HMDB: A large video database for human motion recognition

Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.·2011·2011 International Conference on Computer Vision
DOI 10.1109/iccv.2011.6126543

Cited by (1,010)

Items 101–200 of 1,010

  1. WebVision Database: Visual Learning and Understanding from Web Data
    Wen Li, Limin Wang, Li Wei, Eirikur Agustsson, Luc Van Gool · 2017 · arXiv (Cornell University)
  2. RESOUND: Towards Action Recognition Without Representation Bias
    Yingwei Li, Yi Li, Nuno M. Vasconcelos · 2018 · Lecture notes in computer science
  3. Human activity recognition in artificial intelligence framework: a narrative review
    Neha Gupta, Suneet Kr. Gupta, Rajesh K. Pathak, Vanita Jain, Parisa Rashidi, Jasjit S. Suri · 2022 · Artificial Intelligence Review
  4. Action Recognition with Stacked Fisher Vectors
    Xiaojiang Peng, Changqing Zou, Yu Qiao, Qiang Peng · 2014 · Lecture notes in computer science
  5. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
    Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wayne Zhang · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  6. PoTion: Pose MoTion Representation for Action Recognition
    Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  7. Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data
    Na Lü, Yidan Wu, Feng Li, Jinbo Song · 2018 · IEEE Journal of Biomedical and Health Informatics
  8. The Pose Knows: Video Forecasting by Generating Pose Futures
    Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  9. A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
    Santosh Kumar Yadav, Kamlesh Tiwari, Hari Mohan Pandey, Shaik Akbar · 2021 · Knowledge-Based Systems
  10. Learning to Track for Spatio-Temporal Action Localization
    Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
  11. A Robust and Efficient Video Representation for Action Recognition
    Heng Wang, Dan Oneaţă, J. Verbeek, Cordelia Schmid · 2015 · International Journal of Computer Vision
  12. Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
    Dahun Kim, Donghyeon Cho, In So Kweon · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  13. Attentional Pooling for Action Recognition
    Rohit Girdhar, Deva Ramanan · 2017 · arXiv (Cornell University)
  14. Rank Pooling for Action Recognition
    Basura Fernando, Efstratios Gavves, Jose Oramas M., Amir Ghodrati, Tinne Tuytelaars · 2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  15. A Review on Deep Learning Techniques for Video Prediction
    Oprea, Sergiu, Martinez-Gonzalez, Pablo, Garcia-Garcia, Alberto, Castro-Vargas, John Alejandro, Orts-Escolano, Sergio, Garcia-Rodriguez, Jose, Argyros, Antonis · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  16. HICO: A Benchmark for Recognizing Human-Object Interactions in Images
    Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
  17. Hidden Two-Stream Convolutional Networks for Action Recognition
    Yi Zhu, Zhenzhong Lan, Shawn D. Newsam, Alexander G. Hauptmann · 2019 · Lecture notes in computer science
  18. Self-Supervised Learning by Cross-Modal Audio-Video Clustering
    Alwassel, Humam, Mahajan, Dhruv, Korbar, Bruno, Torresani, Lorenzo, Ghanem, Bernard, Tran, Du · 2019 · arXiv
  19. The KIT Motion-Language Dataset
    Matthias Plappert, Christian Mandery, Tamim Asfour · 2016 · Big Data
  20. MARS: Motion-Augmented RGB Stream for Action Recognition
    Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  21. Self-supervised Co-training for Video Representation Learning
    Han, Tengda, Xie, Weidi, Zisserman, Andrew · 2020 · arXiv
  22. Describing Videos by Exploiting Temporal Structure
    Yao, Li, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron C. Courville · 2015 · arXiv (Cornell University)
  23. Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
    Pigou, Lionel, van den Oord, Aäron, Dieleman, Sander, Van Herreweghe, Mieke, Dambre, Joni · 2018 · International Journal of Computer Vision
  24. Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
    Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao · 2020 · Lecture notes in computer science
  25. Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
    Deepti Ghadiyaram, Du Tran, Dhruv Kumar Mahajan · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  26. A Survey on Deep Learning for Human Activity Recognition
    Fuqiang Gu, Mu-Huan Chung, Mark Chignell, Shahrokh Valaee, Baoding Zhou, Xue Liu · 2021 · ACM Computing Surveys
  27. Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
    Gurkirt Singh, Suman Saha, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin A · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  28. Human action recognition using fusion of multiview and deep features: an application to video surveillance
    Khan, Muhammad Attique, Javed, Kashif, Khan, Sajid Ali, Saba, Tanzila, Habib, Usman, Khan, Junaid Ali, Abbasi, Aaqif Afzaal · 2020 · Multimedia Tools and Applications
  29. Beyond Short Snippets: Deep Networks for Video Classification
    Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George D. Toderici · 2015 · arXiv (Cornell University)
  30. Spatiotemporal Pyramid Network for Video Action Recognition
    Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  31. TEINet: Towards an Efficient Architecture for Video Recognition
    Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Yu Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lü · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  32. Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition
    Zhenzhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  33. Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition
