Abstract Machine learning (ML) plays the core function to intellectualize the transportation
systems. Recent years have witnessed the advent and prevalence of deep learning which …

As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

In this paper, we propose a simple unsupervised graph representation learning method to
conduct effective and efficient contrastive learning. Specifically, the proposed multiplet loss …

Multi-view clustering can explore common semantics from multiple views and has attracted
increasing attention. However, existing works punish multiple objectives in the same feature …

Video captioning refers to automatic generate natural language sentences, which
summarize the video contents. Inspired by the visual attention mechanism of human beings …

The task of image-text matching refers to measuring the visual-semantic similarity between
an image and a sentence. Recently, the fine-grained matching methods that explore the …

Recent progress has been made in using attention based encoder-decoder framework for
image and video captioning. Most existing decoders apply the attention mechanism to every …

Multi-view clustering can partition data samples into their categories by learning a
consensus representation in unsupervised way and has received more and more attention …