Skeleton-based action recognition has recently made significant progress...
Occlusion is a common problem with biometric recognition in the wild. Th...
Teacher-student interaction (TSI) is essential for learning efficiency a...
With recent advances in natural language processing, rationalization bec...
Reconstructing hand-held objects from monocular RGB images is an appeali...
High-precision vehicle localization with commercial setups is a crucial
...
Iris biometrics is a phenotypic biometric trait that has proven to be
ag...
Occupancy maps are widely recognized as an efficient method for facilita...
Generative AI models have shown impressive ability to produce images wit...
Deep learning-based face recognition models are vulnerable to adversaria...
In the past decade, with the development of big data technology, an
incr...
Detection And Tracking of Moving Objects (DATMO) is an essential compone...
Attributes skew hinders the current federated learning (FL) frameworks f...
Deep learning-based person Re-IDentification (ReID) often requires a lar...
The accelerating development of autonomous driving technology has placed...
Self-tracking can improve people's awareness of their unhealthy behavior...
Feedback can help crowdworkers to improve their ideations. However, curr...
Person re-identification (Re-ID) aims to match pedestrians under dis-joi...
For distant iris recognition, a long focal length lens is generally used...
Face recognition is a popular and well-studied area with wide applicatio...
The training loss function that enforces certain training sample distrib...
Re-identification (ReID) is to identify the same instance across differe...
Crowdsourcing can collect many diverse ideas by prompting ideators
indiv...
Matrix factorization (MF) plays an important role in a wide range of mac...
Imaging volume of an iris recognition system has been restricting the
th...
A large portion of iris images captured in real world scenarios are poor...
Unhealthy lifestyles largely contribute to many chronic diseases, which ...
Prolonged sedentary behavior is related to a number of risk factors for
...
Federated learning opens a number of research opportunities due to its h...
Iris recognition is a reliable personal identification method but there ...
The generalization ability of Convolutional neural networks (CNNs) for
b...
Addressing students by their names helps a teacher to start building rap...
The online meta-learning framework is designed for the continual lifelon...
Automatic representation learning of key entities in electronic health r...
Models have been proposed to extract temporal patterns from longitudinal...
Many computational models were proposed to extract temporal patterns fro...
Rare diseases affecting 350 million individuals are commonly associated ...
The augmented-reality head-mounted display (e.g., Microsoft HoloLens) is...
Poor lifestyle represents a health risk factor and is the leading cause ...
The rapid growth in mobile healthcare technology could significantly hel...
Unhealthy lifestyles could cause many chronic diseases, which bring pati...
Pharmaceutical targeting is one of key inputs for making sales and marke...
Rare diseases affect a relatively small number of people, which limits
i...
Digital health interventions have been emerging in the last decade. Due ...
Extracting significant places or places of interest (POIs) using individ...
Increasing evidence has shown that theory-based health behavior change
i...
Prolonged sedentary behavior is prevalent among office workers and has b...
In rare disease physician targeting, a major challenge is how to identif...