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20192023
most citedRelational Deep Feature Learning for Heterogeneous Face Recognition

49 citations · 71 across the 9 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 cited

Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation

Minsu Kim, Sunghun Joung, Seungryong Kim +3

Existing techniques to adapt semantic segmentation networks across the source and target domains within deep convolutional neural networks (CNNs) deal with all the samples from the…

cs.CV2020★ 9 cited

ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications

Hochul Hwang, Cheongjae Jang, Geonwoo Park +2

To train deep learning models for vision-based action recognition of elders' daily activities, we need large-scale activity datasets acquired under various daily living environment…

cs.CV2020

SumGraph: Video Summarization via Recursive Graph Modeling

Jungin Park, Jiyoung Lee, Ig-Jae Kim +1

The goal of video summarization is to select keyframes that are visually diverse and can represent a whole story of an input video. State-of-the-art approaches for video summarizat…

cs.CV2020

Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation

Sunghun Joung, Seungryong Kim, Hanjae Kim +4

Existing techniques to encode spatial invariance within deep convolutional neural networks only model 2D transformation fields. This does not account for the fact that objects in a…

cs.CV2020★ 49 cited

Relational Deep Feature Learning for Heterogeneous Face Recognition

MyeongAh Cho, Taeoh Kim, Ig-Jae Kim +2

Heterogeneous Face Recognition (HFR) is a task that matches faces across two different domains such as visible light (VIS), near-infrared (NIR), or the sketch domain. Due to the la…