b'Junmo Kim'

research

∙ 09/05/2023

NICE 2023 Zero-shot Image Captioning Challenge

In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...

0 Taehoon Kim, et al. ∙

research

∙ 08/19/2023

Disposable Transfer Learning for Selective Source Task Unlearning

Transfer learning is widely used for training deep neural networks (DNN)...

0 Seunghee Koh, et al. ∙

research

∙ 08/05/2023

Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models

This work focuses on the problem of reconstructing a 3D human body mesh ...

0 Hanbyel Cho, et al. ∙

research

∙ 07/20/2023

Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

Recent advances in deep learning have significantly improved the perform...

0 Hyungmin Kim, et al. ∙

research

∙ 07/18/2023

DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation

Mixed sample data augmentation (MSDA) is a widely used technique that ha...

0 Haeil Lee, et al. ∙

research

∙ 07/02/2023

Deep Cross-Modal Steganography Using Neural Representations

Steganography is the process of embedding secret data into another messa...

0 Gyojin Han, et al. ∙

research

∙ 06/30/2023

Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view

From an image of a person, we can easily infer the natural 3D pose and s...

0 Hanbyel Cho, et al. ∙

research

∙ 06/09/2023

Lightweight Monocular Depth Estimation via Token-Sharing Transformer

Depth estimation is an important task in various robotics systems and ap...

0 Dong-Jae Lee, et al. ∙

research

∙ 05/30/2023

Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization

Portrait stylization, which translates a real human face image into an a...

0 Doyeon Kim, et al. ∙

research

∙ 05/03/2023

Localization using Multi-Focal Spatial Attention for Masked Face Recognition

Since the beginning of world-wide COVID-19 pandemic, facial masks have b...

0 Yooshin Cho, et al. ∙

research

∙ 04/10/2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks

Model inversion attacks are a type of privacy attack that reconstructs p...

0 Gyojin Han, et al. ∙

research

∙ 01/16/2023

I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images

Light field (LF) camera captures rich information from a scene. Using th...

0 Jiwan Hur, et al. ∙

research

∙ 12/01/2022

Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning

As the size of the dataset used in deep learning tasks increases, the no...

0 Hansang Lee, et al. ∙

research

∙ 12/01/2022

Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification

Uncertainty estimation of the trained deep learning network provides imp...

0 Hansang Lee, et al. ∙

research

∙ 11/29/2022

Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning

Generally, regularization-based continual learning models limit access t...

0 Gyojin Han, et al. ∙

research

∙ 11/20/2022

AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation

We present a novel adversarial penalized self-knowledge distillation met...

0 Hyungmin Kim, et al. ∙

research

∙ 09/27/2022

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

Pre-training vision-language models with contrastive objectives has show...

3 Janghyeon Lee, et al. ∙

research

∙ 08/17/2022

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning

Pre-trained representation is one of the key elements in the success of ...

0 Hyounguk Shon, et al. ∙

research

∙ 07/27/2022

Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks

Non-local (NL) block is a popular module that demonstrates the capabilit...

0 Yooshin Cho, et al. ∙

research

∙ 07/16/2022

Stochastic Attribute Modeling for Face Super-Resolution

When a high-resolution (HR) image is degraded into a low-resolution (LR)...

0 Hanbyel Cho, et al. ∙

research

∙ 05/23/2022

Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation

Despite its importance, unsupervised domain adaptation (UDA) on LiDAR se...

0 Eojindl Yi, et al. ∙

research

∙ 04/29/2022

Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN

Transfer learning of StyleGAN has recently shown great potential to solv...

0 Dongyeun Lee, et al. ∙

research

∙ 04/08/2022

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning

Recent self-supervised video representation learning methods focus on ma...

0 Jinhyung Kim, et al. ∙

research

∙ 02/04/2022

Projection-based Point Convolution for Efficient Point Cloud Segmentation

Understanding point cloud has recently gained huge interests following t...

0 Pyunghwan Ahn, et al. ∙

research

∙ 01/19/2022

Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

Depth estimation from a single image is an important task that can be ap...

3 Doyeon Kim, et al. ∙

research

∙ 12/09/2021

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning

With the development of 3D scanning technologies, 3D vision tasks have b...

