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)
DOI 10.1109/cvpr.2015.7299059

Cited by (1,001)

Items 301–400 of 1,001

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  4. MGMAE: Motion Guided Masking for Video Masked Autoencoding
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  5. Non-linear Temporal Subspace Representations for Activity Recognition
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  8. Video-based Human Action Recognition using Deep Learning: A Review
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  10. Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
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  11. Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition
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  15. Trajectory-Pooled Deep Convolutional Networks for Violence Detection in Videos
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  16. Deep Manifold Structure Transfer for Action Recognition
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  17. R-STAN: Residual Spatial-Temporal Attention Network for Action Recognition
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  18. FEXNet: Foreground Extraction Network for Human Action Recognition
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  19. Video Action Understanding
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  20. A bag-of-words equivalent recurrent neural network for action recognition
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  21. Feedback weight convolutional neural network for gait recognition
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  22. Multi-View Gait Recognition Based on a Spatial-Temporal Deep Neural Network
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  23. Semantic Image Networks for Human Action Recognition
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  24. Generalized zero-shot learning for action recognition with web-scale video data
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  25. Spatial–temporal pooling for action recognition in videos
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  26. A Deep Learning Based Technique for Anomaly Detection in Surveillance Videos
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  27. Temporal Bilinear Networks for Video Action Recognition
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  28. Efficient Parallel Inflated 3D Convolution Architecture for Action Recognition
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  29. Low-light aware framework for human activity recognition via optimized dual stream parallel network
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  35. Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor
    Aaron Chadha, Alhabib Abbas, Yiannis Andreopoulos · 2017 · IEEE Transactions on Circuits and Systems for Video Technology
  36. Efficient large-scale action recognition in videos using extreme learning machines
    Gül Varol, Albert Ali Salah · 2015 · Expert Systems with Applications
  37. Unsupervised Learning using Sequential Verification for Action Recognition.
    Ishan Misra, C. Lawrence Zitnick, Martial Hebert · 2016 · arXiv (Cornell University)
  38. A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities
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  39. Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories
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  40. Temporal Tessellation: A Unified Approach for Video Analysis
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  41. Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network
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  55. SCNN: Sequential convolutional neural network for human action recognition in videos
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    Hanbo Wu, Xin Ma, Yibin Li · 2019 · IEEE Transactions on Multimedia
  59. Second-order Temporal Pooling for Action Recognition
    Anoop Cherian, Stephen Jay Gould · 2018 · International Journal of Computer Vision
  60. Action recognition with multi-scale trajectory-pooled 3D convolutional descriptors
    Xiusheng Lu, Hongxun Yao, Sicheng Zhao, Xiaoshuai Sun, Shengping Zhang · 2017 · Multimedia Tools and Applications
  61. Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition
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  62. Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition
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  63. Deep network for human action recognition using Weber motion
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  64. Hypergraph-Based Multi-View Action Recognition Using Event Cameras
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  65. An Introduction to Deep Convolutional Neural Nets for Computer Vision
    Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S S Kruthiventi, R. Venkatesh Babu · 2017 · Elsevier eBooks
  66. Jointly Recognizing Object Fluents and Tasks in Egocentric Videos
    Yang Liu, Ping Wei, Song Chun Zhu · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  67. Dense Dilated Network for Few Shot Action Recognition
    Baohan Xu, Hao Ye, Yingbin Zheng, Heng Wang, Tianyu Luwang, Yu–Gang Jiang · 2018 · International Conference on Multimedia Retrieval
