Action recognition with trajectory-pooled deep-convolutional descriptors

Wang, Limin, Qiao, Yu, Tang, Xiaoou·2015·2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,001)

Items 401–500 of 1,001

  1. Intelligent Video Analytics for Human Action Recognition: The State of Knowledge
    Marek Kulbacki, Jakub Segen, Zenon Chaczko, Jerzy W. Rozenblit, Michał Kulbacki, Ryszard Klempous, Konrad W. Wojciechowski · 2023 · Sensors
  2. Order-aware convolutional pooling for video based action recognition
    Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen · 2019 · Pattern Recognition
  3. Correlation Net: Spatiotemporal multimodal deep learning for action recognition
    Novanto Yudistira, Takio Kurita · 2019 · Signal Processing Image Communication
  4. Robust basketball sports recognition by leveraging motion block estimation
    Zhiguo Pan, Chao Li · 2020 · Signal Processing Image Communication
  5. Few-Shot Learning of Video Action Recognition Only Based on Video Contents
    Bo Yang, Yangdi Lu, Wenbo He · 2020 · IEEE Winter Conference on Applications of Computer Vision
  6. Semantic segmentation-based system for fall detection and post-fall posture classification
    Sara Mobsite, Nabih Alaoui, Mohammed Boulmalf, Mounir Ghogho · 2022 · Engineering Applications of Artificial Intelligence
  7. HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks
    Min‐Seok Park, Li, Hanxiang, Junmo Kim · 2016 · arXiv (Cornell University)
  8. Multimodal action recognition: a comprehensive survey on temporal modeling
    Elham Shabaninia, Hossein Nezamabadi–pour, Fatemeh Shafizadegan · 2023 · Multimedia Tools and Applications
  9. Modeling transformer architecture with attention layer for human activity recognition
    Gunjan Pareek, Swati Nigam, Rajiv Kumar Singh · 2024 · Neural Computing and Applications
  10. A novel YOLO LSTM approach for enhanced human action recognition in video sequences
    Mahmoud Elnady, Hossam E. Abd El Munim · 2025 · Scientific Reports
  11. Modeling Sub-Event Dynamics in First-Person Action Recognition
    Hasan Firdaus Mohd Zaki, Faisal Shafait B, Ajmal Saeed Mian · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  12. Weakly Semantic Guided Action Recognition
    Tingzhao Yu, Lingfeng Wang, Cheng Da, Huxiang Gu, Shiming Xiang, Chunhong Pan · 2019 · IEEE Transactions on Multimedia
  13. Pose-Guided Inflated 3D ConvNet for action recognition in videos
    Qianyu Wu, Aichun Zhu, Ran Cui, Tian Wang, Fangqiang Hu, Yaping Bao, Hichem Snoussi · 2020 · Signal Processing Image Communication
  14. Spatio-Temporal Features based Human Action Recognition using Convolutional Long Short-Term Deep Neural Network
    A F M Saifuddin Saif, Ebisa Wollega, Sylvester A. Kalevela · 2023 · International Journal of Advanced Computer Science and Applications
  15. Learning multi-temporal-scale deep information for action recognition
    Guangle Yao, Tao Leí, Jiandan Zhong, Ping Jiang · 2018 · Applied Intelligence
  16. Spatiotemporal neural networks for action recognition based on joint loss
    Chao Jing, Ping Wei, Hongbin Sun, Nanning Zheng · 2019 · Neural Computing and Applications
  17. Compositional interaction descriptor for human interaction recognition
    Nam-Gyu Cho, Se-Ho Park, Jeong-Seon Park, Unsang Park, Seong-Whan Lee · 2017 · Neurocomputing
  18. Action recognition and localization with spatial and temporal contexts
    Wanru Xu, Zhenjiang Miao, Jian Qiao Yu, Qiang Ji · 2019 · Neurocomputing
  19. Video event classification based on two-stage neural network
    Lei Zhang A, Xuezhi Xiang · 2020 · Multimedia Tools and Applications
  20. Using complex networks and multiple artificial intelligence algorithms for table tennis match action recognition and technical-tactical analysis
    Honglin Song, Yutao Li, Chenyi Fu, Feng Xue, Qi-Yue Zhao, Xingyu Zheng, Kunkun Jiang, Tianbiao Liu · 2023 · Chaos Solitons & Fractals
