no code implementations • 25 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.
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.
1 code implementation • 14 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.