Search Results for author: Gengxin Liu

Found 2 papers, 0 papers with code

Semi-Weakly Supervised Object Kinematic Motion Prediction

no code implementations CVPR 2023 Gengxin Liu, Qian Sun, Haibin Huang, Chongyang Ma, Yulan Guo, Li Yi, Hui Huang, Ruizhen Hu

First, although 3D dataset with fully annotated motion labels is limited, there are existing datasets and methods for object part semantic segmentation at large scale.

motion prediction Object +3

Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation

no code implementations15 Sep 2022 Gengxin Liu, Oliver van Kaick, Hui Huang, Ruizhen Hu

Since the preparation of labeled data for training semantic segmentation networks of point clouds is a time-consuming process, weakly supervised approaches have been introduced to learn from only a small fraction of data.

Active Learning Scene Segmentation +2

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