1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
TDG: Text-guided Domain Generalization
Geng Liu, Yuxi Wang
Domain generalization (DG) attempts to generalize a model trained on single or multiple source domains to the unseen target domain. Benefiting from the success of Visual-and-Langua…
cs.CV2023★ 1 cited
Semi-Weakly Supervised Object Kinematic Motion Prediction
Gengxin Liu, Qian Sun, Haibin Huang +5
Given a 3D object, kinematic motion prediction aims to identify the mobile parts as well as the corresponding motion parameters. Due to the large variations in both topological str…
cs.CV2022
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation
Gengxin Liu, Oliver van Kaick, Hui Huang +1
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…