232 citations · 278 across the 15 of their papers we have counts for
4 papers · 1 filter
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
Geonmo Gu, Seong Tae Kim, Kihyun Kim +2
In face-related applications with a public available dataset, synthesizing non-linear facial variations (e.g., facial expression, head-pose, illumination, etc.) through a generativ…
Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?
Seong Tae Kim, Yong Man Ro
Human face analysis is an important task in computer vision. According to cognitive-psychological studies, facial dynamics could provide crucial cues for face analysis. The motion…
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN
Tae Kwan Lee, Wissam J. Baddar, Seong Tae Kim +1
In convolutional neural networks (CNNs), the filter grouping in convolution layers is known to be useful to reduce the network parameter size. In this paper, we propose a new logar…
EvaluationNet: Can Human Skill be Evaluated by Deep Networks?
Seong Tae Kim, Yong Man Ro
With the recent substantial growth of media such as YouTube, a considerable number of instructional videos covering a wide variety of tasks are available online. Therefore, online…