3 accepted papers
Event Cameras offer appealing advantages, including power efficiency and ultra-low latency, driving forward advancements in edge applications. In order to leverage mature frame-based algorithms, most approaches typically compute dense, image-like representations from sparse, asynchronous events. How…
Look-up tables(LUTs)-based methods have recently shown enormous potential in image restoration tasks, which are capable of significantly accelerating the inference. However, the size of LUT exhibits exponential growth with the convolution kernel size, creating a storage bottleneck for its broader ap…
Point cloud registration is a process used in computer vision and robotics for aligning different partial scans via rigid transform prediction. Recently, several existing traditional and learning-based point cloud registration methods have demonstrated significant progress. However, certain methods