6 citations · 12 across the 12 of their papers we have counts for
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cs.CV2023
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
ChuXin Wang, Wenfei Yang, Tianzhu Zhang
Semi-supervised 3D object detection from point cloud aims to train a detector with a small number of labeled data and a large number of unlabeled data. The core of existing methods…
cs.CV2023★ 1 cited
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes
Ziyang Song, Ruijie Zhu, Chuxin Wang +3
Self-supervised monocular depth estimation holds significant importance in the fields of autonomous driving and robotics. However, existing methods are typically trained and tested…
cs.CV2023
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence
Jiacheng Deng, Chuxin Wang, Jiahao Lu +4
Unsupervised point cloud shape correspondence aims to obtain dense point-to-point correspondences between point clouds without manually annotated pairs. However, humans and some an…