  21. Deep learning based human action recognition: A survey
    Zhimeng Zhang, Xin Ma, Rui Song, Xuewen Rong, Xincheng Tian, Guohui Tian, Yibin Li · 2017 · Chinese Automation Congress
  22. Temporal and Fine-Grained Pedestrian Action Recognition on Driving Recorder Database
    Hirokatsu Kataoka, Yutaka Satoh, Yoshimitsu Aoki, Shoko Oikawa, Yasuhiro Matsui · 2018 · Sensors
  23. Deep learning fusion conceptual frameworks for complex human activity recognition using mobile and wearable sensors
    Henry Friday Nweke, Mohammed Ali Al-Garadi, Ghulam Mujtaba, Uzoma Rita Alo, Ahmad Waqas · 2018 · International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
  24. Exploring hybrid spatio-temporal convolutional networks for human action recognition
    Hao Wang, Yanhua Yang, Erkun Yang, Cheng Dan Deng · 2017 · Multimedia Tools and Applications
  25. Semisupervised Discriminant Multimanifold Analysis for Action Recognition
    Zengmin Xu, Ruimin Hu, Jun Chen, Chen Chen, Junjun Jiang, Jiao‐fen Li, Hongyang Li · 2019 · IEEE Transactions on Neural Networks and Learning Systems
  26. Scene image and human skeleton-based dual-stream human action recognition
    Qingyang Xu, Wanqiang Zheng, Yong Hua Song, Chengjin Zhang, Xianfeng Yuan, Yibin Li · 2021 · Pattern Recognition Letters
  27. Single Shot Detector CNN and Deep Dilated Masks for Vision-Based Hand Gesture Recognition From Video Sequences
    Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, Md Roman Bhuiyan, Magzhan Kairanbay, Z. Yusoff, Hezerul Bin Abdul Karim, Sarina Binti Mansor, Md Tanjil Sarker, Gobbi Ramasamy · 2024 · IEEE Access
  28. A novel recurrent hybrid network for feature fusion in action recognition
    Sheng Yu, Yun Cheng, Li Xie, Zhiming Luo, Min Huang, Shaozi Li · 2017 · Journal of Visual Communication and Image Representation
  29. On Space-Time Filtering Framework for Matching Human Actions Across Different Viewpoints
    Anwaar Ulhaq, Xiaoxia Yin, Jing He, Yanchun Zhang · 2017 · IEEE Transactions on Image Processing
  30. Frontiers of Multimedia Research
    Shih-Fu Chang · 2017
  31. Local Temporal Bilinear Pooling for Fine-Grained Action Parsing
    Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann B · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  32. A novel multi-stream method for violent interaction detection using deep learning
    LI Hong-chang, Jing Wang, Jianjun Han, Jinmin Zhang, Yushan Yang, Yue Zhao · 2020 · Measurement and Control
  33. When Video Classification Meets Incremental Classes
    Hanbin Zhao, Xin Qin, Shihao Su, Yongjian Fu, Zibo Lin, Xi Li · 2021 · ACM International Conference on Multimedia (ACM MM)
  34. Robust Automated Human Activity Recognition and Its Application to Sleep Research
    Aarti Sathyanarayana, Ferda Ofli, Luis Fernández-Luque, Jaideep Srivastava, Ahmed K. Elmagarmid, Teresa Arora, Shahrad Taheri · 2016 · IEEE ... International Conference on Data Mining workshops
  35. Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions
    Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  36. Loss Switching Fusion with Similarity Search for Video Classification
    Lei Wang, Du Q. Huynh, Moussa Reda Mansour · 2019 · Proceedings - International Conference on Image Processing
  37. Spiking neural network based on joint entropy of optical flow features for human action recognition
    S. Jeba Berlin, Mala John · 2020 · The Visual Computer
  38. Representation for action recognition with motion vector termed as: SDQIO
    M. Shujah Islam, Khush Bakhat, Mansoor Iqbal, Rashid Khan, Zhongfu Ye, M. Mattah Islam · 2022 · Expert Systems with Applications
  39. Detecting and Removing Visual Distractors for Video Aesthetic Enhancement
    Fang‐Lue Zhang, Xian Wu, Rui-Long Li, Jue Wang, Zhaoheng Zheng, Shi‐Min Hu · 2018 · IEEE Transactions on Multimedia
