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Capturing Global Semantic Relationships for Facial Action Unit Recognition
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Ziheng Wang,Yongqiang Li,Shangfei Wang,Qiang Ji
Issue Date:December 2013
pp. 3304-3311
In this paper we tackle the problem of facial action unit (AU) recognition by exploiting the complex semantic relationships among AUs, which carry crucial top-down information yet have not been thoroughly exploited. Towards this goal, we build a hierarchic...
 
Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Ziheng Wang,Shangfei Wang,Qiang Ji
Issue Date:June 2013
pp. 3422-3429
Spatial-temporal relations among facial muscles carry crucial information about facial expressions yet have not been thoroughly exploited. One contributing factor for this is the limited ability of the current dynamic models in capturing complex spatial an...
 
Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yongmian Zhang, Yifan Zhang,E. Swears,N. Larios, Ziheng Wang, Qiang Ji
Issue Date:October 2013
pp. 2468-2483
Complex activities typically consist of multiple primitive events happening in parallel or sequentially over a period of time. Understanding such activities requires recognizing not only each individual event but, more importantly, capturing their spatiote...
 
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