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Temporal Action Detection Using a Statistical Language Model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/csla.1994.1001openalex-snapshot
On structuring probabilistic dependences in stochastic language modelling
inferredcites →https://doi.org/10.1007/978-3-319-10605-2_50openalex-snapshot
Detecting Social Actions of Fruit Flies
inferredcites →https://doi.org/10.1016/j.cviu.2010.10.002openalex-snapshot
A survey of vision-based methods for action representation, segmentation and recognition
inferredcites →https://doi.org/10.1109/cvpr.2008.4587557openalex-snapshot
Discriminative human action segmentation and recognition using semi-Markov model
inferredcites →https://doi.org/10.1109/cvpr.2011.5995470openalex-snapshot
Joint segmentation and classification of human actions in video
inferredcites →https://doi.org/10.1109/cvpr.2012.6247801openalex-snapshot
A database for fine grained activity detection of cooking activities
inferredcites →https://doi.org/10.1109/cvpr.2014.100openalex-snapshot
Action Localization with Tubelets from Motion
inferredcites →https://doi.org/10.1109/cvpr.2014.102openalex-snapshot
Multiple Granularity Analysis for Fine-Grained Action Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.105openalex-snapshot
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.286openalex-snapshot
Temporal Sequence Modeling for Video Event Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.287openalex-snapshot
Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts
inferredcites →https://doi.org/10.1109/cvpr.2014.338openalex-snapshot
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity
inferredcites →https://doi.org/10.1109/cvpr.2014.85openalex-snapshot
Parsing Videos of Actions with Segmental Grammars
inferredcites →https://doi.org/10.1109/cvpr.2015.7298599openalex-snapshot
What do 15,000 object categories tell us about classifying and localizing actions?
inferredcites →https://doi.org/10.1109/icassp.2014.6854207openalex-snapshot
RASR/NN: The RWTH neural network toolkit for speech recognition
inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot
Action Recognition with Improved Trajectories
inferredcites →https://doi.org/10.1109/iccv.2015.517openalex-snapshot
Action Recognition by Hierarchical Mid-Level Action Elements
inferredcites →https://doi.org/10.1109/tpami.1983.4767370openalex-snapshot
A Maximum Likelihood Approach to Continuous Speech Recognition
inferredcites →https://doi.org/10.1109/tpami.2011.38openalex-snapshot
Discriminative Video Pattern Search for Efficient Action Detection
inferredcites →https://doi.org/10.1109/wacv.2014.6836046openalex-snapshot
Action in chains: A chains model for action localization and classification
inferredcites →https://doi.org/10.1109/wacv.2016.7477701openalex-snapshot
An end-to-end generative framework for video segmentation and recognition
inferredcites →https://doi.org/10.1145/2493432.2493482openalex-snapshot
Combining embedded accelerometers with computer vision for recognizing food preparation activities
inferredcites →https://doi.org/10.1145/2733373.2806226openalex-snapshot
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot
UCF-101: A dataset of 101 human actions classes from videos in the wild
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.5244/c.29.177openalex-snapshot
APT: Action localization proposals from dense trajectories
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-00767-6_23openalex-snapshot
Frame Segmentation Networks for Temporal Action Localization
inferred← citeshttps://doi.org/10.1007/978-3-030-00937-3_29openalex-snapshot
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-01219-9_33openalex-snapshot
Online Detection of Action Start in Untrimmed, Streaming Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-01225-0_35openalex-snapshot
W-TALC: Weakly-Supervised Temporal Activity Localization and Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-01240-3_16openalex-snapshot
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
inferred← citeshttps://doi.org/10.1007/978-3-030-01270-0_10openalex-snapshot
AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos
inferred← citeshttps://doi.org/10.1007/978-3-030-05710-7_3openalex-snapshot
STMP: Spatial Temporal Multi-level Proposal Network for Activity Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-20870-7_43openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-20890-5_36openalex-snapshot
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1007/978-3-030-31726-3_40openalex-snapshot
Exploiting Human Pose for Weakly-Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1007/978-3-030-37731-1_45openalex-snapshot
Action Co-localization in an Untrimmed Video by Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-58517-4_10openalex-snapshot
Temporal Aggregate Representations for Long-Range Video Understanding
