49 citations · 184 across the 40 of their papers we have counts for
5 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…
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields
Seungryong Kim, Kihong Park, Kwanghoon Sohn +1
We present a method for jointly predicting a depth map and intrinsic images from single-image input. The two tasks are formulated in a synergistic manner through a joint conditiona…
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…