Update Several positions are available for highly motivated students who are interested in pursuing Master or Ph.D degrees in the areas of Machine Learning and Patten Recognition. Please feel free to contact me if you are interested.
Study on Expression Recognition Methods based on Probabilistic Graphical Model by Fusing Cognitive Mechanism New
PI, 2016.01-2018.12, NSFC Project
In this project, noval facial expression recognition methods based on probabilistic graphical models will be studied, and the cognitive mechanisms obtained during the expression cognition research will be adopted as hidden knowledge.
A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference
2009.01-2010.12, National 863 Project
In this work, we proposed and established a natural visible and infrared facial expression database, which contains both spontaneous and posed expressions of more than 100 subjects, recorded simultaneously by a visible and an infrared thermal camera, with illumination provided from three different directions. [USTC-NVIE Database]
Implicit Video Emotion Tagging from Audience's Facial Expressions
2012.01-2015.12, NSFC Project
In this work, a novel multiple emotional tagging method based on multi-expressions is proposed, in which, multi-expressions are recognized by exploring dependencies among expressions. In addition, we model the relationships between outer expressions and inner emotions using a Bayesian Network.
Eye Localization from Thermal Infrared Images
2009.01-2010.12,National 863 Project
By using the knowledge of facial structure and temperature distribution, in this work, we proposed an automatic eye localization method from long wave infrared thermal images both with eyeglasses and without eyeglasses.