Search Results for author: Jaeyoung Yoo

Found 5 papers, 1 papers with code

KL-Divergence-Based Region Proposal Network for Object Detection

no code implementations22 May 2020 Geonseok Seo, Jaeyoung Yoo, Jae-Seok Choi, Nojun Kwak

The learning of the region proposal in object detection using the deep neural networks (DNN) is divided into two tasks: binary classification and bounding box regression task.

Object Detection Region Proposal

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

3 code implementations ICCV 2021 Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak

Instead of assigning each ground truth to specific locations of network's output, we train a network by estimating the probability density of bounding boxes in an input image using a mixture model.

Density Estimation Real-Time Object Detection

Unpriortized Autoencoder For Image Generation

no code implementations12 Feb 2019 Jaeyoung Yoo, Hojun Lee, Nojun Kwak

In this paper, we treat the image generation task using an autoencoder, a representative latent model.

Density Estimation Image Generation +1

Vehicle Image Generation Going Well with The Surroundings

no code implementations9 Jul 2018 Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak

Using a subnetwork based on a precedent work of image completion, our model makes the shape of an object.

Colorization Image Generation +4

Image Restoration by Estimating Frequency Distribution of Local Patches

no code implementations CVPR 2018 Jaeyoung Yoo, Sang-ho Lee, Nojun Kwak

In this paper, we propose a method to solve the image restoration problem, which tries to restore the details of a corrupted image, especially due to the loss caused by JPEG compression.

General Classification Image Compression +1

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