  40. Video spatiotemporal mapping for human action recognition by convolutional neural network
    Amin Zare, Hamid Abrishami Moghaddam, Arash Sharifi · 2019 · Pattern Analysis and Applications
  41. Spatio-temporal deep learning models for tip force estimation during needle insertion
    Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Hamann, Klaus‐Peter Jünemann, Christoph Otte, Alexander Schlaefer · 2019 · International Journal of Computer Assisted Radiology and Surgery
  42. Learning Discriminative Features via Label Consistent Neural Network
    Zhuolin Jiang, Yaming Wang, Larry Steven Davis, Walter D. Andrews, Viktor Rozgić · 2017 · IEEE Winter Conference on Applications of Computer Vision
  43. CTU depth decision algorithms for HEVC: A survey
    Ekrem Çetinkaya, Hadi Amirpour, M. Ghanbari, Christian Timmerer · 2021 · Signal Processing Image Communication
  44. GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
    Ankit Gandhi, Arjun Sharma, Arijit Biswas, Om Deshmukh · 2016 · Lecture notes in computer science
  45. First-person action recognition through Visual Rhythm texture description
    Thierry Pinheiro Moreira, David Menotti, Hélio Pedrini · 2017 · IEEE International Conference on Acoustics Speech and Signal Processing
  46. Detecting Violent Robberies in CCTV Videos Using Deep Learning
    Giorgio Morales, Itamar Salazar-Reque, Joel Telles, Daniel Díaz · 2019 · IFIP advances in information and communication technology
  47. Distinct Two-Stream Convolutional Networks for Human Action Recognition in Videos Using Segment-Based Temporal Modeling
    Ashok Sarabu, Ajit Kumar Santra · 2020 · Data
  48. Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique
    Najeeb Ur Rehman Malik, Usman Ullah Sheikh, S. A. R. Abu–Bakar, Asma Channa · 2023 · Sensors
  49. An Overview of the Vision-Based Human Action Recognition Field
    Fernando Camarena, Miguel González-Mendoza, Leonardo Chang, Ricardo J Cuevas-Ascencio · 2023 · Mathematical and Computational Applications
  50. Leveraging spatio-temporal features using graph neural networks for human activity recognition
    M. S. Subodh Raj, Sudhish N. George, Kiran Bylappa Raja · 2024 · Pattern Recognition
  51. Multiview Hessian Semisupervised Sparse Feature Selection for Multimedia Analysis
    Caijuan Shi, Gaoyun An, Ruizhen Zhao, Qiuiqi Ruan, Qi Tian · 2016 · IEEE Transactions on Circuits and Systems for Video Technology
  52. Spatio-temporal elastic cuboid trajectories for efficient fight recognition using Hough forests
    Ismael Serrano, Óscar Déniz, Gloria Bueno, Guillermo Garcia-Hernando, Tae‐Kyun Kim · 2017 · Machine Vision and Applications
  53. Convolutional Neural Networks
    Charų C. Aggarwal · 2018 · Springer eBooks
  54. Multi- View Fusion for Action Recognition in Child-Robot Interaction
    Niki Efthymiou, Petros Koutras, Panagiotis Paraskevas Filntisis, Gerasimos Potamianos, Petros A. Maragos · 2018 · Proceedings - International Conference on Image Processing
  55. Deep Learning Approaches for Human Activity Recognition in Video Surveillance - A Survey
    Rajat Khurana, Alok Kumar Singh Kushwaha · 2018 · International Conference on Secure Cyber Computing and Communications (ICSCCC)
  56. Crowd Video Event Classification using Convolutional Neural Network
    S. Jothi Shri, Subbaiyan Jothilakshmi · 2019 · Computer Communications
  57. Human action recognition based on action relevance weighted encoding
    Yang Yi, Ao Li, Xiaofeng Zhou · 2019 · Signal Processing Image Communication
  58. Fine-grained action recognition using multi-view attentions
    Yisheng Zhu, Guangcan Liu · 2019 · The Visual Computer
  59. Exploring Relations in Untrimmed Videos for Self-Supervised Learning
    Dezhao Luo, Yu Zhou, Bo Fang, Yucan Zhou, Dayan Wu, Weiping Wang · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
