Papers Action Detection
“Action Detection” 태그가 달린 논문 850편 · 필터 해제
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection
Zero-Shot Temporal Action Detection (ZSTAD) aims to lo- calize and recognize action instances from unseen action categories in untrimmed videos. Although existing meth- ods have shown effectiveness by advancing architect…
Action DetectionVideo AlignmentTubeLite: Lightweight Multi-Actor Spatio-Temporal Action Detection
Spatio-temporal action detection in videos requires jointly localizing actors in space and identifying action boundaries over time. A common challenge is constructing temporally stable action tubes, as frame-level detect…
Action DetectionSkillSpotter: Pose-Aware Multi-View Skilled Action Detection and Grading in Ego-Exo Videos
To enable personalized, real-time coaching using Augmented Reality glasses or fixed camera setups in domains such as sports, cooking, or music, a system must understand not just what a person does, but how well they exec…
Action DetectionA New Multi-Domain Benchmark for Micro-Action Recognition and Detection
Micro-actions are short-duration, low-amplitude subtle body movements at the whole-body level that can reveal latent intentions, involuntary reactions, and fine-grained affective changes. Our previous MA-52 benchmark has…
Micro-Action RecognitionAction UnderstandingEmotion RecognitionAction DetectionMotion Reinforces Appearance: RGB-Skeleton Gated Residual Fusion for Micro-Gesture Online Recognition
Micro-gesture analysis attracts increasing attention for inferring spontaneous emotion from subtle body movements. Micro-gesture online recognition, which localizes and classifies each gesture instance in untrimmed video…
Action DetectionSpikeTAD: Spiking Neural Networks for End-to-End Temporal Action Detection
Video understanding is a crucial part of computer vision, with numerous application scenarios. With the increasing popularity of mobile devices, an increasing number of efforts are trying to deploy video understanding mo…
Action DetectionEgoAction: Egocentric Action Composition with Reliability-Aware Temporal Fusion for the EPIC-KITCHENS Action Detection Challenge at CVPR 2026
The EPIC-KITCHENS-100 Action Detection challenge evaluates whether a model can localize the start and end of each action in long untrimmed egocentric videos and assign the corresponding verb--noun action label. In this r…
Action DetectionImproving Viewpoint-Invariance and Temporal Consistency for Action Detection
Viewpoint change invariance and action temporal consistency are critical aspects for the effective deployment of human action detection of untrimmed videos. Existing appearance-based video detection methods often struggl…
Action DetectionEgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms
This paper introduces EgoMAGIC (Medical Assistance, Guidance, Instruction, and Correction), an egocentric medical activity dataset collected as part of DARPA's Perceptually-enabled Task Guidance (PTG) program. This datas…
Action RecognitionAction DetectionExplicit Dropout: Deterministic Regularization for Transformer Architectures
Dropout is a widely used regularization technique in deep learning, but its effects are typically realized through stochastic masking rather than explicit optimization objectives. We propose a deterministic formulation t…
Audio ClassificationImage ClassificationAction DetectionLiquidTAD: Efficient Temporal Action Detection via Parallel Liquid-Inspired Temporal Relaxation
Temporal Action Detection (TAD) requires precise localization of action boundaries within long, untrimmed video sequences. While current high-performing methods achieve strong accuracy, they are often characterized by ex…
Action DetectionDenoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
Open-Vocabulary Temporal Action Detection (OV-TAD) aims to localize and classify action segments of unseen categories in untrimmed videos, where effective alignment between action semantics and video representations is c…
Action DetectionVideo AlignmentEfficient Spatial-Temporal Focal Adapter with SSM for Temporal Action Detection
Temporal human action detection aims to identify and localize action segments within untrimmed videos, serving as a pivotal task in video understanding. Despite the progress achieved by prior architectures like CNN and T…
Action DetectionSingle-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors
On-screen learning behavior provides valuable insights into how students seek, use, and create information during learning. Analyzing on-screen behavioral engagement is essential for capturing students' cognitive and col…
Action DetectionFrom Skeletons to Semantics: Design and Deployment of a Hybrid Edge-Based Action Detection System for Public Safety
Public spaces such as transport hubs, city centres, and event venues require timely and reliable detection of potentially violent behaviour to support public safety. While automated video analysis has made significant pr…
Action DetectionDecompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection
Open-Vocabulary Temporal Action Detection (OV-TAD) aims to classify and localize action segments in untrimmed videos for unseen categories. Previous methods rely solely on global alignment between label-level semantics a…
Action DetectionSAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion
Error detection is crucial in industrial training, healthcare, and assembly quality control. Most existing work assumes a single-view setting and cannot handle the practical case where a third-person (exo) demonstration …
Dense Video CaptioningAction DetectionHomeSafe-Bench: Evaluating Vision-Language Models on Unsafe Action Detection for Embodied Agents in Household Scenarios
The rapid evolution of embodied agents has accelerated the deployment of household robots in real-world environments. However, unlike structured industrial settings, household spaces introduce unpredictable safety risks,…
Multimodal ReasoningAction DetectionVideo GenerationWhen Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents
Computer-use agents (CUAs) have made tremendous progress in the past year, yet they still frequently produce misaligned actions that deviate from the user's original intent. Such misaligned actions may arise from externa…
Action DetectionTowards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognition
This study introduces a pioneering methodology for human action recognition by harnessing deep neural network techniques and adaptive fusion strategies across multiple modalities, including RGB, optical flows, audio, and…
Self-Supervised LearningAction RecognitionAction Detection