Papers Action Assessment
“Action Assessment” 태그가 달린 논문 17편 · 필터 해제
MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux
Graphical user interface (GUI) agents are rapidly progressing toward autonomous interaction and reliable task execution across diverse applications. However, two central challenges remain unresolved: automating the evalu…
Action AssessmentHieroAction: Hierarchically Guided VLM for Fine-Grained Action Analysis
Evaluating human actions with clear and detailed feedback is important in areas such as sports, healthcare, and robotics, where decisions rely not only on final outcomes but also on interpretable reasoning. However, most…
Reinforcement LearningAction AssessmentTechCoach: Towards Technical-Point-Aware Descriptive Action Coaching
To guide a learner in mastering action skills, it is crucial for a coach to 1) reason through the learner's action execution and technical points (TechPoints), and 2) provide detailed, comprehensible feedback on what is …
Action AssessmentDescriptiveMR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment
Accurate assessment of patient actions plays a crucial role in healthcare as it contributes significantly to disease progression monitoring and treatment effectiveness. However, traditional approaches to assess patient a…
Action AssessmentContinual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
Action Quality Assessment (AQA) is a task that tries to answer how well an action is carried out. While remarkable progress has been achieved, existing works on AQA assume that all the training data are visible for train…
Action AssessmentAction Quality AssessmentContinual LearningHand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer
Hand hygiene is a standard six-step hand-washing action proposed by the World Health Organization (WHO). However, there is no good way to supervise medical staff to do hand hygiene, which brings the potential risk of dis…
Action AssessmentSegmentationEGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
Recently, some skeleton-based physical therapy systems have been attempted to automatically evaluate the correctness or quality of an exercise performed by rehabilitation subjects. However, in terms of algorithms and eva…
Action AssessmentDomain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
Maintaining proper form while exercising is important for preventing injuries and maximizing muscle mass gains. Detecting errors in workout form naturally requires estimating human's body pose. However, off-the-shelf pos…
3D Action RecognitionAction AnalysisAction AssessmentAction Quality Assessment+11TSA-Net: Tube Self-Attention Network for Action Quality Assessment
In recent years, assessing action quality from videos has attracted growing attention in computer vision community and human computer interaction. Most existing approaches usually tackle this problem by directly migratin…
Action AssessmentAction Quality AssessmentAction RecognitionComputational EfficiencyLikert Scoring With Grade Decoupling for Long-Term Action Assessment
Long-term action quality assessment is a task of evaluating how well an action is performed, namely, estimating a quality score from a long video. Intuitively, longterm actions generally involve parts exhibiting diff…
Action AssessmentAction Quality AssessmentDecoderUnsupervised View-Invariant Human Posture Representation
Most recent view-invariant action recognition and performance assessment approaches rely on a large amount of annotated 3D skeleton data to extract view-invariant features. However, acquiring 3D skeleton data can be cumb…
3D Action Recognition3D Pose EstimationAction AnalysisAction Assessment+3Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer’s progression
Human action evaluation (HAE) involves judgments about the abnormality and quality of human actions. If performed effectively, HAE based on skeleton data can be used to monitor the outcomes of behavioral therapies for Al…
Action AssessmentAnomaly DetectionSportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular …
Action AssessmentAttributeMarkerless Motion CaptureHybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
The objective of action quality assessment is to score sports videos. However, most existing works focus only on video dynamic information (i.e., motion information) but ignore the specific postures that an athlete is pe…
Action AssessmentAction Quality AssessmentVI-Net: View-Invariant Quality of Human Movement Assessment
We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data. Our end-to-end convolutional neural network consists of two stages, where at first a view-…
3D Action RecognitionAction AnalysisAction AssessmentAn Asymmetric Modeling for Action Assessment
Action assessment is a task of assessing the performance of an action. It is widely applicable to many real-world scenarios such as medical treatment and sporting events. However, existing methods for action assessment a…
Action AssessmentAction Assessment by Joint Relation Graphs
We present a new model to assess the performance of actions from videos, through graph-based joint relation modelling. Previous works mainly focused on the whole scene including the performer's body and background, yet t…
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