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刘梦源

“刘梦源”

工作单位:南洋理工大学research fellow

现居住地:新加坡

学位论文:基于深度序列时空结构的人体行为识别方法

电子邮箱nkliuyifang@gmail.com

发表论文

# 作者 期刊|会议 论文
1 Liu M, Liu H, Chen C Pattern Recognition Enhanced skeleton visualization for view invariant human action recognition[
2 Liu M, Liu H, Chen C IEEE Transactions on Circuits & Systems for Video Technology 3D Action Recognition Using Multi-scale Energy-based Global Ternary Image
3 Liu M, Liu H Neurocomputing Depth Context: a new descriptor for human activity recognition by using sole depth sequences
4 Sun Q, Liu H, Liu M Neurocomputing Human activity prediction by mapping grouplets to recurrent Self-Organizing Map
5 Liu M, Chen C, Liu H IEEE International Conference on Multimedia and Expo LEARNING INFORMATIVE PAIRWISE JOINTS WITH ENERGY-BASED TEMPORAL PYRAMID FOR 3D ACTION RECOGNITION
6 Liu M, Chen C, Liu H IEEE International Conference on Multimedia and Expo 3D ACTION RECOGNITION USING DATA VISUALIZATION AND CONVOLUTIONAL NEURAL NETWORKS
7 Liu M, Liu H, Sun Q IEEE International Conference on Multimedia and Expo Action classification by exploring directional co-occurrence of weighted stips
8 Liu M, Liu H, Chen C International Conference on 3d Vision. IEEE Energy-Based Global Ternary Image for Action Recognition Using Sole Depth Sequences
9 Liu M, Chen C, Meng F 3D ACTION RECOGNITION USING MULTI-TEMPORAL SKELETON VISUALIZATION
10 Liu M, Liu H, Sun Q Caai Transactions on Intelligence Technology Salient pairwise spatio-temporal interest points for real-time activity recognition
11 Chen C, Liu M, Zhang B International Joint Conference on Artificial Intelligence. AAAI Press 3D action recognition using multi-temporal depth motion maps and fisher vector
12 Liu H, Liu M, Sun Q Learning directional co-occurrence for human action classification
13 Liu M, Liu H, Chen C IEEE Transactions on Multimedia (T-MM) Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions