b'Minhyeok Lee'

research

∙ 06/12/2023

On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models – A Perspective

Generative Language Models (GLMs) have the potential to significantly sh...

0 Minhyeok Lee, et al. ∙

research

∙ 06/05/2023

ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields

Generative Neural Radiance Fields (NeRFs) have demonstrated remarkable p...

0 Kanghyeok Ko, et al. ∙

research

∙ 05/24/2023

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion

Class-conditional image generation using generative adversarial networks...

0 Taesun Yeom, et al. ∙

research

∙ 05/20/2023

Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning

In this paper, we navigate the intricate domain of reviewer rewards in o...

0 Minhyeok Lee, et al. ∙

research

∙ 05/20/2023

GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Selecting the most suitable activation function is a critical factor in ...

0 Minhyeok Lee, et al. ∙

research

∙ 04/24/2023

Portfolio Optimization using Predictive Auxiliary Classifier Generative Adversarial Networks with Measuring Uncertainty

In financial engineering, portfolio optimization has been of consistent ...

0 Jiwook Kim, et al. ∙

research

∙ 03/17/2023

Adaptive Graph Convolution Module for Salient Object Detection

Salient object detection (SOD) is a task that involves identifying and s...

0 Yongwoo Lee, et al. ∙

research

∙ 03/15/2023

Guided Slot Attention for Unsupervised Video Object Segmentation

Unsupervised video object segmentation aims to segment the most prominen...

0 Minhyeok Lee, et al. ∙

research

∙ 03/08/2023

TSANET: Temporal and Scale Alignment for Unsupervised Video Object Segmentation

Unsupervised Video Object Segmentation (UVOS) refers to the challenging ...

0 Seunghoon Lee, et al. ∙

research

∙ 02/20/2023

Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection

Image reconstruction-based anomaly detection has recently been in the sp...

0 Chaewon Park, et al. ∙

research

∙ 01/03/2023

Class-Continuous Conditional Generative Neural Radiance Field

The 3D-aware image synthesis focuses on conserving spatial consistency b...

0 Jiwook Kim, et al. ∙

research

∙ 12/09/2022

Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition

Skeleton-based action recognition has attracted considerable attention d...

0 Jungho Lee, et al. ∙

research

∙ 11/22/2022

Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection

The camouflaged object detection (COD) task aims to find and segment obj...

0 Minhyeok Lee, et al. ∙

research

∙ 11/22/2022

Deblurred Neural Radiance Field with Physical Scene Priors

Neural Radiance Field(NeRF) has exhibited outstanding three-dimensional(...

0 Dogyoon Lee, et al. ∙

research

∙ 11/22/2022

Domain Alignment and Temporal Aggregation for Unsupervised Video Object Segmentation

Unsupervised video object segmentation aims at detecting and segmenting ...

0 Suhwan Cho, et al. ∙

research

∙ 09/08/2022

Unsupervised Video Object Segmentation via Prototype Memory Network

Unsupervised video object segmentation aims to segment a target object i...

0 Minhyeok Lee, et al. ∙

research

∙ 09/04/2022

Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation

Unsupervised video object segmentation (VOS) aims to detect the most sal...

0 Suhwan Cho, et al. ∙

research

∙ 09/04/2022

Pixel-Level Equalized Matching for Video Object Segmentation

Feature similarity matching, which transfers the information of the refe...

0 Suhwan Cho, et al. ∙

research

∙ 08/23/2022

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition

Graph convolutional networks (GCNs) are the most commonly used method fo...

0 Jungho Lee, et al. ∙

research

∙ 07/16/2022

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

RGB-D salient object detection (SOD) has been in the spotlight recently ...

0 Minhyeok Lee, et al. ∙

research

∙ 07/14/2022

Tackling Background Distraction in Video Object Segmentation

Semi-supervised video object segmentation (VOS) aims to densely track ce...

0 Suhwan Cho, et al. ∙

research

∙ 02/13/2022

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection

Recent anomaly detection algorithms have shown powerful performance by a...

0 Chaewon Park, et al. ∙

research

∙ 10/13/2021

Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss

UNet-based methods have shown outstanding performance in salient object ...

0 Chaewon Park, et al. ∙

research

∙ 06/16/2021

EdgeConv with Attention Module for Monocular Depth Estimation

Monocular depth estimation is an especially important task in robotics a...

0 Minhyeok Lee, et al. ∙

research

∙ 06/16/2021

FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation

Video anomaly detection has gained significant attention due to the incr...

0 Chaewon Park, et al. ∙

research

∙ 02/14/2021

Robust Lane Detection via Expanded Self Attention

The image-based lane detection algorithm is one of the key technologies ...

16 Minhyeok Lee, et al. ∙

research

∙ 02/03/2021

Regularization Strategy for Point Cloud via Rigidly Mixed Sample

Data augmentation is an effective regularization strategy to alleviate t...

0 Dogyoon Lee, et al. ∙

research

∙ 07/01/2020

Estimation with Uncertainty via Conditional Generative Adversarial Networks

Conventional predictive Artificial Neural Networks (ANNs) commonly emplo...

0 Minhyeok Lee, et al. ∙

research

∙ 05/19/2020

Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies

Despite its short history, Generative Adversarial Network (GAN) has been...

0 Minhyeok Lee, et al. ∙

research

∙ 04/09/2020

Score-Guided Generative Adversarial Networks

We propose a Generative Adversarial Network (GAN) that introduces an eva...

0 Minhyeok Lee, et al. ∙

research

∙ 08/02/2017

Controllable Generative Adversarial Network

Although it is recently introduced, in last few years, generative advers...

0 Minhyeok Lee, et al. ∙

Minhyeok Lee

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