刘梦源
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 |