inferred← citeshttps://doi.org/10.1007/978-3-030-58595-2_3openalex-snapshot
Boundary-Aware Cascade Networks for Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-030-60639-8_4openalex-snapshot
Multi-level Temporal Pyramid Network for Action Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-19772-7_17openalex-snapshot
A Generalized and Robust Framework for Timestamp Supervision in Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-19833-5_4openalex-snapshot
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
inferred← citeshttps://doi.org/10.1007/978-3-031-27818-1_46openalex-snapshot
CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-319-49409-8_7openalex-snapshot
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-319-57021-1_19openalex-snapshot
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-16-8885-0_24openalex-snapshot
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
inferred← citeshttps://doi.org/10.1007/978-981-16-9669-5_24openalex-snapshot
ChefAI Text to Instructional Visualization Using Amazon Web Services
inferred← citeshttps://doi.org/10.1007/978-981-97-0885-7_5openalex-snapshot
MS-MH-TCN: Multi-Stage and Multi-Head Temporal Convolutional Network for Action Segmentation
inferred← citeshttps://doi.org/10.1007/s10462-021-10061-9openalex-snapshot
Deep reinforcement learning in computer vision: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s10489-022-03382-xopenalex-snapshot
Bottom-up improved multistage temporal convolutional network for action segmentation
inferred← citeshttps://doi.org/10.1007/s10489-022-03569-2openalex-snapshot
A temporal and channel-combined attention block for action segmentation
inferred← citeshttps://doi.org/10.1007/s11042-022-12720-7openalex-snapshot
A coarse-to-fine temporal action detection method combining light and heavy networks
inferred← citeshttps://doi.org/10.1007/s11042-022-13792-1openalex-snapshot
Weakly supervised coarse-to-fine learning for human action segmentation in HCI videos
inferred← citeshttps://doi.org/10.1007/s11063-021-10622-7openalex-snapshot
Proposal-Based Graph Attention Networks for Workflow Detection
inferred← citeshttps://doi.org/10.1007/s11063-022-11133-9openalex-snapshot
Dilated Transformer with Feature Aggregation Module for Action Segmentation
inferred← citeshttps://doi.org/10.1007/s11227-020-03514-5openalex-snapshot
Video reasoning for conflict events through feature extraction
inferred← citeshttps://doi.org/10.1007/s11227-022-04649-3openalex-snapshot
A time sequence location method of long video violence based on improved C3D network
inferred← citeshttps://doi.org/10.1007/s11263-019-01211-2openalex-snapshot
Temporal Action Detection with Structured Segment Networks
inferred← citeshttps://doi.org/10.1007/s11263-022-01702-9openalex-snapshot
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
inferred← citeshttps://doi.org/10.1007/s11263-023-01921-8openalex-snapshot
Local Compressed Video Stream Learning for Generic Event Boundary Detection
inferred← citeshttps://doi.org/10.1007/s11263-024-02272-8openalex-snapshot
Achieving Procedure-Aware Instructional Video Correlation Learning Under Weak Supervision from a Collaborative Perspective
inferred← citeshttps://doi.org/10.1007/s11263-025-02703-0openalex-snapshot
Towards Generalizing Temporal Action Segmentation to Unseen Views
inferred← citeshttps://doi.org/10.1016/j.cviu.2016.10.018openalex-snapshot
The THUMOS challenge on action recognition for videos “in the wild”
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.06.004openalex-snapshot
Weakly supervised learning of actions from transcripts
inferred← citeshttps://doi.org/10.1016/j.cviu.2021.103256openalex-snapshot
SAPS: Self-Attentive Pathway Search for weakly-supervised action localization with background-action augmentation
inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104849openalex-snapshot
Looking into the unknown: Exploring Action Discovery for segmentation of known and unknown actions
inferred← citeshttps://doi.org/10.1016/j.displa.2022.102212openalex-snapshot
Fine-grained action segmentation based on complementary Frame-level Classification Model and Action-wise Regression Model
inferred← citeshttps://doi.org/10.1016/j.icte.2025.11.015openalex-snapshot
Action recognition: A comprehensive survey of tasks, methods, and challenges
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.12.019openalex-snapshot
Discovering spatio-temporal action tubes
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.02.003openalex-snapshot
Exploring frame segmentation networks for temporal action localization
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102628openalex-snapshot
Knowledge driven temporal activity localization
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.102818openalex-snapshot
Candidate region correlation for video action detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.03.066openalex-snapshot
