Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Zero-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 LocalizationLLM-powered Query Expansion for Enhancing Boundary Prediction in Language-driven Action Localization
Language-driven action localization in videos requires not only semantic alignment between language query and video segment, but also prediction of action boundaries. However, the language query primarily describes the m…
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 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+5TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
Temporal localization in untrimmed videos, which aims to identify specific timestamps, is crucial for video understanding but remains challenging. This task encompasses several subtasks, including temporal action localiz…
Action LocalizationBoundary DetectionChunkingGeneric Event Boundary Detection+5Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues
This paper introduces ViNet-S, a 36MB model based on the ViNet architecture with a U-Net design, featuring a lightweight decoder that significantly reduces model size and parameters without compromising performance. Addi…
Action ClassificationAction LocalizationDecoderSaliency Prediction+3XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses
Human Action Recognition (HAR) plays a crucial role in applications such as health monitoring, smart home automation, and human-computer interaction. While HAR has been extensively studied, action summarization, which in…
Action LocalizationAction RecognitionPose EstimationSynthetic Data Generation+1Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
Pseudo-label learning methods have been widely applied in weakly-supervised temporal action localization. Existing works directly utilize weakly-supervised base model to generate instance-level pseudo-labels for training…
Action LocalizationDenoisingPseudo LabelTemporal Action Localization+1A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement Prediction
Detecting and interpreting operator actions, engagement, and object interactions in dynamic industrial workflows remains a significant challenge in human-robot collaboration research, especially within complex, real-worl…
Action LocalizationWeakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
Recent breakthroughs in Multimodal Large Language Models (MLLMs) have gained significant recognition within the deep learning community, where the fusion of the Video Foundation Models (VFMs) and Large Language Model…
Action LocalizationTemporal Action LocalizationVideo UnderstandingWeakly-supervised Temporal Action Localization+1Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport
Point-supervised Temporal Action Localization poses significant challenges due to the difficulty of identifying complete actions with a single-point annotation per action. Existing methods typically employ Multiple …
Action LocalizationMultiple Instance LearningTemporal Action LocalizationDAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments
Most existing traffic video datasets including Waymo are structured, focusing predominantly on Western traffic, which hinders global applicability. Specifically, most Asian scenarios are far more complex, involving numer…
Action LocalizationAction RecognitionMoment RetrievalTemporal Action Localization+1Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a task of targeting at localizing complete action instances and categorizing them with video-level labels. Action-background ambiguity, primarily caused by backg…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationStitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
Existing skeleton-based human action classification models rely on well-trimmed action-specific skeleton videos for both training and testing, precluding their scalability to real-world applications where untrimmed video…
Action ClassificationAction LocalizationAction SegmentationSegmentation+1Temporal Action Localization with Cross Layer Task Decoupling and Refinement
Temporal action localization (TAL) involves dual tasks to classify and localize actions within untrimmed videos. However, the two tasks often have conflicting requirements for features. Existing methods typically employ …
Action ClassificationAction LocalizationTemporal Action Localization