3 papers
cs.CV2023
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing
Kangcheng Liu
Existing state-of-the-art 3D point clouds understanding methods only perform well in a fully supervised manner. To the best of our knowledge, there exists no unified framework whic…
cs.CV2023
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors
Kangcheng Liu
Existing state-of-the-art 3D point cloud understanding methods merely perform well in a fully supervised manner. To the best of our knowledge, there exists no unified framework tha…
cs.CV2023
Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment
Kangcheng Liu, Yong-Jin Liu, Baoquan Chen
Deep neural network models have achieved remarkable progress in 3D scene understanding while trained in the closed-set setting and with full labels. However, the major bottleneck i…