Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling

Richard, Alexander, Kuehne, Hilde, Gall, Juergen·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (196)

Items 101–196 of 196

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  2. OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation
    Yuerong Li, Zhengrong Xue, Huazhe Xu · 2024 · IEEE Winter Conference on Applications of Computer Vision
  3. Dynamic Group Interactions in Collaborative Learning Videos
    Wenjing Shi, Marios S. Pattichis, Sylvia Celedón‐Pattichis, Carlos Alfonso LópezLeiva · 2018 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
  4. MV-TAL: Mulit-view Temporal Action Localization in Naturalistic Driving
    Wei Li, Shimin Chen, Jianyang Gu, Ning Wang, Chen Chen, Yandong Guo · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  5. Context-Sensitive Human Activity Classification in Collaborative Learning Environments
    Abigail Ruth Jacoby, Marios S. Pattichis, Sylvia Celedón‐Pattichis, Carlos Alfonso LópezLeiva · 2018 · IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
  6. Depthwise Separable Temporal Convolutional Network for Action Segmentation
    Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann B · 2020 · International Conference on 3D Vision (3DV)
  7. Weakly supervised action segmentation with effective use of attention and self-attention
    Yan Bin Ng, Basura Fernando · 2021 · Computer Vision and Image Understanding
  8. Using open surgery simulation kinematic data for tool and gesture recognition
    Adam Goldbraikh, Tomer Volk, Carla M. Pugh, Shlomi Laufer · 2022 · International Journal of Computer Assisted Radiology and Surgery
  9. Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance
    Dixin Luo, Yutong Wang, Angxiao Yue, Hongteng Xu · 2022 · ACM International Conference on Multimedia (ACM MM)
  10. A New Dataset and Approach for Timestamp Supervised Action Segmentation Using Human Object Interaction
    Saif Sayed, Reza Ghoddoosian, Bhaskar Trivedi, Vassilis Athitsos · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  11. Two-Stage Active Learning for Efficient Temporal Action Segmentation
    Yan Su, Ehsan Elhamifar · 2024 · Lecture notes in computer science
  12. Multi-modal temporal action segmentation for manufacturing scenarios
    Laura Romeo, Roberto Marani, Anna Gina Perri, Jüergen Gall · 2025 · Engineering Applications of Artificial Intelligence
  13. Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition
    Haoyu Chen, Xin Liu, Guoying Zhao · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  14. HOI-aware Adaptive Network for Weakly-supervised Action Segmentation
    Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap‐Peng Tan · 2023 · International Joint Conference on Artificial Intelligence
  15. Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding
    Nakul Agarwal, Yi‐Ting Chen · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  16. Random Walks for Temporal Action Segmentation with Timestamp Supervision
    Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin · 2024 · IEEE Winter Conference on Applications of Computer Vision
  17. Manual assembly actions segmentation system using temporal-spatial-contact features
    Zengxin Kang, Jing Cui, Zhongyi Chu · 2023 · Robotic Intelligence and Automation
  18. Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
    Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev A, James Matthew Rehg · 2018 · arXiv (Cornell University)
  19. Semantically Guided Representation Learning For Action Anticipation
    Anxhelo Diko, Danilo Avola, Bardh Prenkaj, Federico Fontana, Luigi Cinque · 2024 · Lecture notes in computer science
  20. U-Transformer-based multi-levels refinement for weakly supervised action segmentation
    Xiao Ke, Xin Miao, Wenzhong Guo · 2023 · Pattern Recognition
  21. Enhancing Temporal Action Localization with Transfer Learning from Action Recognition
    Ahsan Iqbal, Alexander Richard, Jüergen Gall · 2019 · IEEE International Conference on Computer Vision Workshops
