Action recognition with trajectory-pooled deep-convolutional descriptors

Cited by (1,001)

Items 101–200 of 1,001

1. Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition
   Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan · 2019 · IEEE Transactions on Image Processing
2. Combining multiple sources of knowledge in deep CNNs for action recognition
   Eunbyung Park, Xufeng Han, Tamara L. Berg, Alexander C. Berg · 2016 · IEEE Winter Conference on Applications of Computer Vision
3. Human action recognition using transfer learning with deep representations
   Allah Bux Sargano, Xiaofeng Wang, Plamen Parvanov Angelov, Zulfiqar Habib · 2017 · International Joint Conference on Neural Networks (IJCNN)
4. Ambient Sensors for Elderly Care and Independent Living: A Survey
   Uddin, Md. Zia, Khaksar, Weria, Torresen, Jim · 2018 · Sensors
5. AENet: Learning Deep Audio Features for Video Analysis
   Naoya Takahashi, Michael Gygli, Luc Van Gool · 2017 · IEEE Transactions on Multimedia
6. Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning
   Ohoud Nafea, Wadood Abdul, Ghulam Muhammad, Mansour Alsulaiman · 2021 · Sensors
7. Sensing Technology for Human Activity Recognition: A Comprehensive Survey
   Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper · 2020 · IEEE Access
8. Towards Context-Aware Interaction Recognition for Visual Relationship Detection
   Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
9. Semi-Supervised Video Object Segmentation with Super-Trajectories
   Wen-Guan Wang, Jian-Bing Shen, F. Porikli, Rui-Gang Yang · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
10. WiAct: A Passive WiFi-Based Human Activity Recognition System
    Huan Yan, Yong Zhang, Yujie Wang, Kangle Xu · 2019 · IEEE Sensors Journal
11. Toward human activity recognition: a survey
    Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza · 2022 · Neural Computing and Applications
12. Spatiotemporal Multimodal Learning With 3D CNNs for Video Action Recognition
    Hanbo Wu, Xin Ma, Yibin Li · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
13. Group-aware Contrastive Regression for Action Quality Assessment
    Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
14. Non-local Neural Networks
    Wang, Xiaolong, Girshick, Ross, Gupta, Abhinav, He, Kaiming · 2017 · arXiv
15. Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition
    Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen · 2016 · IEEE Transactions on Circuits and Systems for Video Technology
16. Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks
    Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
17. Correlational Convolutional LSTM for human action recognition
    Mahshid Majd, Reza Safabakhsh · 2019 · Neurocomputing
18. Asynchronous Temporal Fields for Action Recognition
    Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi, Abhinav Gupta · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
19. ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results
    Sérgio Escalera, Junior Fabián, Pablo Llopis Pardo, Xavier Baró, Jordi Gonzàlez, Hugo Jair Escalante, Dusan Misevic, Ulrich Karl Steiner, Isabelle Guyon · 2015 · IEEE International Conference on Computer Vision Workshops
20. Video Visual Relation Detection
    Xindi Shang, Tongwei Ren, Jingfan Guo, Hanwang Zhang, Tat‐Seng Chua · 2017 · ACM International Conference on Multimedia (ACM MM)
21. MotionSqueeze: Neural Motion Feature Learning for Video Understanding
    Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho · 2020 · Lecture notes in computer science
22. Combining CNN streams of RGB-D and skeletal data for human activity recognition
    Pushpajit Khaire, Praveen Kumar, Javed Imran · 2018 · Pattern Recognition Letters
23. Boundary-Aware Cascade Networks for Temporal Action Segmentation
    Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu · 2020 · Lecture notes in computer science
24. Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection
    Hongsong Wang, Liang Wang · 2018 · IEEE Transactions on Image Processing
25. TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning
    Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin · 2022 · IEEE Transactions on Image Processing
26. DB-LSTM: Densely-connected Bi-directional LSTM for human action recognition
    Jun-Yan He, Xiao Ying Wu, Zhi-Qi Cheng, Zhaoquan Yuan, Yu–Gang Jiang · 2020 · Neurocomputing