  60. Spatio-Temporal Scale Selection in Video Data
    Tony Lindeberg · 2017 · Journal of Mathematical Imaging and Vision
  61. Generalized Graph Convolutional Networks for Skeleton-based Action Recognition.
    Xiang Gao, Wei Hu, Jiaxiang Tang, Pan Pan, Jiaying Liu, Zongming Guo · 2018 · arXiv (Cornell University)
  62. Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions
    Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu · 2017 · IEEE Transactions on Image Processing
  63. Holistic Large Scale Video Understanding
    Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jüergen Gall, Rainer Stiefelhagen, Luc Van Gool · 2019 · Lirias
  64. A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time
    Sidi Ahmed Mahmoudi, Otmane Amel, Sédrick Stassin, Margot Liagre, Mohamed Benkedadra, Matei Mancaş · 2023 · Electronics
  65. A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection
    Majid Joudaki, Mehdi Imani, Hamid Reza Arabnia · 2025 · Technologies
  66. Embedding Sequential Information into Spatiotemporal Features for Action Recognition
    Yuancheng Ye, Yingli Tian · 2016 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  67. Group Sparse-Based Mid-Level Representation for Action Recognition
    Shiwei Zhang, Changxin Gao, Feifei Chen, Sihui Luo, Nong Sang · 2016 · IEEE Transactions on Systems Man and Cybernetics Systems
  68. SUSiNet: See, Understand and Summarize It
    Petros Koutras, Petros A. Maragos · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  69. Hierarchical Dynamic Parsing and Encoding for Action Recognition
    Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Nian Wu · 2016 · Lecture notes in computer science
  70. MSR-CNN: Applying motion salient region based descriptors for action recognition
    Zhigang Tu, Jun Cao, Yikang Li, Baoxin Li · 2016 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  71. Exploiting Mid-Level Semantics for Large-Scale Complex Video Classification
    Ji Zhang, Kuizhi Mei, Yu Zheng, Jianping Fan B · 2019 · IEEE Transactions on Multimedia
  72. Making Sense of Neuromorphic Event Data for Human Action Recognition
    Salah Al-Obaidi, Hiba Al-Khafaji, Charith Abhayaratne · 2021 · IEEE Access
  73. Deep convolutional neural model for human activities recognition in a sequence of video by combining multiple CNN streams
    Neeraj Varshney, Brijesh Bakariya · 2021 · Multimedia Tools and Applications
  74. Attention-Driven Appearance-Motion Fusion Network for Action Recognition
    Shaocan Liu, Xin Ma · 2022 · IEEE Transactions on Multimedia
  75. Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels
    Mihir Jain, Jan C. van Gemert, Hervé Jeǵou, Patrick Bouthémy, Cees G. M. Snoek · 2017 · International Journal of Computer Vision
  76. Action recognition based on a mixture of RGB and depth based skeleton
    Srijan Das, Michal Koperski, François Brémond, Gianpiero Francesca · 2017 · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
  77. A Long Short-Term Memory Convolutional Neural Network for First-Person Vision Activity Recognition
    Girmaw Abebe, Andrea Cavallaro · 2017 · IEEE International Conference on Computer Vision Workshops
  78. Multi-stream Convolutional Neural Networks for Action Recognition in Video Sequences Based on Adaptive Visual Rhythms
    Darwin Ttito Concha, Helena de Almeida Maia, Hélio Pedrini, Hemerson Tacon, André de Souza Brito, Hugo Chaves, Marcelo Bernardes Vieira · 2018 · International Conference on Machine Learning and Applications
  79. Attention‐based spatial–temporal hierarchical ConvLSTM network for action recognition in videos
    Fei Xue, Hongbing Ji, Wenbo Zhang, Yi Cao · 2019 · IET Computer Vision
