3 accepted papers
In the field of robotic manipulation, traditional methods lack the flexibility required to meet the demands of diverse applications. Consequently, researchers have increasingly focused on developing more general techniques, particularly for long-horizon and gentle manipulation, to enhance the manipu
Point-based simultaneous localization and mapping (SLAM) algorithms tend to degrade in texture-less indoor environments. Considering the pervasive presence and structural regularity of line features in artificial scenes, many researchers have developed line-based SLAM systems incorporating structura
With the growing popularity of deep-learning models, model understanding becomes more important. Much effort has been devoted to demystify deep neural networks for better explainability. Some feature attribution methods have shown promising results in computer vision, especially the gradient-based m…