Detecting human-object interactions (HOIs) is a challenging problem in
c...
Deep learning models have demonstrated remarkable success in object
dete...
Deep neural network (DNN) pruning has become a de facto component for
de...
Pedestrian safety is one primary concern in autonomous driving. The
unde...
In this paper, we investigate the two most popular families of deep neur...
Background and aim: Hip fracture can be devastating. The proximal femora...
Visual detection is a key task in autonomous driving, and it serves as o...
In recent years, knowledge distillation (KD) has been widely used as an
...
Training an accurate object detector is expensive and time-consuming. On...
Most of today's popular deep architectures are hand-engineered for gener...
Unsupervised domain adaptation (UDA) is an emerging research topic in th...
Domain adaptation (DA) is an emerging research topic in the field of mac...
Although deep nets have resulted in high accuracies for various visual t...
In human face-based biometrics, gender classification and age estimation...
Human age estimation has attracted increasing researches due to its wide...