based Multi-label Few-shot Action Recognition
by: Xiao, Juefeng, et al.
Published: (2025)

CoMo: Compositional Motion Customization for Text-to-Video Generation
by: Xu, Youcan, et al.
Published: (2025)

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
by: Pang, Li, et al.
Published: (2025)

A Comprehensive Review of Few-shot Action Recognition
by: Wanyan, Yuyang, et al.
Published: (2024)

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

Active Multimodal Distillation for Few-shot Action Recognition
by: Feng, Weijia, et al.
Published: (2025)

Compositional Feature Augmentation for Unbiased Scene Graph Generation
by: Li, Lin, et al.
Published: (2023)

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

Knowledge is Power: Advancing Few-shot Action Recognition with Multimodal Semantics from MLLMs
by: Xing, Jiazheng, et al.
Published: (2026)

ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking
by: Chen, Jianqiu, et al.
Published: (2025)

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

MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition
by: Song, Dan, et al.
Published: (2023)

Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
by: Qian, Zefeng, et al.
Published: (2025)

LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition?
by: Li, Bangyan, et al.
Published: (2025)

StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields
by: Xu, Hongbin, et al.
Published: (2024)

D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
by: Pei, Wenjie, et al.
Published: (2023)

Learning Clustering-based Prototypes for Compositional Zero-shot Learning
by: Qu, Hongyu, et al.
Published: (2025)

A Conditional Probability Framework for Compositional Zero-shot Learning
by: Wu, Peng, et al.
Published: (2025)

Unified Framework for Open-World Compositional Zero-shot Learning
by: Jayasekara, Hirunima, et al.
Published: (2024)

ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion
by: Zhang, Zitian, et al.
Published: (2024)

Temporal Alignment-Free Video Matching for Few-shot Action Recognition
by: Lee, SuBeen, et al.
Published: (2025)