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Probabilistic Temporal Modeling for Unintentional Action Localization

https://doi.org/10.1109/tip.2022.3163544

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01225-0_1openalex-snapshot

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_16openalex-snapshot

Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization

inferredcites →https://doi.org/10.1007/978-3-030-58592-1_23openalex-snapshot

Adaptive Variance Based Label Distribution Learning for Facial Age Estimation

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_2openalex-snapshot

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

inferredcites →https://doi.org/10.1007/978-3-319-59050-9_12openalex-snapshot

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

inferredcites →https://doi.org/10.1016/s0163-6383(99)00007-7openalex-snapshot

Infants’ ability to distinguish between purposeful and non-purposeful behaviors

inferredcites →https://doi.org/10.1109/comst.2018.2844341openalex-snapshot

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

inferredcites →https://doi.org/10.1109/cvpr.2014.237openalex-snapshot

Head Pose Estimation Based on Multivariate Label Distribution

inferredcites →https://doi.org/10.1109/cvpr.2016.119openalex-snapshot

Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

inferredcites →https://doi.org/10.1109/cvpr.2016.213openalex-snapshot

Convolutional Two-Stream Network Fusion for Video Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.293openalex-snapshot

End-to-End Learning of Action Detection from Frame Glimpses in Videos

inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot

Rethinking the Inception Architecture for Computer Vision

inferredcites →https://doi.org/10.1109/cvpr.2016.86openalex-snapshot

Learning Temporal Regularity in Video Sequences

inferredcites →https://doi.org/10.1109/cvpr.2017.155openalex-snapshot

CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos

inferredcites →https://doi.org/10.1109/cvpr.2017.342openalex-snapshot

Temporal Action Localization by Structured Maximal Sums

inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

inferredcites →https://doi.org/10.1109/cvpr.2017.675openalex-snapshot

SST: Single-Stream Temporal Action Proposals

inferredcites →https://doi.org/10.1109/cvpr.2018.00124openalex-snapshot

Rethinking the Faster R-CNN Architecture for Temporal Action Localization

inferredcites →https://doi.org/10.1109/cvpr.2018.00684openalex-snapshot

Future Frame Prediction for Anomaly Detection - A New Baseline

inferredcites →https://doi.org/10.1109/cvpr.2018.00685openalex-snapshot

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot

Non-local Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00043openalex-snapshot

Gaussian Temporal Awareness Networks for Action Localization

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00100openalex-snapshot

Oops! Predicting Unintentional Action in Video

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00986openalex-snapshot

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01017openalex-snapshot

G-TAD: Sub-Graph Localization for Temporal Action Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01400openalex-snapshot

Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00032openalex-snapshot

Glancing at the Patch: Anomaly Localization with Global and Local Feature Comparison

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00151openalex-snapshot

Modeling Multi-Label Action Dependencies for Temporal Action Localization

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00194openalex-snapshot

Self-Supervised Learning for Semi-Supervised Temporal Action Proposal

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00283openalex-snapshot

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00332openalex-snapshot

Representing Videos as Discriminative Sub-graphs for Action Recognition

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00610openalex-snapshot

Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00954openalex-snapshot

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00966openalex-snapshot

Spatio-temporal Contrastive Domain Adaptation for Action Recognition

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00984openalex-snapshot

Action Unit Memory Network for Weakly Supervised Temporal Action Localization

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01104openalex-snapshot

Learning Goals from Failure

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01255openalex-snapshot

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01379openalex-snapshot

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01664openalex-snapshot

Pixel-wise Anomaly Detection in Complex Driving Scenes

inferredcites →https://doi.org/10.1109/iccv.2017.317openalex-snapshot

Temporal Action Detection with Structured Segment Networks

inferredcites →https://doi.org/10.1109/iccv.2017.391openalex-snapshot

Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge

inferredcites →https://doi.org/10.1109/iccv.2017.45openalex-snapshot

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

inferredcites →https://doi.org/10.1109/iccv.2017.610openalex-snapshot

Temporal Context Network for Activity Localization in Videos

inferredcites →https://doi.org/10.1109/iccv.2017.617openalex-snapshot

R-C3D: Region Convolutional 3D Network for Temporal Activity Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00399openalex-snapshot

