Dr Wanqing Li (UOW) - Awards & Recognition

2024, Australia’s top researcher in Multimedia (among the 250 Australia’s Researchers in 250 areas), The Australian Special Report November 8, 2023
2023, World’s top 2% most-cited scientists in various disciplines research by Stanford University in October 2022
2023, Australia’s top researcher in Multimedia (among the 250 Australia’s Researchers in 250 areas), The Australian Special Report November 9, 2022
2022, World’s top 2% most-cited scientists in various disciplines research by Stanford University in October 2022
2022, Australia’s top researcher in Multimedia (among the 250 Australia’s Researchers in 250 areas), The Australian Special Report November 14, 2021
2021, World’s top 2% most-cited scientists in various disciplines research by Stanford University in November 2021
2019, Best Associate Editor for IEEE Transactions on Circuit and System for Video Technology
2019, Outstanding Area Chair 2019 IEEE International Conference on Multimedia and Expro
2018, Outstanding Service to Journal of Visual Communications and Image Representation, Elsevier, and its Community.
2017, Winner (1st place) in Large Scale 3D Human Activity Analysis Challenge in Depth Videos, in conjunction with 2017 IEEE International Conference on Multimedia and Expo
2017, 2nd place in Continuous Gesture Recognition, ChaLearn LAP Large-scale Continuous Gesture Recognition Challenges, in conjunction with 2017 International Conference on Computer Vision ICCV
2016, 2nd place in Isolated Gesture Recognition, ChaLearn LAP Large-scale Isolated Gesture Recognition Challenges, In conjunction with 2016 International Conference on Pattern Recognition
2016, 3rd place in Continuous Gesture Recognition, ChaLearn LAP Large-scale Continuous Gesture Recognition Challenges, In conjunction with 2016 International Conference on Pattern Recognition
2016 Engineers Australia’s Award for Engineering Education Engagement and 2016 ASCILITE Innovation Award
2015, Australian Pattern Recognition Society Best Paper Award, “Creating Simplified 3D models with high quality textures”, International Conference on Digital Image Computing: Techniques and Applications (DICTA)