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Weakly Supervised Energy-Based Learning for Action Segmentation
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_41openalex-snapshot
Weakly Supervised Action Labeling in Videos under Ordering Constraints
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_3openalex-snapshot
Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_9openalex-snapshot
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
inferredcites →https://doi.org/10.1016/j.cviu.2017.06.004openalex-snapshot
Weakly supervised learning of actions from transcripts
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
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.2016.216openalex-snapshot
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection
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.2016.341openalex-snapshot
Temporal Action Detection Using a Statistical Language Model
inferredcites →https://doi.org/10.1109/cvpr.2017.113openalex-snapshot
Temporal Convolutional Networks for Action Segmentation and Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.140openalex-snapshot
Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling
inferredcites →https://doi.org/10.1109/cvpr.2017.364openalex-snapshot
Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs
inferredcites →https://doi.org/10.1109/cvpr.2018.00627openalex-snapshot
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints
inferredcites →https://doi.org/10.1109/cvpr.2018.00681openalex-snapshot
Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment
inferredcites →https://doi.org/10.1109/cvpr.2018.00705openalex-snapshot
Temporal Deformable Residual Networks for Action Segmentation in Videos
inferredcites →https://doi.org/10.1109/cvpr.2018.00771openalex-snapshot
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
inferredcites →https://doi.org/10.1109/cvpr.2019.00366openalex-snapshot
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
inferredcites →https://doi.org/10.1109/icassp.1997.599580openalex-snapshot
Reading checks with multilayer graph transformer networks
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/10.1145/3126686.3126755openalex-snapshot
CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1705.07818openalex-snapshot
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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FIFA: Fast Inference Approximation for Action Segmentation
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/10.1007/978-3-031-19772-7_25openalex-snapshot
Action Quality Assessment with Temporal Parsing Transformer
inferred← citeshttps://doi.org/10.1007/978-3-031-19778-9_38openalex-snapshot
My View is the Best View: Procedure Learning from Egocentric Videos
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/10.1007/978-3-031-26316-3_29openalex-snapshot
BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-72970-6_10openalex-snapshot
Two-Stage Active Learning for Efficient Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-032-36987-1_3openalex-snapshot
LogFA: Feature-Space Data Augmentation in Long Egocentric Videos Using Foundation Models
inferred← citeshttps://doi.org/10.1007/978-981-99-8537-1_16openalex-snapshot
Prototypical Transformer for Weakly Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1007/s10618-023-00974-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cviu.2021.103298openalex-snapshot
Weakly supervised action segmentation with effective use of attention and self-attention
inferred← citeshttps://doi.org/10.1016/j.cviu.2025.104435openalex-snapshot
Continuous hand gesture recognition: Benchmarks and methods
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.cviu.2026.104891openalex-snapshot
PAL: Predictive Action Logic for online action segmentation
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121788openalex-snapshot
Closed loop networks for open-set semi-supervised learning
inferred← citeshttps://doi.org/10.1038/s41598-025-32817-xopenalex-snapshot
Enhanced YOLOv8 for accurate and efficient floating object detection on water surfaces
inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00073openalex-snapshot
Depthwise Separable Temporal Convolutional Network for Action Segmentation
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/cvpr42600.2020.00058openalex-snapshot
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00081openalex-snapshot
Intra- and Inter-Action Understanding via Temporal Action Parsing
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01083openalex-snapshot
Set-Constrained Viterbi for Set-Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00826openalex-snapshot
Temporal Action Segmentation from Timestamp Supervision
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00829openalex-snapshot
Learning Discriminative Prototypes with Dynamic Time Warping
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00968openalex-snapshot
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01002openalex-snapshot
Learning to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01107openalex-snapshot
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01244openalex-snapshot
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00292openalex-snapshot
Temporal Alignment Networks for Long-term Video
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00332openalex-snapshot
Fast and Unsupervised Action Boundary Detection for Action Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00334openalex-snapshot
Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01341openalex-snapshot
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01928openalex-snapshot
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency
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/cvpr52733.2024.01722openalex-snapshot
Progress-Aware Online Action Segmentation for Egocentric Procedural Task Videos
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01728openalex-snapshot
Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01765openalex-snapshot
Error Detection in Egocentric Procedural Task Videos
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00315openalex-snapshot
A New Dataset and Approach for Timestamp Supervised Action Segmentation Using Human Object Interaction
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00520openalex-snapshot
Leveraging triplet loss for unsupervised action segmentation
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00015openalex-snapshot
Pose-Aware Weakly-Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/ic-nidc54101.2021.9660442openalex-snapshot
A Temporal Convolutional Network for Weakly Supervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887693openalex-snapshot
Cluster-Refined Optimal Transport for Unsupervised Action Segmentation
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462721openalex-snapshot
Measuring and Reducing Intrinsic Boundary Noise in Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00797openalex-snapshot
Generic Event Boundary Detection: A Benchmark for Event Segmentation
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00798openalex-snapshot
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
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Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00929openalex-snapshot
Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00933openalex-snapshot
Error Recognition in Procedural Videos Using Generalized Task Graph
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.01309openalex-snapshot
Multi-Modal Few-Shot Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506759openalex-snapshot
Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities
inferred← citeshttps://doi.org/10.1109/icme52920.2022.9859626openalex-snapshot
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/icsece61636.2024.10729446openalex-snapshot
Gaussian Sliding Window Smoothing for Human Action Segmentation
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981351openalex-snapshot
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/ro-man57019.2023.10309435openalex-snapshot
I³: Interactive Iterative Improvement for Few-Shot Action Segmentation
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3358547openalex-snapshot
Weakly-Supervised Action Learning in Procedural Task Videos via Process Knowledge Decomposition
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3417392openalex-snapshot
Positive and Negative Set Designs in Contrastive Feature Learning for Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3596325openalex-snapshot
Unsupervised Action Segmentation via Multi-Scale Temporal-Interaction Enhancement
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3672129openalex-snapshot
Learning Video Alignment for Unsupervised Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2023.3242980openalex-snapshot
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Temporal Action Segmentation With High-Level Complex Activity Labels
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SMC-NCA: Semantic-Guided Multi-Level Contrast for Semi-Supervised Temporal Action Segmentation
inferred← citeshttps://doi.org/10.1109/tmm.2025.3535331openalex-snapshot
Cluster Assumption-Guided Timestamp-Supervised Temporal 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.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
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Multi-Task Learning of Object States and State-Modifying Actions From Web Videos
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Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
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Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
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A Cluster-Based Method for Action Segmentation Using Spatio-Temporal and Positional Encoded Embeddings
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Action Segmentation through Self-Supervised Video Features and Positional-Encoded Embeddings
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Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation
inferred← citeshttps://doi.org/10.17760/d20384360openalex-snapshot
Weakly-supervised subspace clustering for sequential data
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A CLUSTER-BASED METHOD FOR ACTION SEGMENTATION USING SPATIO-TEMPORAL AND POSITIONAL ENCODED EMBEDDINGS
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HOI-aware Adaptive Network for Weakly-supervised Action Segmentation
inferred← citeshttps://doi.org/10.24963/ijcai.2023/77openalex-snapshot
Timestamp-Supervised Action Segmentation from the Perspective of Clustering
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A Survey of Human Action Recognition and Posture Prediction
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End to End Alignment Learning of Instructional Videos with Spatiotemporal Hybrid Encoding and Decoding Space Reduction
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On Evaluating Weakly Supervised Action Segmentation Methods
inferred← citeshttps://doi.org/10.48550/arxiv.2104.02116openalex-snapshot
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
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Procedure Completion by Learning from Partial Summaries
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Learning to localize goal-oriented actions with weak supervision
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