  80. An Accurate Device-Free Action Recognition System Using Two-Stream Network
    Biyun Sheng, Yuanrun Fang, Fu Xiao, Lijuan Sun · 2020 · IEEE Transactions on Vehicular Technology
  81. Binary dense sift flow based two stream CNN for human action recognition
    Sang Kyoo Park, Jun Ho Chung, Tae‐Koo Kang, Myo Taeg Lim · 2021 · Multimedia Tools and Applications
  82. A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications
    Yumin Zhang, Yanyong Wang · 2025 · EURASIP Journal on Image and Video Processing
  83. Improving Human Action Recognition by Non-action Classification
    Yang Wang, Minh Hoai · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  84. Spatial-temporal saliency action mask attention network for action recognition
    Min Jiang, Na Pan, Jun Kong · 2020 · Journal of Visual Communication and Image Representation
  85. CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
    Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng · 2021 · IET Intelligent Transport Systems
  86. A Novel Deep Learning Based Automated Academic Activities Recognition in Cyber-Physical Systems
    Muhammad Wasim, Imran Ahmed, Jamil Ahmad, Mohammad Mehedi Hassan · 2021 · IEEE Access
  87. DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition
    Guangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, Alex Kai Qin · 2022 · Neural Networks
  88. Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration
    Zhihao Liu, Quan Liu, Wenjun Xu, Lihui Wang, Zhenrui Ji · 2023 · Advanced Engineering Informatics
  89. Deep Learning Innovations in Video Classification: A Survey on Techniques and Dataset Evaluations
    Makara Mao, Ahyoung Lee, Min Hong · 2024 · Electronics
  90. Discriminatively Learned Hierarchical Rank Pooling Networks
    Basura Fernando, Stephen Jay Gould · 2017 · International Journal of Computer Vision
  91. Discriminative Part Selection For Human Action Recognition
    Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, Nong Sang · 2017 · IEEE Transactions on Multimedia
  92. Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition
    Haodong Yang, Jun Zhang, Shuohao Li, Tingjin Luo · 2018 · Journal of Intelligent & Fuzzy Systems
  93. Multi-Modal Three-Stream Network for Action Recognition
    Muhammad Usman Khalid, Jie Yu · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  94. TAN: Temporal Aggregation Network for Dense Multi-Label Action Recognition
    Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry Steven Davis · 2019 · IEEE Winter Conference on Applications of Computer Vision
  95. Action Recognition Using Form and Motion Modalities
    Quanling Meng, Heyan Zhu, Weigang Zhang, Xuefeng Piao, Aijie Zhang · 2020 · ACM Transactions on Multimedia Computing Communications and Applications
  96. On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification
    Alejandro Barredo Arrieta, Sergio Gil-López, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser · 2021 · Neural Computing and Applications
  97. From Trailers to Storylines: An Efficient Way to Learn from Movies
    Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin · 2018 · arXiv (Cornell University)
  98. Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation
    Swati Jindal, Mohit Yadav, Roberto Manduchi · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  99. SMART-vision: survey of modern action recognition techniques in vision
    Ali K. AlShami, Ryan Rabinowitz, Khang Nhứt Lâm, Yousra Shleibik, Melkamu Abay Mersha, Terrance E. Boult, Jugal Kumar Kalita · 2024 · Multimedia Tools and Applications
  100. Sequential Segment Networks for Action Recognition
    Quan-Qi Chen, Yu‐Jin Zhang · 2017 · IEEE Signal Processing Letters