5 papers
Aggregate-then-Calibrate for Human-centered Assessment with Theoretical Guarantees
Zejun Xie, Xintong Li, Guang Wang +1
Human-centered assessment tasks, which are essential for systematic decision-making, rely heavily on human judgment and typically lack verifiable ground truth. Existing approaches…
Any to Full: Prompting Depth Anything for Depth Completion in One Stage
Zhiyuan Zhou, Ruofeng Liu, Taichi Liu +4
Accurate, dense depth estimation is crucial for robotic perception, but commodity sensors often yield sparse or incomplete measurements due to hardware limitations. Existing RGBD-f…
MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation
Rongchao Xu, Lin Jiang, Dahai Yu +5
Human mobility data are essential for transportation optimization, urban planning, and resource allocation, yet real-world mobility data are costly to collect and difficult to shar…
Towards 3D Objectness Learning in an Open World
Taichi Liu, Zhenyu Wang, Ruofeng Liu +2
Recent advancements in 3D object detection and novel category detection have made significant progress, yet research on learning generalized 3D objectness remains insufficient. In…
Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion
Xinyue Feng, Shuxin Zhong, Jinquan Hang +6
Customer expansion, i.e., growing a business existing customer base by acquiring new customers, is critical for scaling operations and sustaining the long-term profitability of log…