  22. Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task
    Christopher Thomas, Adriana Kovashka · 2021 · International Journal of Computer Vision
  23. A temporal and channel-combined attention block for action segmentation
    Dawei Yang, Zhe Cao, Lin Mao, Rubo Zhang · 2022 · Applied Intelligence
  24. Efficient Two-Stream Network for Online Video Action Segmentation
    Minseok Kang, Rae‐Hong Park, Hyung‐Min Park · 2022 · IEEE Access
  25. Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring
    Ramy Mounir, Ahmed Shahabaz, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar · 2023 · International Journal of Computer Vision
  26. Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
    Reza Ghoddoosian, S. Sayed, V. Athitsos · 2020 · IEEE Workshop/Winter Conference on Applications of Computer Vision
  27. Etna: Harvesting Action Graphs from Websites
    Oriana Riva, Jason Kace · 2021 · ACM Symposium on User Interface Software and Technology (UIST)
  28. On Evaluating Weakly Supervised Action Segmentation Methods
    Yaser Souri, Alexander Richard, Luca Minciullo, Jüergen Gall · 2020 · arXiv (Cornell University)
  29. Enhancing action recognition by leveraging the hierarchical structure of actions and textual context
    Manuel Benavent-Lledó, David Mulero-Pérez, David Ortiz-Pérez, Jose Garcia-Rodriguez, Antonis Argyros · 2025 · Computer Vision and Image Understanding
  30. Language-guided temporal primitive modeling for skeleton-based action recognition
    Qingzhe Pan, Xuemei Xie · 2024 · Neurocomputing
  31. Multi-shot Temporal Event Localization: a Benchmark
    Xiaolong Liu, Yao Guang Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr · 2020 · arXiv (Cornell University)
  32. Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering.
    Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran · 2021 · arXiv (Cornell University)
  33. Self-supervised temporal event segmentation inspired by cognitive theories
    Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar · 2022 · Elsevier eBooks
  34. Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation
    Yang Li, Kan Li, Xinxin Wang · 2018 · International Joint Conference on Artificial Intelligence
  35. Towards Train-Test Consistency for Semi-supervised Temporal Action Localization
    Xudong Lin, Zheng Shou, Shih‐Fu Chang · 2019 · arXiv (Cornell University)
  36. Semi-supervised sequence modeling for improved behavioral segmentation
    Matthew R Whiteway, Evan Schaffer, Anqi Wu, E. Kelly Buchanan, Omer Fahri Onder, Neeli Mishra, Liam Paninski · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  37. Unsupervised Action Segmentation for Instructional Videos
    AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo, Irfan A. Essa · 2021 · arXiv (Cornell University)
  38. Action Segmentation through Self-Supervised Video Features and Positional-Encoded Embeddings
    Guilherme de A. P. Marques, José Matheus Carvalho Boaro, Antonio José G. Busson, Álan L. V. Guedes, Júlio César Duarte, Sérgio Colcher · 2024 · ACM Transactions on Multimedia Computing Communications and Applications
  39. Context Sensitive Network for weakly-supervised fine-grained temporal action localization
    Cerui Dong, Qinying Liu, Zilei Wang, Yixin Zhang, Feng Zhao · 2025 · Neural Networks
  40. Spatio-Temporal Event Segmentation for Wildlife Extended Videos
    Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar · 2022 · Communications in computer and information science
  41. AutoLoc: Weakly-supervised Temporal Action Localization
    Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, Shih-Fu Chang · 2018 · European Conference on Computer Vision
  42. LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization
    Xudong Lin, Zheng Shou, Shih‐Fu Chang · 2019 · arXiv (Cornell University)
  43. Action Shuffle Alternating Learning for Unsupervised Action Segmentation
    Jun Li, Siniša Todorović · 2021 · arXiv (Cornell University)
  44. Procedure segmentation in videos with Bayesian Neural ODE model (BNODE)
