6 citations · 14 across the 9 of their papers we have counts for
8 papers · 1 filter
Coreset Selection for Object Detection
Hojun Lee, Suyoung Kim, Junhoo Lee +2
Coreset selection is a method for selecting a small, representative subset of an entire dataset. It has been primarily researched in image classification, assuming there is only on…
MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model
Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang +1
One of the major challenges in multi-person pose estimation is instance-aware keypoint estimation. Previous methods address this problem by leveraging an off-the-shelf detector, he…
End-to-End Multi-Object Detection with a Regularized Mixture Model
Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo +2
Recent end-to-end multi-object detectors simplify the inference pipeline by removing hand-crafted processes such as non-maximum suppression (NMS). However, during training, they st…
MatteFormer: Transformer-Based Image Matting via Prior-Tokens
GyuTae Park, SungJoon Son, JaeYoung Yoo +2
In this paper, we propose a transformer-based image matting model called MatteFormer, which takes full advantage of trimap information in the transformer block. Our method first in…
KL-Divergence-Based Region Proposal Network for Object Detection
Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi +1
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. Howe…
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image
Jaeyoung Yoo, Hojun Lee, Inseop Chung +2
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…
Vehicle Image Generation Going Well with The Surroundings
Jeesoo Kim, Jangho Kim, Jaeyoung Yoo +2
Since the generative neural networks have made a breakthrough in the image generation problem, lots of researches on their applications have been studied such as image restoration,…
Image Restoration by Estimating Frequency Distribution of Local Patches
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 compre…