79 citations · 82 across the 5 of their papers we have counts for
5 papers
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
Doyeon Kim, Woonghyun Ka, Pyungwhan Ahn +3
Depth estimation from a single image is an important task that can be applied to various fields in computer vision, and has grown rapidly with the development of convolutional neur…
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
Doyeon Kim, Donggyu Joo, Junmo Kim
Advances in technology have led to the development of methods that can create desired visual multimedia. In particular, image generation using deep learning has been extensively st…
Continual Learning with Extended Kronecker-factored Approximate Curvature
Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo +1
We propose a quadratic penalty method for continual learning of neural networks that contain batch normalization (BN) layers. The Hessian of a loss function represents the curvatur…
Residual Continual Learning
Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong +1
We propose a novel continual learning method called Residual Continual Learning (ResCL). Our method can prevent the catastrophic forgetting phenomenon in sequential learning of mul…
Generating a Fusion Image: One's Identity and Another's Shape
Donggyu Joo, Doyeon Kim, Junmo Kim
Generating a novel image by manipulating two input images is an interesting research problem in the study of generative adversarial networks (GANs). We propose a new GAN-based netw…