Cover Image

PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jongseo, Lee, Wooil, Park, Gyeong-Moon, Kim, Seong Tae, Choi, Jinwoo
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

Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition
by: Lee, Jongseo, et al.
Published: (2025)

CAST: Cross-Attention in Space and Time for Video Action Recognition
by: Lee, Dongho, et al.
Published: (2023)

ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
by: Lee, Jongseo, et al.
Published: (2025)

PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond
by: Lee, Jongseo, et al.
Published: (2024)

CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition
by: Lee, Jongseo, et al.
Published: (2025)

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

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
by: Kim, Ka Young, et al.
Published: (2025)

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs
by: Lee, Jongseo, et al.
Published: (2026)

ESC: Erasing Space Concept for Knowledge Deletion
by: Lee, Tae-Young, et al.
Published: (2025)

Universal Domain Adaptation for Semantic Segmentation
by: Choe, Seun-An, et al.
Published: (2025)

HiCM$^2$: Hierarchical Compact Memory Modeling for Dense Video Captioning
by: Kim, Minkuk, et al.
Published: (2024)

Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
by: Kim, Minkuk, et al.
Published: (2024)

HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization
by: Chang, Joohyun, et al.
Published: (2025)

Generative Unlearning for Any Identity
by: Seo, Juwon, et al.
Published: (2024)

Locality-aware Concept Bottleneck Model
by: Jeon, Sujin, et al.
Published: (2025)

ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement
by: Lim, Habin, et al.
Published: (2025)

MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations
by: Bae, Kyungho, et al.
Published: (2025)

Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation
by: Lee, Seunghyun, et al.
Published: (2025)

Multispectral Pedestrian Detection with Sparsely Annotated Label
by: Lee, Chan, et al.
Published: (2025)

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

Open-Set Domain Adaptation for Semantic Segmentation
by: Choe, Seun-An, et al.
Published: (2024)

Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
by: Lee, Tae-Young, et al.
Published: (2025)

CLIP-QDA: An Explainable Concept Bottleneck Model
by: Kazmierczak, Rémi, et al.
Published: (2023)

Online Continuous Generalized Category Discovery
by: Park, Keon-Hee, et al.
Published: (2024)

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models
by: Moon, Jun-Yeong, et al.
Published: (2024)

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
by: Kim, Sanghyun, et al.
Published: (2024)

EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation
by: Moon, Seungjun, et al.
Published: (2025)

Why Can't I Open My Drawer? Mitigating Object-Driven Shortcuts in Zero-Shot Compositional Action Recognition
by: Ahn, Geo, et al.
Published: (2026)

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning
by: Park, Min-Yeong, et al.
Published: (2024)

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

Learning Multi-frame and Monocular Prior for Estimating Geometry in Dynamic Scenes
by: Park, Seong Hyeon, et al.
Published: (2025)

M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
by: Moon, Jiyong, et al.
Published: (2023)

HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place Recognition
by: Woo, Suhan, et al.
Published: (2025)

DEVIAS: Learning Disentangled Video Representations of Action and Scene
by: Bae, Kyungho, et al.
Published: (2023)

Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
by: Kim, Hyeon Bae, et al.
Published: (2024)

Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering
by: Lim, Su Hyeon, et al.
Published: (2024)

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
by: Chowdhury, Townim F., et al.
Published: (2024)

Detecting Unknown Objects via Energy-based Separation for Open World Object Detection
by: Heo, Jun-Woo, et al.
Published: (2026)

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
by: Park, Keon-Hee, et al.
Published: (2024)

WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts
by: Ahn, Yong Hyun, et al.
Published: (2024)