Papers Action Analysis
“Action Analysis” 태그가 달린 논문 40편 · 필터 해제
H-MoRe: Learning Human-centric Motion Representation for Action Analysis
In this paper, we propose H-MoRe, a novel pipeline for learning precise human-centric motion representation. Our approach dynamically preserves relevant human motion while filtering out background movement. Notably, unli…
Action AnalysisAction RecognitionGait RecognitionVideo GenerationTowards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
Sustainability reports are key for evaluating companies' environmental, social and governance, ESG performance, but their content is increasingly obscured by greenwashing - sustainability claims that are misleading, exag…
Action AnalysisFrom Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation Agents
Recent advancements in Large Language Model (LLM)-based frameworks have extended their capabilities to complex real-world applications, such as interactive web navigation. These systems, driven by user commands, navigate…
Action AnalysisConversational Web NavigationLanguage ModelingLanguage Modelling+3A vision-based framework for human behavior understanding in industrial assembly lines
This paper introduces a vision-based framework for capturing and understanding human behavior in industrial assembly lines, focusing on car door manufacturing. The framework leverages advanced computer vision techniques …
Action AnalysisEnhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework
Autism Spectrum Disorder (ASD) is a rapidly growing neurodevelopmental disorder. Performing a timely intervention is crucial for the growth of young children with ASD, but traditional clinical screening methods lack obje…
Action AnalysisMMAD: Multi-label Micro-Action Detection in Videos
Human body actions are an important form of non-verbal communication in social interactions. This paper specifically focuses on a subset of body actions known as micro-actions, which are subtle, low-intensity body moveme…
Action AnalysisAction DetectionEmotion RecognitionVideo UnderstandingMobileFlow: A Multimodal LLM For Mobile GUI Agent
Currently, the integration of mobile Graphical User Interfaces (GUIs) is ubiquitous in most people's daily lives. And the ongoing evolution of multimodal large-scale models, such as GPT-4v, Qwen-VL-Max, has significantly…
Action AnalysisLanguage ModellingLarge Language ModelMixture-of-Experts+1FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding
Fine-grained action analysis in multi-person sports is complex due to athletes' quick movements and intense physical confrontations which result in severe visual obstructions in most scenes. In addition accessible mu…
Action AnalysisAction UnderstandingCPR-Coach: Recognizing Composite Error Actions based on Single-class Training
The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm shortage. Cardiopulmonary Resuscitation (CP…
Action AnalysisAction RecognitionFine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
The fine-grained action analysis of the existing action datasets is challenged by insufficient action categories, low fine granularities, limited modalities, and tasks. In this paper, we propose a Multi-modality and Mult…
Action AnalysisAction Quality AssessmentAction RecognitionFine-grained Action RecognitionSkeleton-based action analysis for ADHD diagnosis
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurobehavioral disorder worldwide. While extensive research has focused on machine learning methods for ADHD diagnosis, most research relies on high-cost equip…
Action AnalysisAction RecognitionDiagnosticEEG+1FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
Analysis of human interaction is one important research topic of human motion analysis. It has been studied either using first person vision (FPV) or third person vision (TPV). However, the joint learning of both types o…
Action AnalysisAction RecognitionYour "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis
Visual attention has been extensively studied for learning fine-grained features in both facial expression recognition (FER) and Action Unit (AU) detection. A broad range of previous research has explored how to use atte…
Action AnalysisFacial Expression RecognitionFacial Expression Recognition (FER)Domain 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+11LTC-GIF: Attracting More Clicks on Feature-length Sports Videos
This paper proposes a lightweight method to attract users and increase views of the video by presenting personalized artistic media -- i.e, static thumbnails and animated GIFs. This method analyzes lightweight thumbnail …
Action AnalysisAnimated GIF GenerationSports AnalyticsUser Constrained Thumbnail GenerationMoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
We present a novel framework that brings the 3D motion retargeting task from controlled environments to in-the-wild scenarios. In particular, our method is capable of retargeting body motion from a character in a 2D mono…
3D ReconstructionAction Analysismotion retargetingRetrievalUnsupervised 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+3An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
Drug repurposing provides an opportunity to redeploy drugs, which ideally are already approved for use in humans, for the treatment of other diseases. For example, the repurposing of dexamethasone and baricitinib has pla…
Action AnalysisA Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity
Human motion similarity is practiced in many fields, including action recognition, anomaly detection, and human performance evaluation. While many computer vision tasks have benefited from deep learning, measuring motion…
Action AnalysisAction RecognitionAnomaly DetectionVI-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 Assessment