Search Results for author: Se-Ho Kim

Found 3 papers, 2 papers with code

DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection

no code implementations25 Oct 2023 Se-Ho Kim, Inyong Koo, Inyoung Lee, Byeongjun Park, Changick Kim

During training, DiffRef3D gradually adds noise to the residuals between proposals and target objects, then applies the noisy residuals to proposals to generate hypotheses.

3D Object Detection Denoising +2

PG-RCNN: Semantic Surface Point Generation for 3D Object Detection

1 code implementation ICCV 2023 Inyong Koo, Inyoung Lee, Se-Ho Kim, Hee-Seon Kim, Woo-jin Jeon, Changick Kim

Motivated by this, we propose Point Generation R-CNN (PG-RCNN), a novel end-to-end detector that generates semantic surface points of foreground objects for accurate detection.

3D Object Detection object-detection +1

SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

1 code implementation14 Nov 2019 Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim

Intelligent agents need to understand the surrounding environment to provide meaningful services to or interact intelligently with humans.

Instance Segmentation Object +5

Cannot find the paper you are looking for? You can Submit a new open access paper.