Gated forward refinement network for action segmentation
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.11.085openalex-snapshot
Modeling long-term video semantic distribution for temporal action proposal generation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127482openalex-snapshot
A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127914openalex-snapshot
DITA: DETR with improved queries for end-to-end temporal action detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.107039openalex-snapshot
Fine-grained action segmentation using the semi-supervised action GAN
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107396openalex-snapshot
A novel online action detection framework from untrimmed video streams
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107831openalex-snapshot
Weakly-supervised action localization via embedding-modeling iterative optimization
inferred← citeshttps://doi.org/10.1016/j.patrec.2019.02.007openalex-snapshot
Multi-scale aggregation network for temporal action proposals
inferred← citeshttps://doi.org/10.1016/j.patrec.2020.01.023openalex-snapshot
Hierarchical Attention Network for Action Segmentation
inferred← citeshttps://doi.org/10.1108/el-08-2018-0165openalex-snapshot
Selecting a text similarity measure for a content-based recommender system
inferred← citeshttps://doi.org/10.1108/ria-01-2023-0008openalex-snapshot
Manual assembly actions segmentation system using temporal-spatial-contact features
inferred← citeshttps://doi.org/10.1109/access.2018.2872759openalex-snapshot
Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/access.2019.2940407openalex-snapshot
A Novel Method for Temporal Action Localization and Recognition in Untrimmed Video Based on Time Series Segmentation
inferred← citeshttps://doi.org/10.1109/access.2019.2946898openalex-snapshot
Learning Coarse and Fine Features for Precise Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/access.2021.3110973openalex-snapshot
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
inferred← citeshttps://doi.org/10.1109/conf-spml54095.2021.00009openalex-snapshot
Coarse-to-Fine Loss Based On Viterbi Algorithm for Weakly Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/coniin.2018.8489815openalex-snapshot
Formal programming language for Modeling Activities using Visual Primitives
inferred← citeshttps://doi.org/10.1109/cvpr.2017.113openalex-snapshot
Temporal Convolutional Networks for Action Segmentation and Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2017.140openalex-snapshot
Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling
inferred← citeshttps://doi.org/10.1109/cvpr.2017.155openalex-snapshot
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2017.342openalex-snapshot
Temporal Action Localization by Structured Maximal Sums
inferred← citeshttps://doi.org/10.1109/cvpr.2017.678openalex-snapshot
UntrimmedNets for Weakly Supervised Action Recognition and Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00124openalex-snapshot
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00627openalex-snapshot
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00705openalex-snapshot
Temporal Deformable Residual Networks for Action Segmentation in Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00706openalex-snapshot
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00771openalex-snapshot
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00873openalex-snapshot
Unsupervised Learning and Segmentation of Complex Activities from Video
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00043openalex-snapshot
Gaussian Temporal Awareness Networks for Action Localization
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00129openalex-snapshot
A Perceptual Prediction Framework for Self Supervised Event Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00369openalex-snapshot
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00372openalex-snapshot
Multi-Granularity Generator for Temporal Action Proposal
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01015openalex-snapshot
Action Recognition From Single Timestamp Supervision in Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01228openalex-snapshot
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00058openalex-snapshot
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00984openalex-snapshot
Learning Temporal Co-Attention Models for Unsupervised Video Action Localization
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01241openalex-snapshot
Multi-shot Temporal Event Localization: a Benchmark
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01653openalex-snapshot
Global2Local: Efficient Structure Search for Video Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00315openalex-snapshot
Object-Region Video Transformers
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01927openalex-snapshot
