31 citations · 40 across the 5 of their papers we have counts for
6 papers
Conditional Temporal Neural Processes with Covariance Loss
Boseon Yoo, Jiwoo Lee, Janghoon Ju +3
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…
MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset
Kim Sung-Bin, Lee Chae-Yeon, Gihun Son +4
Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to…
LaughTalk: Expressive 3D Talking Head Generation with Laughter
Kim Sung-Bin, Lee Hyun, Da Hye Hong +3
Laughter is a unique expression, essential to affirmative social interactions of humans. Although current 3D talking head generation methods produce convincing verbal articulations…
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
Kim Youwang, Lee Hyun, Kim Sung-Bin +3
We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization. Despite the huge progress in 3D face reconstruction methods, generat…
Grouped Convolutional Neural Networks for Multivariate Time Series
Subin Yi, Janghoon Ju, Man-Ki Yoon +1
Analyzing multivariate time series data is important for many applications such as automated control, fault diagnosis and anomaly detection. One of the key challenges is to learn l…
Global Deconvolutional Networks for Semantic Segmentation
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. Its widesprea…