49 citations · 71 across the 9 of their papers we have counts for
11 papers
Few-shot Neural Radiance Fields Under Unconstrained Illumination
SeokYeong Lee, JunYong Choi, Seungryong Kim +2
In this paper, we introduce a new challenge for synthesizing novel view images in practical environments with limited input multi-view images and varying lighting conditions. Neura…
Learning Canonical 3D Object Representation for Fine-Grained Recognition
Sunghun Joung, Seungryong Kim, Minsu Kim +2
We propose a novel framework for fine-grained object recognition that learns to recover object variation in 3D space from a single image, trained on an image collection without usi…
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
Yeji Choi, Hyunjung Park, Gi Pyo Nam +4
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data. The K-FACE…
A 3D model-based approach for fitting masks to faces in the wild
Je Hyeong Hong, Hanjo Kim, Minsoo Kim +4
Face recognition now requires a large number of labelled masked face images in the era of this unprecedented COVID-19 pandemic. Unfortunately, the rapid spread of the virus has lef…
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…
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…
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…
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…
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…
The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix
Žiga Emeršič, Aruna Kumar S. V., B. S. Harish +28
This paper presents a summary of the 2019 Unconstrained Ear Recognition Challenge (UERC), the second in a series of group benchmarking efforts centered around the problem of person…
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes
Sk. Arif Ahmed, Debi Prosad Dogra, Heeseung Choi +2
Typical person re-identification frameworks search for k best matches in a gallery of images that are often collected in varying conditions. The gallery may contain image sequences…