SVIP: Sequence VerIfication for Procedures in Videos
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01954openalex-snapshot
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
inferred← citeshttps://doi.org/10.1109/cvprw.2017.205openalex-snapshot
Unsupervised Human Action Detection by Action Matching
inferred← citeshttps://doi.org/10.1109/cvprw50498.2020.00192openalex-snapshot
Inferring Temporal Compositions of Actions Using Probabilistic Automata
inferred← citeshttps://doi.org/10.1109/fg.2017.150openalex-snapshot
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences
inferred← citeshttps://doi.org/10.1109/icassp.2019.8682261openalex-snapshot
Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9415101openalex-snapshot
Agent-Environment Network for Temporal Action Proposal Generation
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447851openalex-snapshot
Internal Location Assistance for Temporal Action Proposal Generation
inferred← citeshttps://doi.org/10.1109/iccst50977.2020.00068openalex-snapshot
Precise Temporal Action Detection for Fine-grained Actions
inferred← citeshttps://doi.org/10.1109/iccv.2017.20openalex-snapshot
Temporal Tessellation: A Unified Approach for Video Analysis
inferred← citeshttps://doi.org/10.1109/iccv.2017.317openalex-snapshot
Temporal Action Detection with Structured Segment Networks
inferred← citeshttps://doi.org/10.1109/iccv.2017.617openalex-snapshot
R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
inferred← citeshttps://doi.org/10.1109/iccv.2019.00095openalex-snapshot
Zero-Shot Anticipation for Instructional Activities
inferred← citeshttps://doi.org/10.1109/iccv.2019.00560openalex-snapshot
Weakly-Supervised Action Localization With Background Modeling
inferred← citeshttps://doi.org/10.1109/iccv.2019.00634openalex-snapshot
Weakly Supervised Energy-Based Learning for Action Segmentation
inferred← citeshttps://doi.org/10.1109/iccv.2019.00719openalex-snapshot
Graph Convolutional Networks for Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00950openalex-snapshot
How Much Temporal Long-Term Context is Needed for Action Segmentation?
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01272openalex-snapshot
Video Action Segmentation via Contextually Refined Temporal Keypoints
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00191openalex-snapshot
Enhancing Temporal Action Localization with Transfer Learning from Action Recognition
inferred← citeshttps://doi.org/10.1109/icecta.2017.8251935openalex-snapshot
Exploring the language modeling toolkits for Arabic text
inferred← citeshttps://doi.org/10.1109/icip.2018.8451692openalex-snapshot
Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation
inferred← citeshttps://doi.org/10.1109/icpr.2018.8545345openalex-snapshot
Weak Supervised Learning Based Abnormal Behavior Detection
inferred← citeshttps://doi.org/10.1109/icpr.2018.8546019openalex-snapshot
Continuous Action Recognition and Segmentation in Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9411986openalex-snapshot
Feature Pyramid Hierarchies for Multi-scale Temporal Action Detection
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412728openalex-snapshot
You Ought to Look Around: Precise, Large Span Action Detection
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196674openalex-snapshot
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
inferred← citeshttps://doi.org/10.1109/siprocess.2019.8868533openalex-snapshot
Category-Level Multi-Attention based Boundary Refinement for Action Detection
inferred← citeshttps://doi.org/10.1109/smc.2018.00431openalex-snapshot
TDP: Temporal Dynamic Pooling — A New Method for Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/tcsvt.2018.2887061openalex-snapshot
Fast and Accurate Action Detection in Videos With Motion-Centric Attention Model
inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3125701openalex-snapshot
Weakly Supervised Temporal Action Detection With Temporal Dependency Learning
inferred← citeshttps://doi.org/10.1109/tip.2019.2922108openalex-snapshot
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/tip.2020.3016486openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2022.3195321openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmm.2018.2866370openalex-snapshot
Temporal Action Localization in Untrimmed Videos Using Action Pattern Trees
inferred← citeshttps://doi.org/10.1109/tmm.2019.2943204openalex-snapshot
Coarse-to-Fine Localization of Temporal Action Proposals
inferred← citeshttps://doi.org/10.1109/tmm.2020.2999184openalex-snapshot
Transferable Knowledge-Based Multi-Granularity Fusion Network for Weakly Supervised Temporal Action Detection
inferred← citeshttps://doi.org/10.1109/tmm.2021.3073235openalex-snapshot
Action Coherence Network for Weakly-Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/tmm.2022.3231099openalex-snapshot
