4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 4 cited
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin +2
Semi-supervised object detection is crucial for 3D scene understanding, efficiently addressing the limitation of acquiring large-scale 3D bounding box annotations. Existing methods…
cs.CV2022
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai +2
Semi-supervised object detection is important for 3D scene understanding because obtaining large-scale 3D bounding box annotations on point clouds is time-consuming and labor-inten…