mlsanityData to 14 Oct 2026

An end-to-end generative framework for video segmentation and recognition

arXiv 1509.01947 ↗First posted 7 Sep 2015cs.CVcited by 61

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Abstract (arXiv)

We describe an end-to-end generative approach for the segmentation and recognition of human activities. In this approach, a visual representation based on reduced Fisher Vectors is combined with a structured temporal model for recognition. We show that the statistical properties of Fisher Vectors make them an especially suitable front-end for generative models such as Gaussian mixtures. The system is evaluated for both the recognition of complex activities as well as their parsing into action units. Using a variety of video datasets ranging from human cooking activities to animal behaviors, our experiments demonstrate that the resulting architecture outperforms state-of-the-art approaches for larger datasets, i.e. when sufficient amount of data is available for training structured generative models.

Key facts. Cited by 61 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Sep 2015.

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Citing papers per year: 2021: 20; 2022: 12; 2023: 12; 2024: 6; 2025: 7; 2026: 4.

61 papers.

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  1. 2021ASFormer: Transformer for Action Segmentationcited by 168
  2. 2022Temporal Action Segmentation: An Analysis of Modern Techniquescited by 85
  3. 2021Generic Event Boundary Detection: A Benchmark for Event Segmentationcited by 65
  4. 2021Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentationcited by 58
  5. 2022Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translationcited by 55
  6. 2021Unsupervised Action Segmentation by Joint Representation Learning and Online Clusteringcited by 49
  7. 2021Temporal Action Segmentation from Timestamp Supervisioncited by 48
  8. 2021Global2Local: Efficient Structure Search for Video Action Segmentationcited by 42
  9. 2023How Much Temporal Long-Term Context is Needed for Action Segmentation?cited by 36
  10. 2021Action Shuffle Alternating Learning for Unsupervised Action Segmentationcited by 33
  11. 2021Coarse to Fine Multi-Resolution Temporal Convolutional Networkcited by 28
  12. 2023Learning to Ground Instructional Articles in Videos through Narrationscited by 28
38 more
  1. 2021Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activitiescited by 26
  2. 2021Action Segmentation with Mixed Temporal Domain Adaptationcited by 21
  3. 2024Hierarchical Vector Quantization for Unsupervised Action Segmentationcited by 19
  4. 2022Timestamp-Supervised Action Segmentation with Graph Convolutional Networkscited by 18
  5. 2023Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignmentcited by 17
  6. 2021FIFA: Fast Inference Approximation for Action Segmentationcited by 16
  7. 2021Temporal Action Segmentation with High-level Complex Activity Labelscited by 16
  8. 2021SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentationcited by 15
  9. 2022Cross-Enhancement Transformer for Action Segmentationcited by 14
  10. 2024FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotationcited by 12
  11. 2021Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videoscited by 11
  12. 2023OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentationcited by 11
  13. 2024Step Differences in Instructional Videocited by 11
  14. 2021Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networkscited by 10
  15. 2021Sign Segmentation with Changepoint-Modulated Pseudo-Labellingcited by 10
  16. 2022Do we really need temporal convolutions in action segmentation?cited by 10
  17. 2022RF-Next: Efficient Receptive Field Search for Convolutional Neural Networkscited by 10
  18. 2023Leveraging triplet loss for unsupervised action segmentationcited by 10
  19. 2021Anchor-Constrained Viterbi for Set-Supervised Action Segmentationcited by 8
  20. 2021CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentationcited by 7
  21. 2025F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videoscited by 7
  22. 2022A-ACT: Action Anticipation through Cycle Transformationscited by 6
  23. 2022Robust Action Segmentation from Timestamp Supervisioncited by 6
  24. 2025Skeleton Motion Words for Unsupervised Skeleton-Based Temporal Action Segmentationcited by 6
  25. 2021Review of Video Predictive Understanding: Early Action Recognition and Future Action Predictioncited by 5
  26. 2022A Circular Window-based Cascade Transformer for Online Action Detectioncited by 4
  27. 2022Timestamp-Supervised Action Segmentation from the Perspective of Clusteringcited by 4
  28. 2023Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentationcited by 4
  29. 2023Temporal Segment Transformer for Action Segmentationcited by 3
  30. 2026HOI-aware Adaptive Network for Weakly-supervised Action Segmentationcited by 3
  31. 2023DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentationcited by 2
  32. 2024ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomycited by 2
  33. 2024Faster Diffusion Action Segmentationcited by 2
  34. 2025Pose-Aware Weakly-Supervised Action Segmentationcited by 2
  35. 2021Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolutioncited by 1
  36. 2023Is there progress in activity progress prediction?cited by 1
  37. 2023SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentationcited by 1
  38. 2024Temporal2Seq: A Unified Framework for Temporal Video Understanding Taskscited by 1

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