3 accepted papers
Vision-language models heavily rely on visual representations, yet ensuring its efficiency remains a critical challenge. Most existing approaches focus on reducing visual tokens either at the visual encoder phase or during the LLM decoder stage. Inspired by human visual cognition, where an initial g…
Video snow removal is an important task in computer vision, as the snowflakes in videos reduce visibility and negatively affect the performance of outdoor visual systems. However, due to the complexity of real snowy scenarios, it is difficult to apply existing supervised learning-based methods to pr…
This paper presents an integrated methodology and experimental validation of an autonomous framework for unmanned underwater vehicles (UUVs) merely equipped with a conventional monocular camera and a pressure sensor to accomplish high-performance autonomy. Optimal pose of the UUV is solved iterative…