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 701–800 of 1,001

  1. Action recognition using dynamic hierarchical trees
    Tingwei Wang, Peng Duan, Bingxian Ma, Peng Wu, Weizhi Lu · 2019 · Journal of Visual Communication and Image Representation
  2. Knowledge driven temporal activity localization
    Changlin Li, Zhihui Li, Zongyuan Ge, Mingjie Li · 2019 · Journal of Visual Communication and Image Representation
  3. Discriminative Action States Discovery for Online Action Recognition
    Bo Hu, Junsong Yuan, Yuwei Wu · 2016 · IEEE Signal Processing Letters
  4. Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation
    Le Wang, Xuhuan Duan, Qilin Zhang, Zhenxing Niu, Gang Hua, N. Zheng · 2018 · Italian National Conference on Sensors
  5. Learning Match Kernels on Grassmann Manifolds for Action Recognition
    Lei Zhang A, Xiantong Zhen, Ling Shao, Jingkuan Song · 2018 · IEEE Transactions on Image Processing
  6. Sports Video Captioning by Attentive Motion Representation based Hierarchical Recurrent Neural Networks
    Mengshi Qi, Yunhong Wang, Annan Li, Jiebo Luo · 2018 · ACM International Workshop on Multimedia Content Analysis in Sports (MMSports)
  7. Cross-Stream Selective Networks for Action Recognition
    Bowen Pan, Jiankai Sun, Wuwei Lin, Limin Wang, Weiyao Lin · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  8. Discriminative Video Representation Learning Using Support Vector Classifiers
    Jue Wang, Anoop Cherian · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  9. Deep Learning of Fuzzy Weighted Multi-Resolution Depth Motion Maps with Spatial Feature Fusion for Action Recognition
    Mahmoud Al-Faris, John P. Chiverton, Yanyan Yang, David Lorater Ndzi · 2019 · Journal of Imaging
  10. Dual-Branch Network With a Subtle Motion Detector for Microaction Recognition in Videos
    Yang Mi, Xingyuan Zhang, Zhongguo Li, Song Wang · 2020 · IEEE Transactions on Image Processing
  11. Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images
    Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas · 2018 · Indian Conference on Computer Vision, Graphics and Image Processing
  12. Spatiotemporal Interaction Residual Networks with Pseudo3D for Video Action Recognition
    Jianyu Chen, Jun Kong, Hui Sun, Hui Fang Xu, Xiaoli Liu, Yinghua Lu, Caixia Zheng · 2020 · Sensors
  13. Two-Stream Mid-Level Fusion Network for Human Activity Detection
    Mainak Chakraborty, Alik Pramanick, Sunita Dhavale · 2020 · Advances in intelligent systems and computing
  14. The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition
    Zhenzhong Lan, Shoou-I Yu, Dezhong Yao, Ming Lin, Bhiksha Raj, Alexander G. Hauptmann · 2016 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  15. Deep Learning for Video Classification: A Review
    Atiq Ur Rehman, Samir Brahim Belhouari · 2021
  16. Spatio-Temporal Scale Selection in Video Data
    Tony Lindeberg · 2017 · Lecture notes in computer science
  17. A Review on Video Analytics Its Challenges and Applications
    Shaharyar Alam Ansari, Aasim Zafar · 2019 · Advances in intelligent systems and computing
  18. Recent Advances in Video Action Recognition with 3D Convolutions
    Kensho Hara · 2020 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
  19. Pairwise-Covariance Multi-view Discriminant Analysis for Robust Cross-View Human Action Recognition
    Hoang-Nhat Tran, Hong-Quan Nguyen, Huong-Giang Doan, Thanh-Hai Tran, Thi‐Lan Le, Hai Vu · 2021 · IEEE Access
  20. Multimodal Progressive Modulation Network for Micro-Video Multi-Label Classification
    Peiguang Jing, Xuan Zhao, Fugui Fan, Fan Yang, Yun Li, Yuting Su · 2024 · IEEE Transactions on Multimedia
