Search Results for author: Janghoon Ju

Found 5 papers, 1 papers with code

A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization

no code implementations4 Oct 2023 Kim Youwang, Lee Hyun, Kim Sung-Bin, Suekyeong Nam, Janghoon Ju, Tae-Hyun Oh

We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization.

3D Face Reconstruction

Conditional Temporal Neural Processes with Covariance Loss

1 code implementation ICML 2021 Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi

We introduce a novel loss function, Covariance Loss, which is conceptually equivalent to conditional neural processes and has a form of regularization so that is applicable to many kinds of neural networks.

Time Series Forecasting Traffic Prediction

Grouped Convolutional Neural Networks for Multivariate Time Series

no code implementations29 Mar 2017 Subin Yi, Janghoon Ju, Man-Ki Yoon, Jaesik Choi

In experiments with two real-world datasets, we demonstrate that our group CNNs outperform existing CNN based regression methods.

Anomaly Detection Clustering +2

Global Deconvolutional Networks for Semantic Segmentation

no code implementations12 Feb 2016 Vladimir Nekrasov, Janghoon Ju, Jaesik Choi

Semantic image segmentation is a principal problem in computer vision, where the aim is to correctly classify each individual pixel of an image into a semantic label.

Autonomous Driving Image Classification +4

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