Temporal Action Segmentation With High-Level Complex Activity Labels
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2962815openalex-snapshot
AdapNet: Adaptability Decomposing Encoder–Decoder Network for Weakly Supervised Action Recognition and Localization
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3550910openalex-snapshot
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tpami.2018.2797266openalex-snapshot
Online Localization and Prediction of Actions and Interactions
inferred← citeshttps://doi.org/10.1109/tpami.2018.2884469openalex-snapshot
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2019.2921539openalex-snapshot
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection
inferred← citeshttps://doi.org/10.1109/tpami.2020.3021756openalex-snapshot
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2021.3089127openalex-snapshot
Fast Weakly Supervised Action Segmentation Using Mutual Consistency
inferred← citeshttps://doi.org/10.1109/tpami.2021.3090167openalex-snapshot
Graph Convolutional Module for Temporal Action Localization in Videos
inferred← citeshttps://doi.org/10.1109/tpami.2022.3183829openalex-snapshot
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/tpami.2022.3189662openalex-snapshot
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1109/tpami.2022.3218596openalex-snapshot
Transferring Knowledge From Text to Video: Zero-Shot Anticipation for Procedural Actions
inferred← citeshttps://doi.org/10.1109/tpami.2023.3284080openalex-snapshot
C2F-TCN: A Framework for Semi- and Fully-Supervised Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2023.3327284openalex-snapshot
Temporal Action Segmentation: An Analysis of Modern Techniques
inferred← citeshttps://doi.org/10.1109/wacv.2017.29openalex-snapshot
Efficient Action Detection in Untrimmed Videos via Multi-task Learning
inferred← citeshttps://doi.org/10.1109/wacv.2018.00174openalex-snapshot
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding
inferred← citeshttps://doi.org/10.1109/wacv.2019.00021openalex-snapshot
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/wacv.2019.00027openalex-snapshot
Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093535openalex-snapshot
Action Segmentation with Mixed Temporal Domain Adaptation
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00128openalex-snapshot
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00131openalex-snapshot
SALAD: Self-Assessment Learning for Action Detection
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00210openalex-snapshot
Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00020openalex-snapshot
Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos
inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00647openalex-snapshot
Embedding Task Structure for Action Detection
inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00435openalex-snapshot
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
inferred← citeshttps://doi.org/10.1109/wacvw50321.2020.9096912openalex-snapshot
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers
inferred← citeshttps://doi.org/10.1117/12.2591752openalex-snapshot
Multi-modal action segmentation in the kitchen with a feature fusion approach
inferred← citeshttps://doi.org/10.1145/3123266.3123343openalex-snapshot
Single Shot Temporal Action Detection
inferred← citeshttps://doi.org/10.1145/3126686.3126755openalex-snapshot
CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos
inferred← citeshttps://doi.org/10.1145/3206025.3206029openalex-snapshot
Precise Temporal Action Localization by Evolving Temporal Proposals
inferred← citeshttps://doi.org/10.1145/3240508.3240511openalex-snapshot
Step-by-step Erasion, One-by-one Collection
inferred← citeshttps://doi.org/10.1145/3343031.3351044openalex-snapshot
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1145/3469877.3490595openalex-snapshot
Hierarchical Deep Residual Reasoning for Temporal Moment Localization
inferred← citeshttps://doi.org/10.1186/s12984-020-0647-0openalex-snapshot
GEARing smart environments for pediatric motor rehabilitation
inferred← citeshttps://doi.org/10.1609/aaai.v32i1.12234openalex-snapshot
Exploring Temporal Preservation Networks for Precise Temporal Action Localization
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33018328openalex-snapshot
Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33019070openalex-snapshot
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33019227openalex-snapshot
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
inferred← citeshttps://doi.org/10.1609/aaai.v34i04.5893openalex-snapshot
Graph Attention Based Proposal 3D ConvNets for Action Detection
inferred← citeshttps://doi.org/10.1609/aaai.v34i07.6793openalex-snapshot
Background Suppression Network for Weakly-Supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.1609/aaai.v34i07.6829openalex-snapshot
Progressive Boundary Refinement Network for Temporal Action Detection
