86 citations · 685 across the 67 of their papers we have counts for
8 papers · 2 filters
C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation
Hyojin Park, Youngjoon Yoo, Geonseok Seo +3
One of the practical choices for making a lightweight semantic segmentation model is to combine a depth-wise separable convolution with a dilated convolution. However, the simple c…
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…
Motion Feature Network: Fixed Motion Filter for Action Recognition
Myunggi Lee, Seungeui Lee, Sungjoon Son +2
Spatio-temporal representations in frame sequences play an important role in the task of action recognition. Previously, a method of using optical flow as a temporal information in…
Vehicle Image Generation Going Well with The Surroundings
Jeesoo Kim, Jangho Kim, Jaeyoung Yoo +2
Since the generative neural networks have made a breakthrough in the image generation problem, lots of researches on their applications have been studied such as image restoration,…
Image Restoration by Estimating Frequency Distribution of Local Patches
Jaeyoung Yoo, Sang-ho Lee, Nojun Kwak
In this paper, we propose a method to solve the image restoration problem, which tries to restore the details of a corrupted image, especially due to the loss caused by JPEG compre…
3D Human Pose Estimation with Relational Networks
Sungheon Park, Nojun Kwak
In this paper, we propose a novel 3D human pose estimation algorithm from a single image based on neural networks. We adopted the structure of the relational networks in order to c…
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
Hyojin Park, YoungJoon Yoo, Nojun Kwak
In this paper, we introduce a new method for generating an object image from text attributes on a desired location, when the base image is given. One step further to the existing s…
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim, SeongUk Park, Nojun Kwak
Many researchers have sought ways of model compression to reduce the size of a deep neural network (DNN) with minimal performance degradation in order to use DNNs in embedded syste…