mlsanityData to 7 Oct 2026

Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos

arXiv 1703.10898 ↗First posted 31 Mar 2017cs.CVcited by 40

Not on the map. Why?

Abstract (arXiv)

Deep ConvNets have been shown to be effective for the task of human pose estimation from single images. However, several challenging issues arise in the video-based case such as self-occlusion, motion blur, and uncommon poses with few or no examples in training data sets. Temporal information can provide additional cues about the location of body joints and help to alleviate these issues. In this paper, we propose a deep structured model to estimate a sequence of human poses in unconstrained videos. This model can be efficiently trained in an end-to-end manner and is capable of representing appearance of body joints and their spatio-temporal relationships simultaneously. Domain knowledge about the human body is explicitly incorporated into the network providing effective priors to regularize the skeletal structure and to enforce temporal consistency. The proposed end-to-end architecture is evaluated on two widely used benchmarks (Penn Action dataset and JHMDB dataset) for video-based pose estimation. Our approach significantly outperforms the existing state-of-the-art methods.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Mar 2017.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 11; 2022: 9; 2023: 8; 2024: 5; 2025: 7.

40 papers.

Sort:

By area:

  1. 2021Deep Dual Consecutive Network for Human Pose Estimationcited by 51
  2. 2021Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspectivecited by 49
  3. 2023DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimationcited by 36
  4. 2021Test-Time Personalization with a Transformer for Human Pose Estimationcited by 33
  5. 2021Skip-Convolutions for Efficient Video Processingcited by 32
  6. 2021ViPNAS: Efficient Video Pose Estimation via Neural Architecture Searchcited by 26
  7. 2022Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learningcited by 26
  8. 2021Shape-aware Multi-Person Pose Estimation from Multi-View Imagescited by 24
  9. 2022Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimationcited by 24
  10. 20222D Human Pose Estimation: A Surveycited by 21
  11. 2024VideoMAC: Video Masked Autoencoders Meet ConvNetscited by 20
  12. 2023Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Videocited by 17
28 more
  1. 2021Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learningcited by 16
  2. 2022Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generationcited by 14
  3. 2022Semantic-Aware Fine-Grained Correspondencecited by 13
  4. 2022Spatial-then-Temporal Self-Supervised Learning for Video Correspondencecited by 13
  5. 2021Relation-Based Associative Joint Location for Human Pose Estimation in Videoscited by 7
  6. 2024Joint-Motion Mutual Learning for Pose Estimation in Videoscited by 7
  7. 2023Human Pose-based Estimation, Tracking and Action Recognition with Deep Learning: A Surveycited by 6
  8. 2023Deep Learning Approaches for Seizure Video Analysis: A Reviewcited by 6
  9. 2021Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learningcited by 5
  10. 2022Transfer of Representations to Video Label Propagation: Implementation Factors Mattercited by 5
  11. 2022A Temporal Densely Connected Recurrent Network for Event-based Human Pose Estimationcited by 5
  12. 2023Learning Fine-Grained Features for Pixel-wise Video Correspondencescited by 4
  13. 2024Human Modelling and Pose Estimation Overviewcited by 4
  14. 2025High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimationcited by 4
  15. 2021Self-supervised Secondary Landmark Detection via 3D Representation Learningcited by 3
  16. 2023Improving Multi-Person Pose Tracking with A Confidence Networkcited by 3
  17. 2022Kinematics Modeling Network for Video-based Human Pose Estimationcited by 2
  18. 2023ResQ: Residual Quantization for Video Perceptioncited by 2
  19. 2023Deep Dependency Networks for Multi-Label Classificationcited by 1
  20. 2025FootFormer: Estimating Stability from Visual Inputcited by 1
  21. 2021DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectorscited by 0
  22. 2024Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classificationcited by 0
  23. 2024Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentationcited by 0
  24. 2025Leveraging Motion Information for Better Self-Supervised Video Correspondence Learningcited by 0
  25. 2025Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Predictioncited by 0
  26. 2025MultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanismcited by 0
  27. 2025VirtualFencer: Generating Fencing Bouts based on Strategies Extracted from In-the-Wild Videoscited by 0
  28. 2025An End-to-End Framework for Video Multi-Person Pose Estimationcited by 0