    Xuanhan Wang, Lianli Gao, Jingkuan Song, Heng Tao Shen · 2016 · IEEE Signal Processing Letters
  34. Action Recognition with Dynamic Image Networks
    Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi · 2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  35. HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization
    Hang Zhao, Antonio B. Torralba, Lorenzo Torresani, Zhicheng Yan · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  36. ACTION-Net: Multipath Excitation for Action Recognition
    Zhengwei Wang, Qi She, Aljoša Smolić · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  37. SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
    Silvio Giancola, Mohieddine Amine, Tarek Dghaily, Bernard Ghanem · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  38. Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
    Wu Liu, Qian Bao, Yu Ming Sun, Tao Mei · 2022 · ACM Computing Surveys
  39. Learning Video Representations using Contrastive Bidirectional Transformer
    Chen Sun, Fabien Baradel, Kevin P. Murphy, Cordelia Schmid · 2019 · arXiv (Cornell University)
  40. Detect-and-Track: Efficient Pose Estimation in Videos
    Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  41. Large-Margin Multi-ViewInformation Bottleneck
    Chang Xu, Dacheng Tao, Chao Xu · 2014 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  42. Learning to Score Olympic Events
    Paritosh Parmar, Brendan Morris · 2017 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  43. Domain Adaptation: Challenges, Methods, Datasets, and Applications
    Peeyush Singhal, Rahee A. Walambe, Sheela Ramanna, Ketan V. Kotecha · 2023 · IEEE Access
  44. Spatio-temporal video autoencoder with differentiable memory
    Viorica Pătrăucean, Ankur Handa, Roberto Cipolla · 2015 · arXiv (Cornell University)
  45. Multi-stream CNN: Learning representations based on human-related regions for action recognition
    Zhigang Tu, Wei Chau Xie, Qianqing Qin, Ronald W. Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan · 2018 · Pattern Recognition
  46. Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
    Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool · 2017 · arXiv (Cornell University)
  47. MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
    Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  48. TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
    Chih‐Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib · 2018 · Signal Processing Image Communication
  49. Clean-Label Backdoor Attacks on Video Recognition Models
    Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu–Gang Jiang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  50. Self-Supervised MultiModal Versatile Networks
    Jean-Baptiste Alayrac, Adrià Recasens, Rosália G. Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman · 2020 · arXiv (Cornell University)
  51. A Key Volume Mining Deep Framework for Action Recognition
    Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  52. Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
    Mohammadreza Zolfaghari, Gabriel Leivas Oliveira, Nima Sedaghat, Thomas Brox · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  53. Multi-fiber Networks for Video Recognition
    Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng · 2018 · Lecture notes in computer science
  54. Efficient Feature Extraction, Encoding, and Classification for Action Recognition
    Vadim Kantorov, Ivan Laptev · 2014 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  55. Learning Spatiotemporal Features Using 3DCNN and Convolutional LSTM for Gesture Recognition
    Liang Zhang, Guangming Zhu, Peiyi Shen, Juan Song, Syed Afaq Ali Shah, Mohammed Bennamoun · 2017 · IEEE International Conference on Computer Vision Workshops
  56. MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language
    Hamid Reza Vaezi Joze, Oscar Koller · 2018 · arXiv (Cornell University)
  57. Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
    Xiaojun Chang, Yi Yang · 2016 · IEEE Transactions on Neural Networks and Learning Systems
  58. VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
    Pan Tian, Yibing Song, Tianyu Yang, Wenhao Jiang, Wei Liu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  59. InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
    Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Zun Wang, Yansong Shi et al. · 2024 · Lecture notes in computer science
  60. Deep Temporal Linear Encoding Networks
    Ali Diba, Vivek Sharma, Luc Van Gool · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  61. SpeedNet: Learning the Speediness in Videos
    Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  62. Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
    Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  63. REPAIR: Removing Representation Bias by Dataset Resampling
    Yi Li, Nuno M. Vasconcelos · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  64. End-to-End Learning of Motion Representation for Video Understanding
    Lijie Fan, Wenbing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  65. A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
    Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu · 2016 · Frontiers in Robotics and AI
  66. Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
    Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad · 2022 · Computers in Biology and Medicine
  67. Actions ~ Transformations
    Xiaolong Wang, Ali Farhadi, Abhinav Gupta · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  68. Timeception for Complex Action Recognition
    Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  69. Connectionist Temporal Modeling for Weakly Supervised Action Labeling
    Huang, De-An, Fei-Fei, Li, Niebles, Juan Carlos · 2016 · Lecture Notes in Computer Science
  70. Continental-scale mapping and analysis of 3D building structure
    Mengmeng Li, Elco Koks, Hannes Taubenböck, Jasper van Vliet · 2020 · Remote Sensing of Environment
  71. MERLOT: Multimodal Neural Script Knowledge Models
    Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi · 2021 · arXiv (Cornell University)
  72. Self-supervised Video Representation Learning by Pace Prediction
    Jiangliu Wang, Jianbo Jiao, Yunhui Liu · 2020 · Lecture notes in computer science
  73. A large-scale study on unsupervised spatiotemporal representation learning
    Feichtenhofer, Christoph, Fan, Haoqi, Xiong, Bo, Girshick, Ross, He, Kaiming · 2021 · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  74. Adaptive Unsupervised Feature Selection With Structure Regularization
    Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng · 2017 · IEEE Transactions on Neural Networks and Learning Systems
  75. I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
    Junyu Gao, Tianzhu Zhang, Changsheng Xu · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  76. VidTr: Video Transformer Without Convolutions
    Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  77. Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN
    Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang · 2017 · IEEE Transactions on Multimedia
  78. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
    Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta · 2016 · arXiv (Cornell University)
  79. Spatio-Temporal Laplacian Pyramid Coding for Action Recognition
    Ling Shao, Xiantong Zhen, Dacheng Tao, Xuelong Li · 2013 · IEEE Transactions on Cybernetics
  80. Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions
    Pranjal Kumar, Siddhartha Chauhan, Lalit Kumar Awasthi · 2023 · Archives of Computational Methods in Engineering
  81. Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos
    Wenbin Du, Yali Wang, Yu Qiao · 2017 · IEEE Transactions on Image Processing
  82. Audio-Visual Instance Discrimination with Cross-Modal Agreement
    Pedro M. Morgado, Nuno M. Vasconcelos, Ishan Misra · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  83. Detecting Events and Key Actors in Multi-person Videos
    Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin P. Murphy, Li Fei-Fei · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  84. PYSKL: Towards Good Practices for Skeleton Action Recognition
    Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin · 2022 · ACM International Conference on Multimedia (ACM MM)
  85. On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location
    Osman Semih Kayhan, Jan C. van Gemert · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  86. Anticipative Video Transformer
    Rohit Girdhar, Kristen Lorraine Grauman · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  87. Memory-Augmented Dense Predictive Coding for Video Representation Learning
    Tengda Han, Weidi Xie, Andrew Zisserman · 2020 · Lecture notes in computer science
  88. Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
    Wang, Jiangliu, Jiao, Jianbo, Bao, Linchao, He, Shengfeng, Liu, Yunhui, Liu, Wei · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  89. The KIT whole-body human motion database
    Christian Mandery, Ömer Terlemez, Martin Do, Nikolaus Vahrenkamp, Tamim Asfour · 2015 · International Conference on Advanced Robotics (ICAR)
  90. Asymmetric 3D Convolutional Neural Networks for action recognition
    Hao Yang, Chunfeng Yuan, Bing Li, Yang Du, Junliang Xing, Weiming Hu, Stephen J. Maybank · 2018 · Pattern Recognition
  91. Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition
    Fan Zhu, Ling Shao · 2014 · International Journal of Computer Vision
  92. Trajectory-Based Modeling of Human Actions with Motion Reference Points
    Yu–Gang Jiang, Qi Dai, Xiangyang Xue, Wei Liu, Chong‐Wah Ngo · 2012 · Lecture notes in computer science
  93. Lattice Long Short-Term Memory for Human Action Recognition
    Lin Sun, Kui Jia, Kevin Chen, Dit‐Yan Yeung, Bertram Emil Shi, Silvio Savarese · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  94. Multi-view Super Vector for Action Recognition
    Zhuowei Cai, Limin Wang, Xiaojiang Peng, Yu Qiao · 2014 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  95. Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
    Aneela Zameer, Junaid Arshad, Asifullah Khan, Muhammad Asif Zahoor Raja · 2016 · Energy Conversion and Management
  96. Rethinking Spatiotemporal Feature Learning For Video Understanding.
    Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin P. Murphy · 2017
  97. Learning Spatio-Temporal Representation With Local and Global Diffusion
    Zhaofan Qiu, Ting Yao, Chong‐Wah Ngo, Xinmei Tian, Tao Mei · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  98. Towards Accurate Generative Models of Video: A New Metric & Challenges
    Unterthiner, Thomas, van Steenkiste, Sjoerd, Kurach, Karol, Marinier, Raphael, Michalski, Marcin, Gelly, Sylvain · 2018 · arXiv
  99. Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
    Mohammadamin Barekatain, Miquel Martí I Rabadán, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger · 2017 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  100. Few-Shot Action Recognition with Permutation-Invariant Attention
    Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz · 2020 · Lecture notes in computer science