4 accepted papers
Multimodal clustering (MMC) focuses on learning consistent representations through fusing discriminative features from each modality in an unsupervised fashion. Recently, information bottleneck-based MMC methods transform the representation learning into a non-redundant multimodal feature puzzle pro
Pre-trained language models (PLMs) have shown strong potential in Ethereum account modeling and fraud detection. However, existing approaches often overlook the graph-structured nature of transaction networks. In addition, they struggle with the long-tail distribution of account activity, resulting
Accurate and reliable online real-time localization and mapping are crucial for autonomous navigation of robot. Dynamic objects within the perception field can affect the accuracy of registration and localization, and also introduce ghost trail artifacts in the map, hindering robot planning and deci
In this letter, we propose TC<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>LI-SLAM, a novel and tightly-coupled camera-LiDAR-inertial SLAM system with a separated front end and a