133 citations · 342 across the 19 of their papers we have counts for
19 papers
Equilibrium contrastive learning for imbalanced image classification
Sumin Roh, Harim Kim, Ho Yun Lee +1
Contrastive learning (CL) is a predominant technique in image classification, but they showed limited performance with an imbalanced dataset. Recently, several supervised CL method…
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation
Hye Bin Yoo, Hyun Min Han, Sung Soo Hwang +1
Neural radiance field (NeRF) is an emerging view synthesis method that samples points in a three-dimensional (3D) space and estimates their existence and color probabilities. The d…
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging
Il Yong Chun, Dongwon Park, Xuehang Zheng +2
Regression that predicts continuous quantity is a central part of applications using computational imaging and computer vision technologies. Yet, studying and understanding self-su…
Accelerated MRI With Deep Linear Convolutional Transform Learning
Hongyi Gu, Burhaneddin Yaman, Steen Moeller +2
Recent studies show that deep learning (DL) based MRI reconstruction outperforms conventional methods, such as parallel imaging and compressed sensing (CS), in multiple application…
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames
Jinkyu Lee, Muhyun Back, Sung Soo Hwang +1
Monocular simultaneous localization and mapping (SLAM) is emerging in advanced driver assistance systems and autonomous driving, because a single camera is cheap and easy to instal…
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
Muhyun Back, Jinkyu Lee, Kyuho Bae +2
In advanced driver assistant systems and autonomous driving, it is crucial to estimate distances between an ego vehicle and target vehicles. Existing inter-vehicle distance estimat…