  21. Trajectory-based fish event classification through pre-training with diffusion models
    Noemi Canovi, Benjamin Alexander Ellis, Tonje Knutsen Sørdalen, Vaneeda Allken, Kim Tallaksen Halvorsen, Ketil Malde, Cigdem Beyan · 2024 · Ecological Informatics
  22. A Review of Human Action Recognition Based On Deep Learning
    Zihao Jiang, Yunxiang Liu · 2024 · International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
  23. Fast Binary-Based Video Descriptors for Action Recognition
    Roberto Leyva, Víctor Sánchez, Tsun-Li Chang · 2016 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  24. Local feature representation based on linear filtering with feature pooling and divisive normalization for remote sensing image classification
    Lihong Wan, Na Liu‎, Yiyou Guo, Hong Huo, Tao Fang · 2017 · Journal of Applied Remote Sensing
  25. Learning a hierarchical spatio-temporal model for human activity recognition
    Wanru Xu, Zhenjiang Miao, Xiao-Ping Steven Zhang, Yi Tian · 2017 · IEEE International Conference on Acoustics Speech and Signal Processing
  26. Flip-Invariant Motion Representation
    Takumi Kobayashi · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  27. Temporal Attentive Network for Action Recognition
    Yemin Shi, Yonghong Tian, Tiejun Huang, Yaowei Wang · 2018 · IEEE International Conference on Multimedia and Expo (ICME)
  28. Deep Spatiotemporal Relation Learning With 3D Multi-Level Dense Fusion for Video Action Recognition
    Junxuan Zhang, Haifeng Hu · 2019 · IEEE Access
  29. Spatiotemporal information deep fusion network with frame attention mechanism for video action recognition
    Hongshi Ou, Jifeng Sun · 2019 · Journal of Electronic Imaging
  30. Human Motion Segmentation via Velocity-Sensitive Dual-Side Auto-Encoder
    Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Hang Di, Yun Fu · 2022 · IEEE Transactions on Image Processing
  31. Convolutional Neural Networks
    Charų C. Aggarwal · 2023 · Springer eBooks
  32. An adaptively multi-correlations aggregation network for skeleton-based motion recognition
    Xinpeng Yin, Jianqi Zhong, Deliang Lian, Wenming Cao · 2023 · Scientific Reports
  33. Video-based convolutional neural networks for activity recognition from robot-centric videos
    Michael S. Ryoo, Larry H. Matthies · 2016 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  34. Making a Case for Learning Motion Representations with Phase
    Silvia L. Pintea, Jan C. van Gemert · 2016 · Lecture notes in computer science
  35. Complex event detection via attention-based video representation and classification
    Zhicheng Zhao, Rui Xiang, Fei Su · 2017 · Multimedia Tools and Applications
  36. Recognizing Actions in Wearable-Camera Videos by Training Classifiers on Fixed-Camera Videos
    Yang Mi, Kang Zheng, Song Wang · 2018 · International Conference on Multimedia Retrieval
  37. Spatio-Temporal Deep Q-Networks for Human Activity Localization
    Wanru Xu, Jian Jun Yu, Zhenjiang Miao, Lili Wan, Qiang Ji · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
  38. Human Action Recognition Using Convolutional Neural Networks with Symmetric Time Extension of Visual Rhythms
    Hemerson Tacon, André de Souza Brito, Hugo Chaves, Marcelo Bernardes Vieira, Saulo Moraes Villela, Helena de Almeida Maia, Darwin Ttito Concha, Hélio Pedrini · 2019 · Lecture notes in computer science
  39. Liver Detection Algorithm Based on an Improved Deep Network Combined With Edge Perception
    Kaijian Xia, Hongsheng Yin · 2019 · IEEE Access
  40. Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks
    Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu · 2019 · IEEE ... International Conference on Data Mining workshops
