49 citations · 166 across the 22 of their papers we have counts for
4 papers · 1 filter
Deeply Aggregated Alternating Minimization for Image Restoration
Youngjung Kim, Hyungjoo Jung, Dongbo Min +1
Regularization-based image restoration has remained an active research topic in computer vision and image processing. It often leverages a guidance signal captured in different fie…
DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation
Seungryong Kim, Dongbo Min, Bumsub Ham +2
Establishing dense correspondences between multiple images is a fundamental task in many applications. However, finding a reliable correspondence in multi-modal or multi-spectral i…
Efficient Splitting-based Method for Global Image Smoothing
Youngjung Kim, Dongbo Min, Bumsub Ham +1
Edge-preserving smoothing (EPS) can be formulated as minimizing an objective function that consists of data and prior terms. This global EPS approach shows better smoothing perform…
Deep Self-Convolutional Activations Descriptor for Dense Cross-Modal Correspondence
Seungryong Kim, Dongbo Min, Stephen Lin +1
We present a novel descriptor, called deep self-convolutional activations (DeSCA), designed for establishing dense correspondences between images taken under different imaging moda…