State-of-the-art methods for 3D hand pose estimation from depth images require large
amounts of annotated training data. We propose modelling the statistical relationship of 3D …

Age estimation at a distance has potential applications including visual surveillance and
monitoring in public places. Far from the camera, image resolution is significantly degraded …

When exploring the temporal and spatial change law of ocean environment, the most
common method used is using smaller-scale observed data to derive the change law for a …

View-based 3D object retrieval, in which multiple views are used for representation and
retrieval, has attracted increasing attention due to its great flexibility. In this paper, we …

As a critical part of the 3D human pose estimation (HPE), establishing the 2D-to-3D lifting
mapping is limited by depth ambiguity. Most current works generally lack the quantitative …

Positive and Unlabeled (PU) learning has attracted intensive research interests in recent
years, which is capable of training a binary classifier solely based on positive and unlabeled …

Detection of human activities along with the associated context is of key importance for
various application areas, including assisted living and well-being. To predict a user's …

Urban imagery usually serves as forensic analysis and by design is available for incident
mitigation. As more imagery collected, it is harder to narrow down to certain frames among …

Parkinson's Disease (PD) is a neurodegenerative disorder that causes movement and
behavioral problems. Pharmacological advancements for preventing disease progression …

The rapid, accurate, and robust computation of virtual human figures'” in-between” pose
transitions from available and sometimes sparse inputs is of fundamental significance to 3D …