Mengyuan Liu

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i10-index	27	24

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Hong liuProfessor of Computer Science, Peking UniversityVerified email at pkusz.edu.cn
Chen ChenAssistant Professor, Center for Research in Computer Vision, University of Central FloridaVerified email at ucf.edu
Fanyang MengPeng Cheng LaboratoryVerified email at pcl.ac.cn
Qianru Sun 孙倩茹Assistant Professor of Computer Science, Singapore Management UniversityVerified email at smu.edu.sg
Baochang zhangBeihang universityVerified email at buaa.edu.cn
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
Junjun JiangHarbin Institute of TechnologyVerified email at hit.edu.cn
Jungong HanProfessor and Chair in Computer Science, Aberystwyth University, UKVerified email at aber.ac.uk
Bin RenPKU, University of Trento, University of PisaVerified email at unitn.it
Wei ShiPeking UniversityVerified email at pku.edu.cn
Junwu WengTencent AI LabVerified email at tencent.com
Xudong JiangIEEE Fellow, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Songtao WuAI Researcher, Sony RDCVerified email at sony.com
Nasser KehtarnavazErik Jonsson Distinguished Professor, University of Texas at DallasVerified email at utdallas.edu
Wenhao LiPh.D. Student, Peking UniversityVerified email at pku.edu.cn
Pichao WANGDAMO Academy, Alibaba Group (U.S.) Inc.Verified email at alibaba-inc.com
Maryam NajafianResearch Scientist at MIT, PhD University of BirminghamVerified email at mit.edu
Chen Chen (陈宸)Hong Kong University of Science and Technology; TencentVerified email at tencent.com
sheng-hua zhongAssociate Professor, Shenzhen UniversityVerified email at szu.edu.cn
Taojiannan YangUniversity of Central FloridaVerified email at knights.ucf.edu

Mengyuan Liu

Associate Professor, Sun Yat-sen University

Verified email at mail.sysu.edu.cn - Homepage

human action analysis computer vision deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Enhanced skeleton visualization for view invariant human action recognition M Liu, H Liu, C Chen Pattern Recognition (PR), 2017	501	2017
Recognizing Human Actions as the Evolution of Pose Estimation Maps M Liu, J Yuan IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018	208	2018
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition H Liu, J Tu, M Liu arXiv preprint arXiv:1705.08106, 2017	95	2017
3D Action Recognition Using Multi-temporal Depth Motion Maps and Fisher Vector C Chen, M Liu, B Zhang, J Han, J Jiang, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	71	2016
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition J Weng, M Liu, X Jiang, J Yuan European Conference on Computer Vision (ECCV), 2018	57	2018
A survey on 3d skeleton-based action recognition using learning method B Ren, M Liu, R Ding, H Liu arXiv preprint arXiv:2002.05907, 2020	53	2020
Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features C Chen, B Zhang, Z Hou, J Jiang, M Liu, Y Yang Multimedia Tools and Applications (MTA), 2017	52	2017
Depth Context: A new descriptor for human activity recognition by using sole depth sequences M Liu, H Liu Neurocomputing, 2016	52	2016
Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition C Chen, M Liu, H Liu, B Zhang, J Han, N Kehtarnavaz IEEE Access, 2017	49	2017
CNN-based reference comparison method for classifying bare PCB defects P Wei, C Liu, M Liu, Y Gao, H Liu The Journal of Engineering 2018 (16), 1528-1533, 2018	34	2018
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions M Liu, H Liu, C Chen IEEE Transactions on Multimedia (T-MM), 2017	28	2017
Spatial-temporal data augmentation based on LSTM autoencoder network for skeleton-based human action recognition J Tu, H Liu, F Meng, M Liu, R Ding IEEE International Conference on Image Processing (ICIP), 2018	27	2018
Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-based Human Action Recognition F Meng, H Liu, Y Liang, J Tu, M Liu IEEE Transactions on Image Processing (T-IP), 2019	24	2019
3D Action Recognition Using Multi-scale Energy-based Global Ternary Image M Liu, H Liu, C Chen IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2017	23	2017
Human action recognition using adaptive hierarchical depth motion maps and gabor filter H Liu, Q He, M Liu IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017	23	2017
Learning Directional Co-occurrence for Human Action Classification H Liu, M Liu, Q Sun IEEE International Conference on Acoustics, Speech and Signal Processing …, 2014	23	2014
Skeleton-Based Human Action Recognition Using Spatial Temporal 3D Convolutional Neural Networks J Tu, M Liu, H Liu IEEE International Conference on Multimedia and Expo (ICME), 2018	22	2018
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos M Liu, F Meng, C Chen, S Wu AAAI Conference on Artificial Intelligence (AAAI), 2019	18	2019
Salient pairwise spatio-temporal interest points for real-time activity recognition M Liu, H Liu, Q Sun, T Zhang, R Ding CAAI Transactions on Intelligence Technology (CAAI-TIT), 2016	17	2016
Fusing shape and motion matrices for view invariant action recognition using 3D skeletons M Liu, Q He, H Liu IEEE International Conference on Image Processing (ICIP), 2017	15	2017

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