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Zhaojie Ju
Researcher at University of Portsmouth
Publications - 203
Citations - 3411
Zhaojie Ju is an academic researcher from University of Portsmouth. The author has contributed to research in topics: Gesture recognition & Robot. The author has an hindex of 28, co-authored 191 publications receiving 2227 citations. Previous affiliations of Zhaojie Ju include Chinese Academy of Sciences & Wuhan University of Science and Technology.
Papers
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Attention mechanism-based CNN for facial expression recognition
TL;DR: A novel end-to-end network with attention mechanism for automatic facial expression recognition is proposed and LBP features and attention mechanism are combined to enhance the attention model to obtain better results.
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Zooming image based false matches elimination algorithms for robot navigation
TL;DR: Three improved false matches elimination algorithms based on distance from epipole to epipolar line is proposed and this algorithm can also solve the real-time calibration of the shrink-amplify center for zooming images.
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Gesture recognition based on binocular vision
Du Jiang,Zujia Zheng,Gongfa Li,Ying Sun,Jianyi Kong,Guozhang Jiang,Xiong Hegen,Bo Tao,Xu Shuang,Hui Yu,Honghai Liu,Zhaojie Ju +11 more
TL;DR: According to the cloud image information, it can be judged that the binocular vision system can effectively segment the gesture from the complex background.
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How to build a supervised autonomous system for robot-enhanced therapy for children with autism spectrum disorder
Pablo Gómez Esteban,Paul Baxter,Tony Belpaeme,Erik Billing,Haibin Cai,Hoang-Long Cao,Mark Coeckelbergh,Cristina Costescu,Daniel David,Albert De Beir,Yinfeng Fang,Zhaojie Ju,James Kennedy,Honghai Liu,Alexandre Mazel,Amit Kumar Pandey,Kathleen Richardson,Emmanuel Senft,Serge Thill,Greet Van de Perre,Bram Vanderborght,David Vernon,Hui Yu,Tom Ziemke +23 more
TL;DR: The clinical framework in which the developments are tested, alongside initial data obtained from patients in a first phase of the project using a WoZ set-up mimicking the targeted supervised-autonomy behaviour, are introduced.
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Human Hand Motion Analysis With Multisensory Information
Zhaojie Ju,Honghai Liu +1 more
TL;DR: The proposed framework integrating the state-of-the-art sensor technology with the developed algorithms provides researchers a versatile and adaptable platform for human hand motion analysis and has potential applications especially in robotic hand or prosthetic hand control and human-computer interaction.