  41. RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos
    Tianshu Yu, Yikang Li, Baoxin Li · 2020 · Lecture notes in computer science
  42. Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data
    Jong Taek Lee, Eunhee Park, Tae‐Du Jung · 2021 · Journal of Personalized Medicine
  43. Survey on Deep Learning for Human Action Recognition
    Zirui Qiu, Jun Sun, Mingyue Guo, Mantao Wang, Dejun Zhang · 2019 · Communications in computer and information science
  44. Accurate recognition of human abnormal behaviours using adaptive 3D residual attention network with gated recurrent units (GRU) in the video sequences
    T. Suresh Balakrishnan, D. Jayalakshmi, P. Geetha, T. Saju Raj, R. Hemavathi · 2024 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  45. Optimizing Human Activity Recognition Using Stacked CNN with Ensemble Learning
    Divya Yadav, Deepika Rani, Om Parakash Verma · 2025 · Procedia Computer Science
  46. LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models
    Anik Kumar Debnath, Yong‐Woon Kim, Yung-Cheol Byun · 2025 · IEEE Access
  47. Matching video net: Memory-based embedding for video action recognition
    Daesik Kim, Myunggi Lee, Nojun Kwak · 2017 · International Joint Conference on Neural Networks (IJCNN)
  48. Deep Discriminative Model for Video Classification
    Mohammad Tavakolian, Abdenour Hadid · 2018 · Lecture notes in computer science
  49. Retracted: Transfer Learning with Deep Representations is Used to Recognition Yoga Postures
    J. Palanimeera, K. Ponmozhi · 2022 · International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) · Retracted
  50. DeST: A Decoupled Spatio-Temporal Framework for Action Segmentation
    Yunheng Li, Zhong-Yu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng · 2026 · International Journal of Computer Vision
  51. Temporal aggregation for first-person action recognition using Hilbert-Huang transform
    Didik Purwanto, Yie‐Tarng Chen, Wen‐Hsien Fang · 2017 · IEEE International Conference on Multimedia and Expo (ICME)
  52. Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding
    Jinyoung Moon, Jun-Ho Jin, Yongjin Kwon, Kyuchang Kang, Jongyoul Park, Kyoung Park · 2017 · ETRI Journal
  53. Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration?
    Ling Guan, Lei Gao, Noureldin Elmadany, Chengwu Liang · 2018 · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR)
  54. Key Joints Selection and Spatiotemporal Mining for Skeleton-Based Action Recognition
    Zhikai Wang, Chongyang Zhang, Wu Luo, Weiyao Lin · 2018 · Proceedings - International Conference on Image Processing
  55. Computer vision based working environment monitoring to analyze Generalized Anxiety Disorder (GAD)
    Ankush Manocha, Ramandeep Singh · 2019 · Multimedia Tools and Applications
  56. MHAD: Multi-Human Action Dataset
    Omar Elharrouss, Noor Almaadeed, Somaya Ali Al-Maadeed · 2019 · Advances in intelligent systems and computing
  57. Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition
    Helena de Almeida Maia, Marcos Roberto e Souza, Anderson Santos, Hélio Pedrini, Hemerson Tacon, André de Souza Brito, Hugo Chaves, Marcelo Bernardes Vieira, Saulo Moraes Villela · 2019 · International Conference on Machine Learning and Applications
  58. Automatic Evaluation Method for Functional Movement Screening Based on a Dual-Stream Network and Feature Fusion
    Xiuchun Lin, Renguang Chen, Feng Chen, Zhide Chen, Xu Yang, Hui Cui · 2024 · Mathematics
  59. Multiple instance discriminative dictionary learning for action recognition
    Hongyang Li, Jun Chen, Zengmin Xu, Huafeng Chen, Ruimin Hu · 2016 · IEEE International Conference on Acoustics Speech and Signal Processing
  60. Saliency-context two-stream convnets for action recognition
