Automatic radiology reporting has great clinical potential to relieve radiologists from heavy
workloads and improve diagnosis interpretation. Recently, researchers have enhanced data …

When dealing with complex thermal infrared (TIR) tracking scenarios, the single category
feature is not sufficient to portray the appearance of the target, which drastically affects the …

Learning effective representations from unlabeled data is a challenging task for point cloud
understanding. As the human visual system can map concepts learned from 2D images to …

Smart environments offer various services, including smart cities, ehealthcare,
transportation, and wearable devices, generating multiple traffic flows with different Quality …

Nowadays, trust management plays a significant role in different applications like
commercial applications, Internet of Things (IoT) based applications, social networking …

Predicting the future trajectories of dynamic traffic actors is the Gordian knot for autonomous
vehicles to achieve collision-free driving. Most existing works suffer from a gap in …

Unsupervised machine translation (UMT) has recently attracted more attention from
researchers, enabling models to translate when languages lack parallel corpora. However …

Image-text retrieval is a central problem for understanding the semantic relationship
between vision and language, and serves as the basis for various visual and language …

In the field of AGV, a path planning algorithm is always a heated area. However, traditional
path planning algorithms have many disadvantages. To solve these problems, this paper …

We introduce a wearable single-eye emotion recognition device and a real-time approach to
recognizing emotions from partial observations of an emotion that is robust to changes in …