inferred← citeshttps://doi.org/10.1609/aaai.v38i3.27983openalex-snapshot
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
inferred← citeshttps://doi.org/10.17023/6g0d-1457openalex-snapshot
Agent-Environment Network For Temporal Action Proposal Generation
inferred← citeshttps://doi.org/10.23919/chicc.2018.8483485openalex-snapshot
Weak Supervised Detection of Abnormal Behavior
inferred← citeshttps://doi.org/10.32604/cmc.2023.042494openalex-snapshot
Action Recognition and Detection Based on Deep Learning: A Comprehensive Summary
inferred← citeshttps://doi.org/10.32657/10356/72329openalex-snapshot
On-line human activity recognition in video streams
inferred← citeshttps://doi.org/10.3390/app11114954openalex-snapshot
End to End Alignment Learning of Instructional Videos with Spatiotemporal Hybrid Encoding and Decoding Space Reduction
inferred← citeshttps://doi.org/10.3390/electronics11213520openalex-snapshot
BTM: Boundary Trimming Module for Temporal Action Detection
inferred← citeshttps://doi.org/10.3390/modelling5020029openalex-snapshot
A State-Based Language for Enhanced Video Surveillance Modeling (SEL)
inferred← citeshttps://doi.org/10.3390/s18051657openalex-snapshot
Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation
inferred← citeshttps://doi.org/10.3390/s20102953openalex-snapshot
Unsupervised Action Proposals Using Support Vector Classifiers for Online Video Processing
inferred← citeshttps://doi.org/10.37394/23209.2025.22.9openalex-snapshot
Polynomial Regression and Faster R-CNN Models for University Library Decision Implementation Discovery based on Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1610.02237openalex-snapshot
Weakly supervised learning of actions from transcripts
inferred← citeshttps://doi.org/10.48550/arxiv.1611.05267openalex-snapshot
Temporal Convolutional Networks for Action Segmentation and Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1612.00558openalex-snapshot
Unsupervised Human Action Detection by Action Matching
inferred← citeshttps://doi.org/10.48550/arxiv.1612.06950openalex-snapshot
Temporal Tessellation: A Unified Approach for Video Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.1703.02716openalex-snapshot
A Pursuit of Temporal Accuracy in General Activity Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1704.06228openalex-snapshot
Temporal Action Detection with Structured Segment Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1705.07818openalex-snapshot
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1706.04269openalex-snapshot
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
inferred← citeshttps://doi.org/10.48550/arxiv.1707.06436openalex-snapshot
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
inferred← citeshttps://doi.org/10.48550/arxiv.1712.00097openalex-snapshot
Budget-Aware Activity Detection with A Recurrent Policy Network
inferred← citeshttps://doi.org/10.48550/arxiv.1801.09184openalex-snapshot
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1803.05790openalex-snapshot
Temporal Human Action Segmentation via Dynamic Clustering
inferred← citeshttps://doi.org/10.48550/arxiv.1807.02929openalex-snapshot
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector
inferred← citeshttps://doi.org/10.48550/arxiv.1807.08333openalex-snapshot
AutoLoc: Weakly-supervised Temporal Action Localization
inferred← citeshttps://doi.org/10.48550/arxiv.1808.08803openalex-snapshot
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions
inferred← citeshttps://doi.org/10.48550/arxiv.1812.10000openalex-snapshot
Similarity R-C3D for Few-shot Temporal Activity Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1906.01004openalex-snapshot
Frontal Low-rank Random Tensors for Fine-grained Action Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1909.03877openalex-snapshot
Gaussian Temporal Awareness Networks for Action Localization
inferred← citeshttps://doi.org/10.48550/arxiv.1909.09269openalex-snapshot
Fine-grained Action Segmentation using the Semi-Supervised Action GAN
inferred← citeshttps://doi.org/10.48550/arxiv.2004.13217openalex-snapshot
Inferring Temporal Compositions of Actions Using Probabilistic Automata
inferred← citeshttps://doi.org/10.48550/arxiv.2012.09434openalex-snapshot
Multi-shot Temporal Event Localization: a Benchmark
inferred← citeshttps://doi.org/10.48550/arxiv.2101.08540openalex-snapshot
Activity Graph Transformer for Temporal Action Localization
inferred← citeshttps://doi.org/10.48550/arxiv.2105.10859openalex-snapshot
Coarse to Fine Multi-Resolution Temporal Convolutional Network
inferred← citeshttps://doi.org/10.48550/arxiv.2110.08568openalex-snapshot
ASFormer: Transformer for Action Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.2112.00302openalex-snapshot
Graph Convolutional Module for Temporal Action Localization in Videos
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