Computer Vision

PrivHAR: Recognizing Human Actions from Privacy-preserving Lens

ECCV 2022 Oral. An optical lens and adversarial training framework that recognize human actions while protecting privacy.

Learning Privacy-preserving Optics for Human Pose Estimation.

The widespread use of always-connected digital cameras in our everyday life has led to increasing concerns about the users privacy and security. How to develop privacy-preserving computer vision systems? In particular, we want to prevent the camera …

Learning Privacy-preserving Optics for Human Pose Estimation

In this project, we design the camera lens to perform human pose estimation while preserving users’ privacy.