Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …

Visual private information leakage is an emerging key issue for the fast growing applications
of video understanding like activity recognition. Existing approaches for mitigating privacy …

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 …

The degradation in image resolution harms the performance of medical image diagnosis. By
inferring high-frequency details from low-resolution (LR) images, super-resolution (SR) …

Effective and safe surgery results from a complex sociotechnical process prone to human
error. Acquiring large amount of data on surgical care and modelling the process of surgery …

Abstract 3D human pose estimation is a key component of clinical monitoring systems. The
clinical applicability of deep pose estimation models, however, is limited by their poor …

Existing methods of privacy-preserving action recognition (PPAR) mainly focus on frame-
level (spatial) privacy removal through 2D CNNs. Unfortunately, they have two major …

The widespread use of smart computer vision systems in our personal spaces has led to an
increased consciousness about the privacy and security risks that these systems pose. On …

The growing practice of outsourcing captured photos to the cloud has provided users with
convenience while also raising privacy concerns. Traditional image encryption techniques …