output
19932026
researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2016 · cs.CVShow all

5 papers · 2 filters

cs.CV2016★ 1 cited

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…

cs.CV2016★ 99 cited

Approaching the Computational Color Constancy as a Classification Problem through Deep Learning

Seoung Wug Oh, Seon Joo Kim

Computational color constancy refers to the problem of computing the illuminant color so that the images of a scene under varying illumination can be normalized to an image under t…

cs.CV2016

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…

cs.CV2016★ 56 cited

Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition

Cheng Yaw Low, Andrew Beng Jin Teoh, Cong Jie Ng

This paper devises a new means of filter diversification, dubbed multi-fold filter convolution (M-FFC), for face recognition. On the assumption that M-FFC receives single-scale Gab…

cs.CV2016★ 1 cited

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…