5 accepted papers
In recent years, recommendation systems have evolved from providing a single list of recommendations to offering a comprehensive suite of topic-focused services. To better accomplish this task, conversational recommendation systems (CRS) have progressed from basic retrieval-augmented LLM generation
Cross-sensory interaction is a key aspect for multisensory recognition. Without cross-sensory interaction, artificial neural networks show inferior performance in multisensory recognition. On the contrary, the human brain has an inherently remarkable ability in multisensory recognition, which stems…
The excellent swimming ability of fish provides a new solution for the design of underwater propellers. However, there is a lack of optimization schemes for the structure and performance of the continuum driving fish-like propeller. This letter introduces, for the first time, a continuum driving fis
Target tracking for underwater robots is always challenging, due to low-quality sensing information, information interference, and environmental disturbances. Traditional sensing methods for underwater target tracking include vision-based tracking, acoustic-based tracking, etc., but most of the adop
A novel siamese autoencoder visual odometry system named SAEVO is proposed in this paper. SAEVO can jointly estimate the 6-DoF pose and the depth using deep neural networks trained with monocular clips only. The main idea of the proposed method is an unsupervised deep learning scheme that combines s…