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Point cloud sequences are irregular and unordered in the spatial dimension while exhibiting regularities and order in the temporal dimension.
A method for registration of 3-d shapes
Paul J. Besl and Neil D. McKay · 1992
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A spatio-temporal descriptor based on 3d-gradients
Alexander Kläser, Marcin Marszalek, and Cordelia Schmid · 2008
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Action recognition based on a bag of 3d points
Wanqing Li, Zhengyou Zhang, and Zicheng Liu · 2010
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STOP: space-time occupancy patterns for 3d action recognition from depth map sequences
Antônio Wilson Vieira, Erickson R. Nascimento, Gabriel L. Oliveira, Zicheng Liu, and Mario Fernando Montenegro Campos · 2012
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Mining actionlet ensemble for action recognition with depth cameras
Jiang Wang, Zicheng Liu, Ying Wu, and Junsong Yuan · 2012
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Joint angles similarities and HOG2 for action recognition
Eshed Ohn-Bar and Mohan M. Trivedi · 2013
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HON4D: histogram of oriented 4d normals for activity recognition from depth sequences
Omar Oreifej and Zicheng Liu · 2013
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Super normal vector for activity recognition using depth sequences
Xiaodong Yang and Yingli Tian · 2014
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Beyond short snippets: Deep networks for video classification
Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, and George Toderici · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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The SYNTHIA dataset: A large collection of synthetic images for semantic segmentation of urban scenes
Germán Ros, Laura Sellart, Joanna Materzynska, David Vázquez, and Antonio M. López · 2016
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NTU RGB+D: A large scale dataset for 3d human activity analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng, and Gang Wang · 2016
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Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
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Quo vadis, action recognition? A new model and the kinetics dataset
João Carreira and Andrew Zisserman · 2017
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, and Matthias Nießner · 2017
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Complex event detection by identifying reliable shots from untrimmed videos
Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, and Alexander G. Hauptmann · 2017
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Global context-aware attention LSTM networks for 3d action recognition
Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, and Alex C. Kot · 2017
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Skeleton-based human action recognition with global context-aware attention LSTM networks
Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, and Alex C. Kot · 2017
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Watching a small portion could be as good as watching all: Towards efficient video classification
Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, and Yi Yang · 2018
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Ntu rgb+d 120: A large-scale benchmark for 3d human activity understanding
Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C. Kot · 2019
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Skeleton-based online action prediction using scale selection network
Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, and Alex C. Kot · 2019
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Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, and Andreas Geiger · 2019
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Deep hough voting for 3d object detection in point clouds
Charles Ruizhongtai Qi, Or Litany, Kaiming He, and Leonidas J. Guibas · 2019
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An attention enhanced graph convolutional LSTM network for skeleton-based action recognition
Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, and Tieniu Tan · 2019
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Kpconv: Flexible and deformable convolution for point clouds
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Depth pooling based large-scale 3-d action recognition with convolutional neural networks
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Dynamic graph CNN for learning on point clouds
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Pointconv: Deep convolutional networks on 3d point clouds
Wenxuan Wu, Zhongang Qi, and Fuxin Li · 2019
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View adaptive neural networks for high performance skeleton-based human action recognition
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Explainable video action reasoning via prior knowledge and state transitions
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Tranquil clouds: Neural networks for learning temporally coherent features in point clouds
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Caspr: Learning canonical spatiotemporal point cloud representations
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3dv: 3d dynamic voxel for action recognition in depth video
Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, and Junsong Yuan · 2020
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Label independent memory for semi-supervised few-shot video classification
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Understanding atomic hand-object interaction with human intention
Hehe Fan, Tao Zhuo, Xin Yu, Yi Yang, and Mohan S. Kankanhalli · 2021
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A universal representation transformer layer for few-shot image classification
Lu Liu, William Hamilton, Guodong Long, Jing Jiang, and Hugo Larochelle · 2021
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