4 accepted papers
Human motion prediction is a fundamental task in human-robot interaction and self-driving. Many existing human motion prediction methods use one encoder to embed the historical human poses and one decoder to predict future motion poses. We believe that it is possible to estimate the deviation of the…
Synthetic data has recently proven effective in enhancing the accuracy of Text-to-SQL parsers. However, existing methods generate SQL queries first by randomly sampling tables and columns based on probability and then synthesize natural language questions (NLQs). This approach often produces a large…
Class imbalance in graph data presents a significant challenge for effective node classification, particularly in semi-supervised scenarios. In this work, we formally introduce the concept of geometric imbalance, which captures how message passing on class-imbalanced graphs leads to geometric ambigu…
In this letter, a novel dual-ball self-balancing robot is proposed for the first time. Different from the operating principle of the traditional single-ball self-balancing robot, the dual-ball robot can achieve flexible variable-axis rotations though the differential motions of the two balls, and ov