collaborators

5 papers

cs.CV2020

Visual Tracking by TridentAlign and Context Embedding

Janghoon Choi, Junseok Kwon, Kyoung Mu Lee

Recent advances in Siamese network-based visual tracking methods have enabled high performance on numerous tracking benchmarks. However, extensive scale variations of the target ob…

cs.LG2019

Adaptive Regularization via Residual Smoothing in Deep Learning Optimization

Junghee Cho, Junseok Kwon, Byung-Woo Hong

We present an adaptive regularization algorithm that can be effectively applied to the optimization problem in deep learning framework. Our regularization algorithm aims to take in…

cs.CV2019

Deep ensemble network with explicit complementary model for accuracy-balanced classification

Dohyun Kim, Kyeorye Lee, Jiyeon Kim +2

The average accuracy is one of major evaluation metrics for classification systems, while the accuracy deviation is another important performance metric used to evaluate various de…

cs.CV2019

LED2Net: Deep Illumination-aware Dehazing with Low-light and Detail Enhancement

Guisik Kim, Junseok Kwon

We present a novel dehazing and low-light enhancement method based on an illumination map that is accurately estimated by a convolutional neural network (CNN). In this paper, the i…

cs.CV2019

3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

Dong Wook Shu, Sung Woo Park, Junseok Kwon

In this paper, we propose a novel generative adversarial network (GAN) for 3D point clouds generation, which is called tree-GAN. To achieve state-of-the-art performance for multi-c…