Projects

Research on Integrative Method of Action Recognition and Detection Based on Generative Model (NNSF 2015)

Selected Publications

[1] Li S, Yu B, Wu W, Su S, *Ji R, 2015. Feature learning based on SAE-PCA network for human gesture recognition in RGBD images, Neurocomputing, 151: 565-573 (Elsevier: SCI/EI).

[2] Su S, Liu Z, Xu S, Li S, *Ji R, 2015. Sparse auto-encoder based feature learning for human body detection in depth image, Signal Processing, 112: 43-52 (Elsevier: SCI/EI).

[3] Zhang H, *Li S, Chen S, Su S, Lin X, Cao D, 2015. Locating and recognizing multiple human actions by searching for maximum score subsequences, Signal, Image and Video Processing, 9(3): 705-714 (Springer: SCI/EI).

[4] Cao D, *Ji R, Lin D, Li S, 2015. Visual sentiment topic model based microblog image sentiment analysis, Multimedia Tools and Applications, DOI: 10.1007/s11042-014-2337-z (Springer: SCI/EI).

[5] Cao D, *Ji R, Lin D, Li S, 2015. A cross-media public sentiment analysis system for microblog. Multimedia Systems, DOI: 10.1007/s00530-014-0407-8 (Springer: SCI/EI).

[6] *Liu W, Ji R, Li S, 2015. Towards 3D object detection with bimodal deep Boltzmann machines over RGBD imagery, CVPR, 3013-3021. 顶级会议

[7] 庄伟源,成运,*林贤明,苏松志,曹东林,李绍滋,2015.关键肢体角度直方图的行为识别,智能系统学报, 10(1):20-26.

[8] 林贤明,*李绍滋,庄伟源,2015.融合多特征的行为识别方法研究,计算机工程与应用,51(5): 132-136.