    Quan-Qi Chen, Feng Liu, Xue Li, Baodi Liu, Yu‐Jin Zhang · 2016 · Proceedings - International Conference on Image Processing
  61. A Novel 3D Gradient LBP Descriptor for Action Recognition
    Zhaoyang Guo, Xin’an Wang, Bo Wang, Zheng yu Xie · 2017 · IEICE Transactions on Information and Systems
  62. Combining multiple deep cues for action recognition
    Ruiqi Wang, Xinxiao Wu · 2018 · Multimedia Tools and Applications
  63. Generating Adaptive Attending Behaviors using User State Classification and Deep Reinforcement Learning
    Yoshiki Kohari, Jun Miura, Shuji Oishi · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  64. A Deep Path Planning Algorithm Based on CNNs for Perception Images
    Gaolei Li, Yaofei Ma · 2018 · Chinese Automation Congress
  65. Human Action Recognition: A Survey
    Meixia Fu, Na Chen, Zhongjie Huang, Kaili Ni, Yuhao Liu, Songlin Sun, Xiaomei Ma · 2019 · Lecture notes in electrical engineering
  66. Learning Coarse and Fine Features for Precise Temporal Action Localization
    Jihwan Kim, Jae‐Pil Heo · 2019 · IEEE Access
  67. DeepSegment: Segmentation of motion capture data using deep convolutional neural network
    Hashim Yasin, Saqib Hayat · 2021 · Image and Vision Computing
  68. Multiple feature fusion in convolutional neural networks for action recognition
    Hongyang Li, Jun Chen, Ruimin Hu · 2017 · Wuhan University Journal of Natural Sciences
  69. RETRACTED ARTICLE: An effiecient human tracking system using Haar-like and hog feature extraction
    Dinesh Prasanna, M. Prabhakar · 2018 · Cluster Computing · Retracted
  70. Deep spectral feature pyramid in the frequency domain for long-term action recognition
    Gaoyun An, Zhenxing Zheng, Dapeng Oliver Wu, Wen Zhou · 2019 · Journal of Visual Communication and Image Representation
  71. Nonlinear gated channels networks for action recognition
    Zhigang Zhu, Hongbing Ji, Wenbo Zhang · 2019 · Neurocomputing
  72. Improving Action Recognition via Temporal and Complementary Learning
    Noureldin Elmadany, Yifeng He, Ling Guan · 2021 · ACM Transactions on Intelligent Systems and Technology
  73. Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach.
    Chongyang Wang, Temitayo Olugbade, Akhil Mathur, Amanda C de C Williams, Nicholas D. Lane, Nadia Bianchi‐Berthouze · 2019 · arXiv (Cornell University)
  74. IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
    Ke Yang, Peng Qiao, Dongsheng Li, Yong Dou · 2019 · arXiv (Cornell University)
  75. Application of Computer Simulation Analysis in Green City Garden Plant Landscape Design
    Jing Zhang · 2021 · Scientific Programming · Retracted
  76. Edge Guided Network With Motion Enhancement for Few-Shot Action Recognition
    Kaiwen Du, Weirong Ye, Hanyu Guo, Yan Yan, Hanzi Wang · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  77. Multimodal Dual-Graph Collaborative Network With Serial Attentive Aggregation Mechanism for Micro-Video Multi-Label Classification
    Yu Qiao, Wei Da Lu, Peiguang Jing, Weiming Wang, Yuting Su · 2025 · IEEE Transactions on Multimedia
  78. Transition Hough forest for trajectory-based action recognition
    Guillermo Garcia-Hernando, Hyung Jin Chang, Ismael Serrano, Óscar Déniz, Tae‐Kyun Kim · 2016 · IEEE Winter Conference on Applications of Computer Vision
  79. Diversity encouraging ensemble of convolutional networks for high performance action recognition
    Hao Yang, Chunfeng Yuan, Junliang Xing, Weiming Hu · 2017 · Proceedings - International Conference on Image Processing
  80. LSTM Neural Network based Tensile Stress Prediction of Rubber Streching
    Dazi Li, Mingjie Yan, Zhiwen Miao, Yue Fang, Jun Liu · 2020 · IEEE International Conference on Networking, Sensing and Control (ICNSC)