    Sainithin Artham, Soharab Hossain Shaikh · 2024 · Neural Computing and Applications
  45. Improving action segmentation via explicit similarity measurement
    Aouaidjia Kamel, Wenhao Zhang, Aofan Li, Chongsheng Zhang · 2025 · Engineering Applications of Artificial Intelligence
  46. Complex Action Segmentation in Compressed Videos
    Hongfeng Han, Guoxing Yang, Yuqi Huo, Zhiwu Lu, Ji-Rong Wen · 2021 · IEEE International Conference on Multimedia and Expo (ICME)
  47. Temporal Action Segmentation in Sign Language System for Bahasa Indonesia (SIBI) Videos Using Optical Flow-Based Approach
    I Dewa Made Bayu Atmaja Darmawan, Linawati Linawati, Gede Sukadarmika, Ni Made Ary Esta Dewi Wirastuti, Reza Pulungan · 2024 · Jurnal Ilmu Komputer dan Informasi
  48. Leveraging Surgical Activity Grammar for Primary Intention Prediction in Laparoscopy Procedures
    Jie Zhang, Song Zhou, Yiwei Wang, Chidan Wan, Huan Zhao, Xiong Cai, Han Ding · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  49. FocalFormer: Leveraging focal modulation for efficient action segmentation in egocentric videos
    Jialu Xi, Shiguang Liu · 2025 · Computers & Graphics
  50. Discovering Latent Classes for Semi-supervised Semantic Segmentation
    Olga Zatsarynna, Johann Sawatzky, Jüergen Gall · 2021 · Lecture notes in computer science
  51. Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection
    Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  52. Action Recognition From Single Timestamp Supervision in Untrimmed Videos
    D. Moltisanti, S. Fidler, D. Damen · 2019 · Computer Vision and Pattern Recognition
  53. Forecasting Future Action Sequences with Neural Memory Networks
    Gammulle, Harshala, Simon Denman, Sridha Sridharan, Clinton Fookes · 2019 · arXiv (Cornell University)
  54. Self-supervised Pretraining with Classification Labels for Temporal Activity Detection
    Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo · 2021 · arXiv (Cornell University)
  55. Bayesian Prototypical Pruning for Transformers in Human–Robot Collaboration
    Bohua Peng, Bin Chen · 2025 · Mathematics
  56. Multi-Level and Multi-Modal Action Anticipation
    Seul‐Gi Kim, Ghazal Kaviani, Mohit Prabhushankar, Ghassan AlRegib · 2025 · Proceedings - International Conference on Image Processing
  57. Enhancing Temporal Action Segmentation with Large Language Models
    Ren Sasage, Jia Qu, Shotaro Miwa · 2025 · IEEE Conference on Industrial Electronics and Applications (ICIEA)
  58. Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process
    I. Saito, Masatoshi Nagano, Tomoaki Nakamura, Daichi Mochihashi, Koki Mimura · 2025 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
  59. Strengthening temporal action segmentation through diffusion models
    Danfeng Zhuang, Min Jiang, Hichem Arioui, Hedi Tabia · 2025 · Engineering Applications of Artificial Intelligence
  60. Continuous Activity Recognition Algorithm for FMCW Radar Integrating Consistency Regularization and Self-Distillation Techniques
    Minhao Ding, Yipeng Ding, Zhixiang Zhang, Runjin Liu, Bowen Tang · 2025 · IEEE Transactions on Aerospace and Electronic Systems
  61. End to End Alignment Learning of Instructional Videos with Spatiotemporal Hybrid Encoding and Decoding Space Reduction
    Lin Wang, Xingfu Wang, Ammar Hawbani, Yan Xiong · 2021 · Applied Sciences
  62. LASFormer: Light Transformer for Action Segmentation with Receptive Field-Guided Distillation and Action Relation Encoding
    Zhichao Ma, Kan Li · 2023 · Mathematics
  63. Prototypical Transformer for Weakly Supervised Action Segmentation
    Tao Lin, Xiaobin Chang, Wei Sun, Wei‐Shi Zheng · 2023 · Lecture notes in computer science
  64. Coarse-to-Fine Loss Based On Viterbi Algorithm for Weakly Supervised Action Segmentation
    Longshuai Sheng, Ce Li, Yihan Tian · 2021 · 2021 International Conference on Signal Processing and Machine Learning (CONF-SPML)
  65. Skeleton-based human activity understanding
    Jun Liu · 2019
  66. Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing.
    Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes · 2021 · arXiv (Cornell University)
  67. Edge Enhanced Traffic Scene Segmentation Algorithm with Deep Neural Network
    Wei Liu, Huan Tian, Jun Hu, Shuai Cheng, Huai Yuan · 2017 · SAE technical papers on CD-ROM/SAE technical paper series
  68. Weak Supervised Detection of Abnormal Behavior
    Songhao Zhu, Xuewen Ju, Xian Sun, Dongsheng Wang · 2018 · Chinese Control Conference (CCC)
  69. Deep Learning for Action Understanding in Video
    Zheng Shou · 2019
  70. Spatio-Temporal Event Segmentation and Localization for Wildlife Extended Videos
    Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar · 2020 · arXiv (Cornell University)
  71. Weakly-supervised subspace clustering for sequential data
    Ryan Green · 2020
  72. Reconstructing and grounding narrated instructional videos in 3D
    Dimitri Zhukov, Ignacio Rocco, Ivan Laptev A, Josef Šivic, Johannes L. Schönberger, Bugra Tekin, Marc Pollefeys · 2021 · arXiv (Cornell University)
  73. A Cluster-Based Method for Action Segmentation Using Spatio-Temporal and Positional Encoded Embeddings
    Guilherme de A. P. Marques, Antonio José G. Busson, Álan L. V. Guedes, Sérgio Colcher · 2021 · Brazilian Symposium on Multimedia and the Web
  74. Pyramid Dilated Attention Network for Action Segmentation
    Zexing Du, Feng Mei, Xiaohan Lai, Qing Wang · 2021 · International Conference on Wireless Communications and Signal Processing (WCSP)
  75. Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
    Timing Yang · 2021 · Communications in computer and information science
  76. Two-Stream Retentive Long Short-Term Memory Network for Dense Action Anticipation
    Fengda Zhao, Jiuhan Zhao, Xianshan Li, Yinghui Zhang, Dingding Guo, Wenbai Chen · 2022 · Computational Intelligence and Neuroscience
  77. A CLUSTER-BASED METHOD FOR ACTION SEGMENTATION USING SPATIO-TEMPORAL AND POSITIONAL ENCODED EMBEDDINGS
    Guilherme de A. P. Marques · 2022
  78. Data Synthesizing for Specific Human Action Segmentation
    Xiaotian Lin, Leiyang Xu, Qiang Wang · 2023 · IEEE International Conference on Industrial Technology (ICIT)
  79. Tackling confusion among actions for action segmentation with adaptive margin and energy-driven refinement
    Zhichao Ma, Kan Li · 2024 · Machine Vision and Applications
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    Zengxin Kang, Zhongyi Chu · 2024 · Communications in computer and information science
  81. Improved Sliding Window Smoothing for Video Temporal Action Segmentation and Recognition
    Ce Li, Yihan Tian, Longshuai Sheng, Junzhi Chen, Tian Wang, Xianlong Wei · 2023 · China Automation Congress (CAC)
  82. Pose-aware video action segmentation
    Meijing Zhang, Chenyang Liao, Qi Li, Hua Zhang, Wenxi Liu · 2024 · Neural Computing and Applications
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    Zuxuan Wu, Yu–Gang Jiang · 2024 · Wireless networks
  84. Improving Temporal Action Segmentation and Detection with Hierarchical Task Grammar
    Qiu Yihui, Deepu Rajan · 2024 · Lecture notes in computer science
  85. Pose-Aware Weakly-Supervised Action Segmentation
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  86. DA-GCN: Deformable Adaptive - Graph Convolutional Network for Skeleton-Based Action Recognition
    Jinyin Huang, Mingchun Li, Jiaqi Wu, Huijie Fan, Qiang Wang · 2025 · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems
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  94. Hierarchical Clustered Optimal Transport with Boundary Fusion for Unsupervised Action Segmentation
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