5 accepted papers
Data-driven techniques enable modeling of nonlinear continuum robots directly from input-output data without relying on physics-based modeling. Among these techniques, the Koopman method has been particularly successful as it enables the application of linear optimal control techniques such as model
Agents powered by large language models (LLMs) are increasingly adopted in the software industry, contributing code as collaborators or even autonomous developers. As their presence grows, it becomes important to assess the current boundaries of their coding abilities. Existing agentic coding benchm…
Speech enhancement (SE) improves degraded speech's quality, with generative models like flow matching gaining attention for their outstanding perceptual quality. However, the flow-based model requires multiple numbers of function evaluations (NFEs) to achieve stable and satisfactory performance, lea…
Visual localization, a vital component of many visual applications, has been tackled by scene coordinates regression (SCoRe) methods that leverage neural networks to predict scene coordinates, followed by a PnP algorithm to recover camera pose. However, these methods do not consider the relationship
As scene coordinate regression (SCoRe) methods become prevailing in the area of visual camera localization, the issue of repetitive or sparse texture scenes continues to be a concern. Specifically, they will suffer from performance degeneration due to ambiguous patterns caused by visual similarity.