27. Spatio-temporal deformable 3D ConvNets with attention for action recognition
    Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang · 2019 · Pattern Recognition
28. Deep learning for video classification and captioning
    Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang · 2017
29. T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition
    Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadóng Ma · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
30. What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
    De-An Huang, Vignesh Ramanathan, Dhruv Kumar Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
31. A Pursuit of Temporal Accuracy in General Activity Detection
    Yuanjun Xiong, Yue Zhao, Limin Wang, Dahua Lin, Tang, Xiaoou · 2017 · arXiv (Cornell University)
32. Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation
    Qing Li, Zhaofan Qiu, Ting Yao, Tao Mei, Yong Rui, Jiebo Luo · 2016 · International Conference on Multimedia Retrieval
33. Procedural Generation of Videos to Train Deep Action Recognition Networks
    César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel López · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
34. From handcrafted to learned representations for human action recognition: A survey
    Fan Zhu, Ling Shao, Jin Xie, Yi Fang · 2016 · Image and Vision Computing
35. Two-Stream Collaborative Learning With Spatial-Temporal Attention for Video Classification
    Yuxin Peng, Yunzhen Zhao, Junchao Zhang · 2018 · IEEE Transactions on Circuits and Systems for Video Technology
36. Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification
    Yu–Gang Jiang, Zuxuan Wu, Jinhui Tang, Zechao Li, Xiangyang Xue, Shih‐Fu Chang · 2018 · IEEE Transactions on Multimedia
37. What Do We Understand About Convolutional Networks?
    Isma Hadji, Richard P. Wildes · 2018 · arXiv (Cornell University)
38. MoFAP: A Multi-level Representation for Action Recognition
    Limin Wang, Yu Qiao, Xiaoou Tang · 2015 · International Journal of Computer Vision
39. Multimodal Keyless Attention Fusion for Video Classification
    Xiang Long, Chuang Gan, Gerard de Melo, Xiao Liu, Yandong Li, Fu Li, Shilei Wen · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
40. Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition
    Shichao Zhao, Yanbin Liu, Yahong Han, Richang Hong, Qinghua Hu, Qi Tian · 2017 · IEEE Transactions on Circuits and Systems for Video Technology
41. Early Action Prediction by Soft Regression
    Jian–Fang Hu, Wei‐Shi Zheng, Lianyang Ma, Gang Wang, Jianhuang Lai, Jianguo Zhang · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
42. Automatic Learning of Gait Signatures for People Identification
    Francisco M. Castro, Manuel Jesús Marín-Jiménez, Nicolás Guil, Nicolás Pérez de la Blanca · 2017 · Lecture notes in computer science
43. Deep Local Video Feature for Action Recognition
    Zhenzhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam · 2017 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
44. MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
    Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
45. MoVi: A large multi-purpose human motion and video dataset
    Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad Paul Kording, Douglas J. Cook, Gunnar Blohm, Nikolaus F. Troje · 2021 · PLoS ONE
46. Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
    Chun-Fu Richard Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
47. Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition
    Karan Ahuja, Yue Jiang, Mayank Goel, Chris Harrison · 2021 · CHI Conference on Human Factors in Computing Systems
48. Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition
    Zhigang Tu, Wei Chau Xie, Justin Dauwels, Baoxin Li, Junsong Yuan · 2018 · IEEE Transactions on Circuits and Systems for Video Technology
49. Human violence recognition and detection in surveillance videos
    Piotr Biliński, François Brémond · 2016 · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
50. SmallBigNet: Integrating Core and Contextual Views for Video Classification
    Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
51. Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification
    Xiaodong Yang, Pavlo A. Molchanov, Jan Kautz · 2016 · ACM International Conference on Multimedia (ACM MM)
