Research group outing in 2020
University Town, NUS
The research team focuses on computer vision applications. Application domains include, Biometrics, (Face, Gait), Privacy and Security, AI, Image Synthesis and Deep Fakes.
Research Highlights
Biometrics/Privacy
The walking pattern of a person can be used as a behavioural biometric for person identification. In this work, we explore the real-world robustness and privacy concerns of IMU-Gait. More details here.
Vision/Biometrics
Tristique senectus et netus et malesuada. Sed viverra tellus in hac
habitasse platea
dictumst vestibulum rhoncus.
More details here.
Vision/Biometrics
Tristique senectus et netus et malesuada. Sed viverra tellus in hac
habitasse platea
dictumst vestibulum rhoncus.
More details here.
Publication Highlights
- Action Invariant IMU-Gait for Continuous Authentication, IJCB 2022 New
- Your tattletale gait privacy invasiveness of IMU gait data, IJCB 2020
- Towards Wider Adoption of Continuous Authentication on Mobile Devices, Securing Social Identity in Mobile Platforms, 2020
- Is Face Recognition Safe from Realizable Attacks?, IJCB 2020
Dataset Highlights
Biometrics/Privacy
The walking pattern of a person can be used as a behavioural biometric for person identification. In this work, we explore the real-world robustness and privacy concerns of IMU-Gait. More details here.
Vision/Biometrics
Tristique senectus et netus et malesuada. Sed viverra tellus in hac
habitasse platea
dictumst vestibulum rhoncus.
More details here.
Vision/Biometrics
Tristique senectus et netus et malesuada. Sed viverra tellus in hac
habitasse platea
dictumst vestibulum rhoncus.
More details here.