3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Separating Boundary Points via Structural Regularization for Very Compact Clusters
Xin Ma, Won Hwa Kim
Clustering algorithms have significantly improved along with Deep Neural Networks which provide effective representation of data. Existing methods are built upon deep autoencoder a…
cs.CV2020★ 3 cited
Online Graph Completion: Multivariate Signal Recovery in Computer Vision
Won Hwa Kim, Mona Jalal, Seongjae Hwang +2
The adoption of "human-in-the-loop" paradigms in computer vision and machine learning is leading to various applications where the actual data acquisition (e.g., human supervision)…
cs.CV2018
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging
Seong Jae Hwang, Zirui Tao, Won Hwa Kim +1
Generative models using neural network have opened a door to large-scale studies for various application domains, especially for studies that suffer from lack of real samples to ob…