52. RF-Net: An End-To-End Image Matching Network Based on Receptive Field
    Xuelun Shen, Cheng Wang, Xin Shane Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. Human Action Monitoring for Healthcare Based on Deep Learning
    Yongbin Gao, Xuehao Xiang, Naixue N. Xiong, Bo Huang, Hyo Jong Lee, Rad Alrifai, Xiaoyan Jiang, Zhijun Fang · 2018 · IEEE Access
54. Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
    Xiaochun Luo, Heng Li, Xincong Yang, Yantao Yu, Dongping Cao · 2018 · Computer-Aided Civil and Infrastructure Engineering
55. A Review on Computer Vision-Based Methods for Human Action Recognition
    Mahmoud Al-Faris, John P. Chiverton, David Lorater Ndzi, Ahmed Isam Ahmed · 2020 · Journal of Imaging
56. DynamoNet: Dynamic Action and Motion Network
    Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
57. Discriminative Multi-instance Multitask Learning for 3D Action Recognition
    Yanhua Yang, Cheng Dan Deng, Shangqian Gao, Wei Liu, Dapeng Tao, Xinbo Gao · 2016 · IEEE Transactions on Multimedia
58. You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images
    Chuang Gan, Ting Yao, Kuiyuan Yang, Yi Yang, Tao Mei · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
59. Discriminative Hierarchical Rank Pooling for Activity Recognition
    Basura Fernando, Peter Anderson, Marcus Hütter, Stephen Jay Gould · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
60. Trajectory-Based Surveillance Analysis: A Survey
    Sk. Arif Ahmed, D. Dogra, S. Kar, P. Roy · 2019 · IEEE transactions on circuits and systems for video technology (Print)
61. A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System
    Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, Md Roman Bhuiyan, Wan-Noorshahida Mohd-Isa, Jia Uddin, Mohammad A. Haque, Mohd Nizam Husen · 2022 · Journal of Imaging
62. Multi-stream Deep Networks for Person to Person Violence Detection in Videos
    Zhihong Dong, Jie Qin, Yunhong Wang · 2016 · Communications in computer and information science
63. A resource conscious human action recognition framework using 26-layered deep convolutional neural network
    Muhammad Attique Khan, Yudong Zhang, Sajid Ali Khan, Muhammad Attique, Amjad Ur Rehman, Sanghyun Seo · 2020 · Multimedia Tools and Applications
64. Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules
    Congqi Cao, Yifan Zhang, Yi Wu, Hanqing Lu, Jian Cheng · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
65. Sequential Video VLAD: Training the Aggregation Locally and Temporally
    Youjiang Xu, Yahong Han, Richang Hong, Qi Tian · 2018 · IEEE Transactions on Image Processing
66. Step-by-step Erasion, One-by-one Collection
    Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li · 2018 · ACM International Conference on Multimedia (ACM MM)
67. End-to-end Video-level Representation Learning for Action Recognition
    Jiagang Zhu, Zheng Dong Zhu, Wei Zou · 2018 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
68. Actionness Estimation Using Hybrid Fully Convolutional Networks
    Limin Wang, Yu Qiao, Xiaoou Tang, Luc Van Gool · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
69. Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
    Yu Rong Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
70. A Comprehensive Study on Center Loss for Deep Face Recognition
    Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao · 2019 · International Journal of Computer Vision
71. PANDA: A Gigapixel-Level Human-Centric Video Dataset
    Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai et al. · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
72. Human Action Recognition from Various Data Modalities: A Review
    Hossein Rahmani, Mohammed Bennamoun, Qiuhong Ke · 2021
73. Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification
    Yang Du, Chunfeng Yuan, Bing Li, Lili Zhao, Yangxi Li, Weiming Hu · 2018 · Lecture notes in computer science
74. PA3D: Pose-Action 3D Machine for Video Recognition
    An Yan, Yali Wang, Zhifeng Li, Yu Qiao · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
75. Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames
    Chuang Gan, Chen Sun, Lixin Duan, Boqing Gong · 2016 · Lecture notes in computer science
76. A CNN-Based Framework for Comparison of Contactless to Contact-Based Fingerprints
