4 accepted papers
Code complexity metrics such as cyclomatic complexity have long been used to assess software quality and maintainability. With the rapid advancement of large language models (LLMs) on code understanding and generation tasks, an important yet underexplored question arises: do these traditional comple…
Text-to-motion generation, which converts motion language descriptions into coherent 3D human motion sequences, has attracted increasing attention in fields, such as avatar animation and humanoid robotic interaction. Though existing models have achieved significant fidelity, they still suffer from t…
17-point algorithm is a popular method in relative pose estimation of multi-cameras. However, the role of overlap in 17-point algorithm remains unexplored. And the relaxed way in solving constrained normal equation leads to sub-optimal results. Both of them influence accuracy of the estimated pose.…
Efficient interest point detection and description in images play a crucial role in many tasks such as multi-robot SLAM and collaborative localization. To facilitate fast detection and generate compact descriptions on edge devices, we introduce EdgePoint, a lightweight neural network. We design a ne…