9 citations · 14 across the 5 of their papers we have counts for
9 papers
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…
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…