  68. A Survey of Video Based Action Recognition in Sports
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  70. Spatiotemporal Fusion in 3D CNNs: A Probabilistic View
    Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data
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  72. Hybrid handcrafted and learned feature framework for human action recognition
    Chaolong Zhang, Yuanping Xu, Zhijie Xu, Jian Huang, Jun Lu · 2022 · Applied Intelligence
  73. Identifying the key frames: An attention-aware sampling method for action recognition
    Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan · 2022 · Pattern Recognition
  74. Human Action Recognition from Multiple Views Based on View-Invariant Feature Descriptor Using Support Vector Machines
    Allah Bux Sargano, Plamen Parvanov Angelov, Zulfiqar Habib · 2016 · Applied Sciences
  75. Global-Local Temporal Saliency Action Prediction
    Shaofan Lai, Wei‐Shi Zheng, Jian–Fang Hu, Jianguo Zhang · 2017 · IEEE Transactions on Image Processing
  76. Deep Spatial Pyramid Ensemble for Cultural Event Recognition
    Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu · 2015 · IEEE International Conference on Computer Vision Workshops
  77. Fully convolutional networks for action recognition
    Sheng Yu, Yun Cheng, Li Xie, Shaozi Li · 2017 · IET Computer Vision
  78. Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers
    Ardhendu Behera, Alexander Keidel, Bappaditya Debnath · 2019 · Lecture notes in computer science
  79. Temporal 3D ConvNets Using Temporal Transition Layer
    Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  80. Early Action Prediction With Generative Adversarial Networks
    Dong Wang, Yuan Yuan, Qi Wang · 2019 · IEEE Access
  81. Instructor Activity Recognition through Deep Spatiotemporal Features and Feedforward Extreme Learning Machines
    Nudrat Nida, Muhammad Haroon Yousaf, Aun Irtaza, Sergio A. Velastín · 2019 · Mathematical Problems in Engineering
  82. Two-Stream Convolution Neural Network with Video-stream for Action Recognition
    Wei Dai, Yimin Chen, Chen Huang, Mingke Gao, Xinyu Zhang · 2019 · International Joint Conference on Neural Networks (IJCNN)
  83. 3-D Human Behavior Understanding Using Generalized TS-LSTM Networks
    Inwoong Lee, Doyoung Kim, Sanghoon Lee · 2020 · IEEE Transactions on Multimedia
  84. Hidden Two-Stream Collaborative Learning Network for Action Recognition
    Shuren Zhou, Le Chen, Vijayan Sugumaran · 2020 · Computers, materials & continua/Computers, materials & continua (Print)
  85. Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure
    Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  86. Multiscale Deep Alternative Neural Network for Large-Scale Video Classification
    Jinzhuo Wang, Wenmin Wang, Wen Gao · 2018 · IEEE Transactions on Multimedia
  87. Beyond caption to narrative: Video captioning with multiple sentences
    Andrew Shin, Katsunori Ohnishi, Tatsuya Harada · 2016 · Proceedings - International Conference on Image Processing
  88. Two-Stage Human Activity Recognition Using 2D-ConvNet.
    Kamal Kant Verma, Brij Mohan Singh, Hardwari Lal Mandoria, Prachi Chauhan · 2020 · International Journal of Interactive Multimedia and Artificial Intelligence
  89. AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement
    Shannan GUAN, Haiyan Lu, Linchao Zhu, Gengfa Fang · 2022 · Neurocomputing
  90. Fall Detection in Videos With Trajectory-Weighted Deep-Convolutional Rank-Pooling Descriptor
    Zhimeng Zhang, Xin Ma, Hanbo Wu, Yibin Li · 2018 · IEEE Access
  91. Unsupervised alignment of actions in video with text descriptions
    Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, Henry Kautz · 2016 · International Joint Conference on Artificial Intelligence
  92. Depth‐based end‐to‐end deep network for human action recognition
    Sachin Chaudhary, Subrahmanyam Murala · 2018 · IET Computer Vision
  93. Feature Fusion of Deep Spatial Features and Handcrafted Spatiotemporal Features for Human Action Recognition
    Md Azher Uddin, Young-Koo Lee · 2019 · Sensors
  94. A Spatiotemporal Heterogeneous Two-Stream Network for Action Recognition
    Enqing Chen, Xue Bai, Lei Gao, Haron Chweya Tinega, Yingqiang Ding · 2019 · IEEE Access
  95. Purely Attention Based Local Feature Integration for Video Classification
    Xiang Long, Gerard de Melo, Dongliang He, Fu Li, Zhizhen Chi, Shilei Wen, Chuang Gan · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  96. Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks
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  97. Learning discriminative representations for multi-label image recognition
    Mohammed Hassanin, Ibrahim Radwan, Salman Hameed Khan, Murat Tahtalı · 2022 · Journal of Visual Communication and Image Representation
  98. Recurrent attention network using spatial-temporal relations for action recognition
    Mingxing Zhang, Yang Yang, Yanli Ji, Ning Xie, Fumin Shen · 2017 · Signal Processing
  99. Perception of Demonstration for Automatic Programing of Robotic Assembly: Framework, Algorithm, and Validation
    Yue Wang, Rong Xiong, Hongsheng Yu, Jiafan Zhang, Yong Liu · 2018 · IEEE/ASME Transactions on Mechatronics
  100. Human Action Prediction with 3D-CNN
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