3 papers
cs.CL2023
Unsupervised Deep Cross-Language Entity Alignment
Chuanyu Jiang, Yiming Qian, Lijun Chen +2
Cross-lingual entity alignment is the task of finding the same semantic entities from different language knowledge graphs. In this paper, we propose a simple and novel unsupervised…
cs.CV2023
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
Ahmed Hatem, Yiming Qian, Yang Wang
Affordable 3D scanners often produce sparse and non-uniform point clouds that negatively impact downstream applications in robotic systems. While existing point cloud upsampling ar…
cs.CV2023
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning
Ahmed Hatem, Yiming Qian, Yang Wang
We present Point-TTA, a novel test-time adaptation framework for point cloud registration (PCR) that improves the generalization and the performance of registration models. While l…