Papers Temporal Localization
“Temporal Localization” 태그가 달린 논문 153편 · 필터 해제
Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos
Natural Language Video Grounding (NLVG) aims to localize time segments in an untrimmed video according to sentence queries. In this work, we present a new paradigm named Explore-And-Match for NLVG that seamlessly unifies…
Natural Language QueriesSentenceTemporal LocalizationVideo GroundingPractitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
Emergency response is highly dependent on the time of incident reporting. Unfortunately, the traditional approach to receiving incident reports (e.g., calling 911 in the USA) has time delays. Crowdsourcing platforms such…
Event DetectionManagementTemporal LocalizationHierarchical Deep Residual Reasoning for Temporal Moment Localization
Temporal Moment Localization (TML) in untrimmed videos is a challenging task in the field of multimedia, which aims at localizing the start and end points of the activity in the video, described by a sentence query. Exis…
Language-Based Temporal LocalizationSentenceTemporal LocalizationFew-Shot Temporal Action Localization with Query Adaptive Transformer
Existing temporal action localization (TAL) works rely on a large number of training videos with exhaustive segment-level annotation, preventing them from scaling to new classes. As a solution to this problem, few-shot T…
Action LocalizationAction SegmentationFew Shot Temporal Action LocalizationFine-Grained Action Detection+3Transductive Universal Transport for Zero-Shot Action Recognition
This work addresses the problem of recognizing action categories in videos for which no training examples are available. The current state-of-the-art enables such a zero-shot recognition by learning universal mappings fr…
Action RecognitionObjectPositionTemporal Localization+3A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors
The consumption of tobacco has reached global epidemic proportions and is characterized as the leading cause of death and illness. Among the different ways of consuming tobacco (e.g., smokeless, cigars), smoking cigarett…
Event DetectionTemporal LocalizationIdentity-aware Graph Memory Network for Action Detection
Action detection plays an important role in high-level video understanding and media interpretation. Many existing studies fulfill this spatio-temporal localization by modeling the context, capturing the relationship of …
Action DetectionGraph Neural NetworkTemporal LocalizationVideo UnderstandingEnriching Local and Global Contexts for Temporal Action Localization
Effectively tackling the problem of temporal action localization (TAL) necessitates a visual representation that jointly pursues two confounding goals, i.e., fine-grained discrimination for temporal localization and suff…
Action ClassificationAction LocalizationRetrievalTemporal Action Localization+1Spectro-Temporal RF Identification using Deep Learning
RF emissions detection, classification, and spectro-temporal localization are crucial not only for tasks relating to understanding, managing, and protecting the RF spectrum, but also for safety and security applications …
Deep Learningobject-detectionObject DetectionTemporal Localization+1NAAQA: A Neural Architecture for Acoustic Question Answering
The goal of the Acoustic Question Answering (AQA) task is to answer a free-form text question about the content of an acoustic scene. It was inspired by the Visual Question Answering (VQA) task. In this paper, based on t…
Acoustic Question AnsweringQuestion AnsweringTemporal LocalizationVisual Question Answering+1Sequential End-to-End Intent and Slot Label Classification and Localization
Human-computer interaction (HCI) is significantly impacted by delayed responses from a spoken dialogue system. Hence, end-to-end (e2e) spoken language understanding (SLU) solutions have recently been proposed to decrease…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Classificationspeech-recognition+3Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks
In the recent past, deep learning-based approaches have significantly improved the classification accuracy when compared to classical signal processing and machine learning based frameworks. But most of them were subject…
Deep LearningEEGElectroencephalogram (EEG)Emotion Recognition+1FineAction: A Fine-Grained Video Dataset for Temporal Action Localization
Temporal action localization (TAL) is an important and challenging problem in video understanding. However, most existing TAL benchmarks are built upon the coarse granularity of action classes, which exhibits two major l…
Action DetectionAction LocalizationFine-Grained Action DetectionTemporal Action Localization+3Action Shuffling for Weakly Supervised Temporal Localization
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-level annotations available. This paper ana…
Action LocalizationTemporal LocalizationWeakly Supervised Action LocalizationWeakly Supervised Action Selection Learning in Video
Localizing actions in video is a core task in computer vision. The weakly supervised temporal localization problem investigates whether this task can be adequately solved with only video-level labels, significantly reduc…
Temporal LocalizationWeakly Supervised Action LocalizationFew-Shot Transformation of Common Actions into Time and Space
This paper introduces the task of few-shot common action localization in time and space. Given a few trimmed support videos containing the same but unknown action, we strive for spatio-temporal localization of that actio…
Action LocalizationDecoderTemporal LocalizationLearning Salient Boundary Feature for Anchor-free Temporal Action Localization
Temporal action localization is an important yet challenging task in video understanding. Typically, such a task aims at inferring both the action category and localization of the start and end frame for each action inst…
Action LocalizationTemporal Action LocalizationTemporal LocalizationVideo UnderstandingPcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization
Temporal action localization is an important and challenging task that aims to locate temporal regions in real-world untrimmed videos where actions occur and recognize their classes. It is widely acknowledged that video …
Action LocalizationBoundary DetectionPositionTemporal Action Localization+2CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions
Natural Language (NL) descriptions can be one of the most convenient or the only way to interact with systems built to understand and detect city scale traffic patterns and vehicle-related events. In this paper, we exten…
Multi-Object TrackingObject TrackingRetrievalTemporal LocalizationTSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
Due to the large memory footprint of untrimmed videos, current state-of-the-art video localization methods operate atop precomputed video clip features. These features are extracted from video encoders typically trained …
Action ClassificationAction LocalizationDense Video CaptioningTemporal Action Localization+3