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

inferredcites →https://doi.org/10.1109/iccv.2019.00630openalex-snapshot

SlowFast Networks for Video Recognition

inferredcites →https://doi.org/10.1109/iccv.2019.00643openalex-snapshot

Action Assessment by Joint Relation Graphs

inferredcites →https://doi.org/10.1109/icme51207.2021.9428125openalex-snapshot

Temporal Label Aggregation for Unintentional Action Localization

inferredcites →https://doi.org/10.1109/tip.2017.2655445openalex-snapshot

Data-Dependent Label Distribution Learning for Age Estimation

inferredcites →https://doi.org/10.1109/tip.2017.2670780openalex-snapshot

Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

inferredcites →https://doi.org/10.1109/tip.2017.2689998openalex-snapshot

Deep Label Distribution Learning With Label Ambiguity

inferredcites →https://doi.org/10.1109/tip.2019.2922108openalex-snapshot

Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization

inferredcites →https://doi.org/10.1109/tip.2019.2922818openalex-snapshot

Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning

inferredcites →https://doi.org/10.1109/tip.2019.2940686openalex-snapshot

Domain-Transformable Sparse Representation for Anomaly Detection in Moving-Camera Videos

inferredcites →https://doi.org/10.1109/tip.2020.3016486openalex-snapshot

Revisiting Anchor Mechanisms for Temporal Action Localization

inferredcites →https://doi.org/10.1109/tip.2021.3058599openalex-snapshot

Holistic LSTM for Pedestrian Trajectory Prediction

inferredcites →https://doi.org/10.1109/tip.2021.3072863openalex-snapshot

Localizing Anomalies From Weakly-Labeled Videos

inferredcites →https://doi.org/10.1109/tip.2021.3073867openalex-snapshot

Video Moment Localization via Deep Cross-Modal Hashing

inferredcites →https://doi.org/10.1109/tip.2021.3078324openalex-snapshot

Modeling Sub-Actions for Weakly Supervised Temporal Action Localization

inferredcites →https://doi.org/10.1109/tip.2021.3089361openalex-snapshot

Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection

inferredcites →https://doi.org/10.1109/tpami.2013.51openalex-snapshot

Facial Age Estimation by Learning from Label Distributions

inferredcites →https://doi.org/10.1111/j.1467-8721.2009.01605.xopenalex-snapshot

Infants' Grasp of Others' Intentions

inferredcites →https://doi.org/10.1111/j.1467-9280.2008.02246.xopenalex-snapshot

You Can't Always Get What You Want

inferredcites →https://doi.org/10.1145/3094243.3094261openalex-snapshot

Real-Time Illegal Parking Detection System Based on Deep Learning

inferredcites →https://doi.org/10.1145/3123266.3123343openalex-snapshot

Single Shot Temporal Action Detection

inferredcites →https://doi.org/10.1609/aaai.v32i1.12234openalex-snapshot

Exploring Temporal Preservation Networks for Precise Temporal Action Localization

inferredcites →https://doi.org/10.1609/aaai.v33i01.33015008openalex-snapshot

Soft Facial Landmark Detection by Label Distribution Learning

inferredcites →https://doi.org/10.4108/eai.3-12-2015.2262516openalex-snapshot

A Deep Learning Approach for Network Intrusion Detection System

inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot

Two-Stream Convolutional Networks for Action Recognition in Videos

inferredcites →https://doi.org/10.48550/arxiv.1507.02159openalex-snapshot

Towards Good Practices for Very Deep Two-Stream ConvNets

inferredcites →https://doi.org/10.48550/arxiv.1806.11328openalex-snapshot

A flexible model for training action localization with varying levels of supervision

inferredcites →https://doi.org/10.48550/arxiv.2112.10057openalex-snapshot

Precondition and Effect Reasoning for Action Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4179223openalex-extracted

inferred← citeshttps://doi.org/10.1007/s10489-022-04261-1openalex-snapshot

Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118965openalex-snapshot

Prototype Contrastive Learning for Point-Supervised Temporal Action Detection

inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109595openalex-snapshot

Semantics-enhanced early action detection using dynamic dilated convolution

inferred← citeshttps://doi.org/10.1109/iros55552.2023.10342442openalex-snapshot

The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3548515openalex-snapshot

BRTAL: Boundary Refinement Temporal Action Localization via Offset-Driven Diffusion Models

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3588710openalex-snapshot

BFSTAL: Bidirectional Feature Splitting With Cross-Layer Fusion for Temporal Action Localization

inferred← citeshttps://doi.org/10.1109/tip.2024.3364539openalex-snapshot

Uncertainty Modeling for Gaze Estimation

inferred← citeshttps://doi.org/10.1109/tip.2024.3494600openalex-snapshot

Pro2Diff: Proposal Propagation for Multi-Object Tracking via the Diffusion Model

inferred← citeshttps://doi.org/10.1109/tpami.2025.3538675openalex-snapshot

Transferable Unintentional Action Localization With Language-Guided Intention Translation

inferred← citeshttps://doi.org/10.1145/3610930openalex-snapshot

Wi-Flex

inferred← citeshttps://doi.org/10.53799/ajse.v22i3.841openalex-snapshot

Probabilistic Modeling for Conditional Statements

inferred← citeshttps://doi.org/10.54097/hset.v12i.1444openalex-snapshot

Weakly-Supervised and Unsupervised Video Anomaly Detection

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