Papers Temporal Action Localization
“Temporal Action Localization” 태그가 달린 논문 1,503편 · 필터 해제
EvoStruggle: A Dataset Capturing the Evolution of Struggle across Activities and Skill Levels
The ability to determine when a person struggles during skill acquisition is crucial for both optimizing human learning and enabling the development of effective assistive systems. As skills develop, the type and frequen…
Temporal Action LocalizationOpen-ended Hierarchical Streaming Video Understanding with Vision Language Models
We introduce Hierarchical Streaming Video Understanding, a task that combines online temporal action localization with free-form description generation. Given the scarcity of datasets with hierarchical and fine-grained t…
Temporal Action LocalizationAction ClassificationUTAL-GNN: Unsupervised Temporal Action Localization using Graph Neural Networks
Fine-grained action localization in untrimmed sports videos presents a significant challenge due to rapid and subtle motion transitions over short durations. Existing supervised and weakly supervised solutions often rely…
Temporal Action LocalizationComputational EfficiencyEgoLoc: A Generalizable Solution for Temporal Interaction Localization in Egocentric Videos
Analyzing hand-object interaction in egocentric vision facilitates VR/AR applications and human-robot policy transfer. Existing research has mostly focused on modeling the behavior paradigm of interactive actions (i.e., …
Temporal Action LocalizationMotion PlanningDual Guidance Semi-Supervised Action Detection
Semi-Supervised Learning (SSL) has shown tremendous potential to improve the predictive performance of deep learning models when annotations are hard to obtain. However, the application of SSL has so far been mainly stud…
Temporal Action LocalizationImage ClassificationAction DetectionDVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition
The landscape of video recognition has evolved significantly, shifting from traditional Convolutional Neural Networks (CNNs) to Transformer-based architectures for improved accuracy. While 3D CNNs have been effective at …
BenchmarkingKnowledge DistillationSpatio-temporal Action RecognitionTemporal Action Localization+2Hierarchical Multi-Stage Transformer Architecture for Context-Aware Temporal Action Localization
Inspired by the recent success of transformers and multi-stage architectures in video recognition and object detection domains. We thoroughly explore the rich spatio-temporal properties of transformers within a multi-sta…
Temporal Action LocalizationObject DetectionIncluding Semantic Information via Word Embeddings for Skeleton-based Action Recognition
Effective human action recognition is widely used for cobots in Industry 4.0 to assist in assembly tasks. However, conventional skeleton-based methods often lose keypoint semantics, limiting their effectiveness in comple…
Action RecognitionSkeleton Based Action RecognitionTemporal Action LocalizationWord EmbeddingsZero-Shot Temporal Interaction Localization for Egocentric Videos
Locating human-object interaction (HOI) actions within video serves as the foundation for multiple downstream tasks, such as human behavior analysis and human-robot skill transfer. Current temporal action localization me…
Action LocalizationHuman-Object Interaction DetectionTemporal Action LocalizationA Review on Coarse to Fine-Grained Animal Action Recognition
This review provides an in-depth exploration of the field of animal action recognition, focusing on coarse-grained (CG) and fine-grained (FG) techniques. The primary aim is to examine the current state of research in ani…
Action RecognitionAnimal Action RecognitionFine-grained Action RecognitionTemporal Action LocalizationCLIP-AE: CLIP-assisted Cross-view Audio-Visual Enhancement for Unsupervised Temporal Action Localization
Temporal Action Localization (TAL) has garnered significant attention in information retrieval. Existing supervised or weakly supervised methods heavily rely on labeled temporal boundaries and action categories, which ar…
Action LocalizationInformation RetrievalTemporal Action LocalizationDeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
Despite recognized limitations in modeling long-range temporal dependencies, Human Activity Recognition (HAR) has traditionally relied on a sliding window approach to segment labeled datasets. Deep learning models like t…
Action LocalizationActivity RecognitionHuman Activity RecognitionTemporal Action Localization+1ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization
Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually annotated data. Data programming is an e…
Action LocalizationTemporal Action LocalizationAre Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
Spatial-temporal graph convolutional networks (ST-GCNs) showcase impressive performance in skeleton-based human action recognition (HAR). However, despite the development of numerous models, their recognition performance…
Action RecognitionTemporal Action LocalizationAction Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges
Video event detection has become an essential component of sports analytics, enabling automated identification of key moments and enhancing performance analysis, viewer engagement, and broadcast efficiency. Recent advanc…
Action LocalizationAction SpottingEvent DetectionKnowledge Distillation+4Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
Weakly-supervised Temporal Action Localization (WTAL) has achieved notable success but still suffers from a lack of temporal annotations, leading to a performance and framework gap compared with fully-supervised methods.…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationTalk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts
Wireless signal-based human sensing technologies, such as WiFi, millimeter-wave (mmWave) radar, and Radio Frequency Identification (RFID), enable the detection and interpretation of human presence, posture, and activitie…
Action LocalizationAction RecognitionTemporal Action LocalizationChain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization
Traditional temporal action localization (TAL) methods rely on large amounts of detailed annotated data, whereas few-shot TAL reduces this dependence by using only a few training samples to identify unseen action categor…
Action LocalizationAnomaly DetectionAnomaly LocalizationFew-Shot Learning+5PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
Human action recognition (HAR) has achieved impressive results with deep learning models, but their decision-making process remains opaque due to their black-box nature. Ensuring interpretability is crucial, especially f…
Action RecognitionAction UnderstandingTemporal Action LocalizationOwlSight: A Robust Illumination Adaptation Framework for Dark Video Human Action Recognition
Human action recognition in low-light environments is crucial for various real-world applications. However, the existing approaches overlook the full utilization of brightness information throughout the training phase, l…
Action ClassificationAction RecognitionTemporal Action Localization