Geonseok Seo — accepted AI-conference papers

2024

Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization

Insoo Kim, Jae Seok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee

CVPR 2024poster

As recent advances in mobile camera technology have enabled the capability to capture high-resolution images such as 4K images the demand for an efficient deblurring model handling large motion has increased. In this paper we discover that the image residual errors i.e. blur-sharp pixel differences…

Cited by 5 Source ↗PDF ↗Scholar ↗

2021

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image

Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak

ICCV 2021poster

In multi-object detection using neural networks, the fundamental problem is, "How should the network learn a variable number of bounding boxes in different input images?". Previous methods train a multi-object detection network through a procedure that directly assigns the ground truth bounding boxe…

Cited by 6 PDF ↗code ↗Scholar ↗