Papers Temporal Action Localization
“Temporal Action Localization” 태그가 달린 논문 1,503편 · 필터 해제
Using joint angles based on the international biomechanical standards for human action recognition and related tasks
Keypoint data has received a considerable amount of attention in machine learning for tasks like action detection and recognition. However, human experts in movement such as doctors, physiotherapists, sports scientists a…
Action DetectionAction RecognitionTemporal Action LocalizationSVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition
Video action recognition (VAR) plays crucial roles in various domains such as surveillance, healthcare, and industrial automation, making it highly significant for the society. Consequently, it has long been a research s…
Action RecognitionTemporal Action LocalizationOpen-Vocabulary Temporal Action Localization using Multimodal Guidance
Open-Vocabulary Temporal Action Localization (OVTAL) enables a model to recognize any desired action category in videos without the need to explicitly curate training data for all categories. However, this flexibility po…
Action LocalizationLanguage ModellingLarge Language ModelTemporal Action LocalizationSMART: Scene-motion-aware human action recognition framework for mental disorder group
Patients with mental disorders often exhibit risky abnormal actions, such as climbing walls or hitting windows, necessitating intelligent video behavior monitoring for smart healthcare with the rising Internet of Things …
Action RecognitionTemporal Action LocalizationDL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the Dark
Human action recognition in dark videos is a challenging task for computer vision. Recent research focuses on applying dark enhancement methods to improve the visibility of the video. However, such video processing resul…
Action RecognitionKnowledge DistillationTemporal Action LocalizationVideo ClassificationRNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model
Human Action Recognition (HAR) encompasses the task of monitoring human activities across various domains, including but not limited to medical, educational, entertainment, visual surveillance, video retrieval, and the i…
Action RecognitionTemporal Action LocalizationVideo RetrievalVision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
Skeleton-based action representation learning aims to interpret and understand human behaviors by encoding the skeleton sequences, which can be categorized into two primary training paradigms: supervised learning and sel…
Action RecognitionContrastive LearningKnowledge DistillationRepresentation Learning+4Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
Human action recognition is crucial in computer vision systems. However, in real-world scenarios, human actions often fall outside the distribution of training data, requiring a model to both recognize in-distribution (I…
Action DetectionAction RecognitionSkeleton Based Action RecognitionTemporal Action LocalizationMatrix Manifold Neural Networks++
Deep neural networks (DNNs) on Riemannian manifolds have garnered increasing interest in various applied areas. For instance, DNNs on spherical and hyperbolic manifolds have been designed to solve a wide range of compute…
Action RecognitionNode ClassificationTemporal Action LocalizationEnhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks
Spatiotemporal prediction plays an important role in solving natural problems and processing video frames, especially in weather forecasting and human action recognition. Recent advances attempt to incorporate prior phys…
Action RecognitionPredictionTemporal Action LocalizationVideo Prediction+1MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models
Point cloud videos can faithfully capture real-world spatial geometries and temporal dynamics, which are essential for enabling intelligent agents to understand the dynamically changing world. However, designing an effec…
Action RecognitionAction SegmentationGPUMamba+5Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
The widespread adoption of deep neural networks in machine learning calls for an objective quantification of esoteric trust. In this paper we propose GradTrust, a classification trust measure for large-scale neural netwo…
Action RecognitioncounterfactualOut-of-Distribution DetectionTemporal Action LocalizationFrom CNNs to Transformers in Multimodal Human Action Recognition: A Survey
Due to its widespread applications, human action recognition is one of the most widely studied research problems in Computer Vision. Recent studies have shown that addressing it using multimodal data leads to superior pe…
Action RecognitionTemporal Action LocalizationA Survey on Backbones for Deep Video Action Recognition
Action recognition is a key technology in building interactive metaverses. With the rapid development of deep learning, methods in action recognition have also achieved great advancement. Researchers design and implement…
Action RecognitionDiversityOptical Flow EstimationSurvey+2STAT: Towards Generalizable Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) aims to recognize and localize action instances with only video-level labels. Despite the significant progress, existing methods suffer from severe performance degrad…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationDeepLocalization: Using change point detection for Temporal Action Localization
In this study, we introduce DeepLocalization, an innovative framework devised for the real-time localization of actions tailored explicitly for monitoring driver behavior. Utilizing the power of advanced deep learning me…
Action LocalizationChange Point DetectionEvent DetectionLanguage Modeling+4Learning to Score Sign Language with Two-stage Method
Human action recognition and performance assessment have been hot research topics in recent years. Recognition problems have mature solutions in the field of sign language, but past research in performance analysis has f…
Action RecognitionTemporal Action LocalizationLeveraging Temporal Contextualization for Video Action Recognition
We propose a novel framework for video understanding, called Temporally Contextualized CLIP (TC-CLIP), which leverages essential temporal information through global interactions in a spatio-temporal domain within a video…
Action RecognitionTemporal Action LocalizationVideo UnderstandingZero-Shot Action RecognitionWeakly supervised temporal action localization with actionness-guided false positive suppression
Weakly supervised temporal action localization aims to locate the temporal boundaries of action instances in untrimmed videos using video-level labels and assign them the corresponding action category. Generally, it is s…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationA Survey on Multimodal Wearable Sensor-based Human Action Recognition
The combination of increased life expectancy and falling birth rates is resulting in an aging population. Wearable Sensor-based Human Activity Recognition (WSHAR) emerges as a promising assistive technology to support th…
Action RecognitionActivity RecognitionHuman Activity RecognitionSurvey+1