4 citations · 6 across the 5 of their papers we have counts for
5 papers
SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation
John Yang, Hyung Jin Chang, Seungeui Lee +1
3D hand pose estimation based on RGB images has been studied for a long time. Most of the studies, however, have performed frame-by-frame estimation based on independent static ima…
Genetic-Gated Networks for Deep Reinforcement
Simyung Chang, John Yang, Jaeseok Choi +1
We introduce the Genetic-Gated Networks (G2Ns), simple neural networks that combine a gate vector composed of binary genetic genes in the hidden layer(s) of networks. Our method ca…
Towards Governing Agent's Efficacy: Action-Conditional -VAE for Deep Transparent Reinforcement Learning
John Yang, Gyujeong Lee, Minsung Hyun +2
We tackle the blackbox issue of deep neural networks in the settings of reinforcement learning (RL) where neural agents learn towards maximizing reward gains in an uncontrollable w…
Sym-parameterized Dynamic Inference for Mixed-Domain Image Translation
Simyung Chang, SeongUk Park, John Yang +1
Recent advances in image-to-image translation have led to some ways to generate multiple domain images through a single network. However, there is still a limit in creating an imag…
Broadcasting Convolutional Network for Visual Relational Reasoning
Simyung Chang, John Yang, Seonguk Park +1
In this paper, we propose the Broadcasting Convolutional Network (BCN) that extracts key object features from the global field of an entire input image and recognizes their relatio…