    Chenhao Lin, Ajay Kumar · 2018 · IEEE Transactions on Information Forensics and Security
77. Three-stream CNNs for action recognition
    Liangliang Wang, Lianzheng Ge, Ruifeng Li, Yajun Fang · 2017 · Pattern Recognition Letters
78. Locally Supervised Deep Hybrid Model for Scene Recognition
    Sheng Guo, Weilin Huang, Limin Wang, Yu Qiao · 2016 · IEEE Transactions on Image Processing
79. Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
    Zhe Wang, Limin Wang, Limin Wang, Bowen Zhang, Yu Qiao · 2017 · IEEE Transactions on Image Processing
80. SGM-Net: Skeleton-guided multimodal network for action recognition
    Jianan Li, Xuemei Xie, Qingzhe Pan, Yuhan Cao, Zhifu Zhao, Guangming Shi · 2020 · Pattern Recognition
81. In the Eye of the Beholder: Gaze and Actions in First Person Video
    Yin Li, Miao Liu, James Matthew Rehg · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
82. Recognize Actions by Disentangling Components of Dynamics
    Yue Zhao, Yuanjun Xiong, Dahua Lin · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
83. Temporal Action Detection with Structured Segment Networks
    Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin · 2019 · International Journal of Computer Vision
84. Large Age-Gap face verification by feature injection in deep networks
    Simone Bianco · 2017 · Pattern Recognition Letters
85. Fast Fine-Grained Image Classification via Weakly Supervised Discriminative Localization
    Xiangteng He, Yuxin Peng, Junjie Zhao · 2018 · IEEE Transactions on Circuits and Systems for Video Technology
86. Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
    Francisco M. Castro, Manuel Jesús Marín-Jiménez, Nicolás Guil, Nicolás Pérez de la Blanca · 2020 · Neural Computing and Applications
87. Video Activity Recognition: State-of-the-Art
    Itsaso Rodríguez-Moreno, J. M. Martínez-Otzeta, B. Sierra, I. Rodriguez, E. Jauregi · 2019 · Italian National Conference on Sensors
88. Predicting the Where and What of Actors and Actions through Online Action Localization
    Khurram Soomro, Haroon Idrees, Mubarak A. Shah · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
89. Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection
    Muhammad Attique Khan, Tallha Akram, Muhammad Imran Sharif, Tanzila Saba · 2020 · Multimedia Tools and Applications
90. Sports Video Captioning via Attentive Motion Representation and Group Relationship Modeling
    Mengshi Qi, Yunhong Wang, Annan Li, Jiebo Luo · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
91. Dynamic Sampling Networks for Efficient Action Recognition in Videos
    Yin-Dong Zheng, Zhaoyang Liu, Tong Lü, Limin Wang · 2020 · IEEE Transactions on Image Processing
92. Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
    Linchao Zhu, Zhongwen Xu, Yi Yang · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
93. Generalized Rank Pooling for Activity Recognition
    Anoop Cherian, Basura Fernando, Mehrtash Tafazzoli Harandi, Stephen Jay Gould · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
94. Slicing Convolutional Neural Network for Crowd Video Understanding
    Jing Shao, Chen Change Loy, Kai Kang, Xiaogang Wang · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
95. Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition
    Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo‐Hwee Lim, G. S. D. Babu, Phyo Phyo San, Ngai Man Cheung · 2016 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
96. Trajectory Convolution for Action Recognition
    Yue Zhao, Yuanjun Xiong, Dahua Lin · 2018 · neural information processing systems
97. Hierarchical Graph Convolutional Networks for Action Quality Assessment
    Kanglei Zhou, Yue Ma, Hubert P. H. Shum, Xiaohui Liang · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
98. Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition
    Jinliang Zang, Le Wang, Ziyi Liu, Qilin Zhang, Gang Hua, Nanning Zheng · 2018 · IFIP advances in information and communication technology
99. VLAD3: Encoding Dynamics of Deep Features for Action Recognition
    Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno M. Vasconcelos · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
100. An attention mechanism based convolutional LSTM network for video action recognition
     Hongwei Ge, Zehang Yan, Wenhao Yu, Liang Sun · 2019 · Multimedia Tools and Applications