Search Results for author: Chen-Hsuan Tai

Found 2 papers, 2 papers with code

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

1 code implementation NeurIPS 2023 Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

Semi-supervised object detection is crucial for 3D scene understanding, efficiently addressing the limitation of acquiring large-scale 3D bounding box annotations.

3D Object Detection Denoising +5

Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection

1 code implementation19 Dec 2022 Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang

In this work, we propose an object-level point augmentor (OPA) that performs local transformations for semi-supervised 3D object detection.

3D Object Detection Knowledge Distillation +4

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