Despite its great success, machine learning can have its limits when dealing with insufficient
training data. A potential solution is the additional integration of prior knowledge into the …

Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …

To understand a scene in depth not only involves locating/recognizing individual objects, but
also requires to infer the relationships and interactions among them. However, since the …

There is a dilemma regarding the accuracy and reality of vehicle trajectory prediction.
Balancing and predicting the effective trajectory is a topic of debate in autonomous driving …

Recently, with the ever-growing action categories, zero-shot action recognition (ZSAR) has
been achieved by automatically mining the underlying concepts (eg, actions, attributes) in …

Multilingual knowledge graph (KG) embeddings provide latent semantic representations of
entities and structured knowledge with cross-lingual inferences, which benefit various …

In spite of recent success of proposal-based CNN models for object detection, it is still
difficult to detect small objects due to the limited and distorted information that small region …

Automatically detecting surface defects from images is an essential capability in
manufacturing applications. Traditional image processing techniques are useful in solving a …

Abstract Visual Question Answering (VQA) has emerged as an important problem spanning
Computer Vision, Natural Language Processing and Artificial Intelligence (AI). In …

Many large-scale knowledge bases simultaneously represent two views of knowledge
graphs (KGs): an ontology view for abstract and commonsense concepts, and an instance …