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 • 7 Dec 2022 • Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim
This paper presents a solution to the Weather4cast 2022 Challenge Stage 2.