5 accepted papers
Industrial quality inspection plays a critical role in modern manufacturing by identifying defective products during production. While single-modality approaches using either 3D point clouds or 2D RGB images suffer from information incompleteness, multimodal anomaly detection offers promise through…
Stock portfolio selection is an important financial planning task that dynamically re-allocates the investments to stock assets to achieve the goals such as maximal profits and minimal risks. In this paper, we propose a hypergraph-based reinforcement learning method for stock portfolio selection, in…
We tackle the problem of place recognition from point cloud data and introduce a self-attention and orientation encoding network (SOE-Net) that fully explores the relationship between points and incorporates long-range context into point-wise local descriptors. Local information of each point from e…
For relocalization in large-scale point clouds, we propose the first approach that unifies global place recognition and local 6DoF pose refinement. To this end, we design a Siamese network that jointly learns 3D local feature detection and description directly from raw 3D points. It integrates FlexC…
Solar conversion efficiency is one of the most important quality metrics in solar cell production. During the production process, many operating factors might potentially influence the process conditions, thereby leading to unstable solar conversion efficiency of solar cell products. However, most s