  81. A Comparative Analysis of Deep Learning Based Human Action Recognition Algorithms
    Aman Kumar Pandey, Anil Singh Parihar · 2023 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  82. A Survey on Backbones for Deep Video Action Recognition
    Zixuan Tang, Youjun Zhao, Yuhang Wen, Meng‐Yuan Liu · 2024 · IEEE International Conference on Multimedia and Expo workshops
  83. 3D GLOH features for human action recognition
    Ashwan Anwer Abdulmunem, Yu‐Kun Lai, Xianfang Sun · 2016 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  84. Video action classification using symmelets and deep learning
    Salah Alghyaline, Jun-Wei Hsieh, Chi-Hung Chuang · 2017 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  85. Top-Down Attention Recurrent VLAD Encoding for Action Recognition in Videos
    Swathikiran Sudhakaran, Oswald Lanz · 2018 · Lecture notes in computer science
  86. 3M2RNet: Multi-Modal Multi-Resolution Refinement Network for Semantic Segmentation
    Fahimeh Fooladgar, Shohreh Kasaei B · 2019 · Advances in intelligent systems and computing
  87. An Unsupervised Framework for Online Spatiotemporal Detection of Activities of Daily Living by Hierarchical Activity Models
    Farhood Negin, François Brémond · 2019 · Sensors
  88. Multiple depth-levels features fusion enhanced network for action recognition
    Shengquan Wang, Jun Kong, Min Jiang, Tianshan Liu · 2020 · Journal of Visual Communication and Image Representation
  89. STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition
    Xu Zhiwei, Xiao‐Jun Wu, Josef Kittler · 2021 · Machine Intelligence Research
  90. Visual and language semantic hybrid enhancement and complementary for video description
    Pengjie Tang, Yunlan Tan, Wenlang Luo · 2022 · Neural Computing and Applications
  91. Human action analysis models in artificial intelligence based proctoring systems and dataset for them
    Svetlana G. Antoshchuk, Anastasiia A. Breskina · 2023 · Applied Aspects of Information Technology
  92. Motion Representation with Acceleration Images
    Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh · 2016 · Lecture notes in computer science
  93. Inferring Human Activities Using Robust Privileged Probabilistic Learning
    Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou, Ioannis A. Kakadiaris · 2017 · IEEE International Conference on Computer Vision Workshops
  94. Spatiotemporal Fusion Networks for Video Action Recognition
    Zheng Liu, Haifeng Hu, Junxuan Zhang · 2019 · Neural Processing Letters
  95. Modelling a Spatial-Motion Deep Learning Framework to Classify Dynamic Patterns of Videos
    S. P. Kasthuri Arachchi, Timothy K. Shih, Noorkholis Luthfil Hakim · 2020 · Applied Sciences
  96. Activity Detection in Untrimmed Videos Using Chunk-based Classifiers
    Joshua Gleason, Steven L. Schwarcz, Rajeev Ranjan, Carlos D. Castillo, Jun-Cheng Chen, Rama Chellappa · 2020 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  97. A Hardware-adaptive Deep Feature Matching Pipeline for Real-time 3D Reconstruction
    Shuai Zheng, Yabin Wang, Baotong Li, Xin Shane Li · 2020 · Computer-Aided Design
  98. Temporal Contrastive Graph for Self-supervised Video Representation Learning.
    Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin · 2021 · arXiv (Cornell University)
  99. Interaction acceptance modelling and estimation for a proactive engagement in the context of human-robot interactions
    Timothée Dhaussy, Bassam Jabaian, Fabrice Lefèvre · 2023 · IEEE International Conference on Computer Vision Workshops
  100. SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition
    Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)