0 JuYoung Yang, et al. ∙

research

∙ 11/30/2021

Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning

Existing 3D human pose estimation algorithms trained on distortion-free ...

0 Hanbyel Cho, et al. ∙

research

∙ 09/20/2021

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

Recent weakly-supervised semantic segmentation (WSSS) has made remarkabl...

0 Beomyoung Kim, et al. ∙

research

∙ 08/24/2021

Improving Generalization of Batch Whitening by Convolutional Unit Optimization

Batch Whitening is a technique that accelerates and stabilizes training ...

0 Yooshin Cho, et al. ∙

research

∙ 04/23/2021

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

We present a new approach for oriented object detection, an anchor-free ...

0 Beomyoung Kim, et al. ∙

research

∙ 04/14/2021

Joint Negative and Positive Learning for Noisy Labels

Training of Convolutional Neural Networks (CNNs) with data with noisy la...

0 Youngdong Kim, et al. ∙

research

∙ 03/05/2021

Extending Contrastive Learning to Unsupervised Coreset Selection

Self-supervised contrastive learning offers a means of learning informat...

0 Jeongwoo Ju, et al. ∙

research

∙ 11/05/2020

Deep Active Learning with Augmentation-based Consistency Estimation

In active learning, the focus is mainly on the selection strategy of unl...

0 SeulGi Hong, et al. ∙

research

∙ 11/02/2020

PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation

Following considerable development in 3D scanning technologies, many stu...

0 JuYoung Yang, et al. ∙

research

∙ 11/02/2020

Highway Driving Dataset for Semantic Video Segmentation

Scene understanding is an essential technique in semantic segmentation. ...

0 Byungju Kim, et al. ∙

research

∙ 10/29/2020

Collaborative Method for Incremental Learning on Classification and Generation

Although well-trained deep neural networks have shown remarkable perform...

0 Byungju Kim, et al. ∙

research

∙ 09/04/2020

TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator

Advances in technology have led to the development of methods that can c...

13 Doyeon Kim, et al. ∙

research

∙ 04/16/2020

Continual Learning with Extended Kronecker-factored Approximate Curvature

We propose a quadratic penalty method for continual learning of neural n...

0 Janghyeon Lee, et al. ∙

research

∙ 02/17/2020

Residual Continual Learning

We propose a novel continual learning method called Residual Continual L...

0 Janghyeon Lee, et al. ∙

research

∙ 12/15/2019

Joint Learning of Generative Translator and Classifier for Visually Similar Classes

In this paper, we propose a Generative Translation Classification Networ...

20 ByungIn Yoo, et al. ∙

research

∙ 12/04/2019

Adjusting Decision Boundary for Class Imbalanced Learning

Training of deep neural networks heavily depends on the data distributio...

0 Byungju Kim, et al. ∙

research

∙ 12/03/2019

EDAS: Efficient and Differentiable Architecture Search

Transferrable neural architecture search can be viewed as a binary optim...

0 Hyeong Gwon Hong, et al. ∙

research

∙ 09/26/2019

Balancing Domain Gap for Object Instance Detection

Object instance detection in cluttered indoor environment is a core func...

0 Woo-han Yun, et al. ∙

research

∙ 08/19/2019

NLNL: Negative Learning for Noisy Labels

Convolutional Neural Networks (CNNs) provide excellent performance when ...

0 Youngdong Kim, et al. ∙

research

∙ 07/23/2019

RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation

We introduce Repetition-Reduction network (RRNet) for resource-constrain...

0 Sangyun Oh, et al. ∙

research

∙ 12/26/2018

Learning Not to Learn: Training Deep Neural Networks with Biased Data

We propose a novel regularization algorithm to train deep neural network...

0 Byungju Kim, et al. ∙

research

∙ 11/11/2018

Integrating Multiple Receptive Fields through Grouped Active Convolution

Convolutional networks have achieved great success in various vision tas...

0 Yunho Jeon, et al. ∙

research

∙ 04/20/2018

Generating a Fusion Image: One's Identity and Another's Shape

Generating a novel image by manipulating two input images is an interest...

0 Donggyu Joo, et al. ∙

research

∙ 11/16/2017

Less-forgetful Learning for Domain Expansion in Deep Neural Networks

Expanding the domain that deep neural network has already learned withou...

0 Heechul Jung, et al. ∙

research

∙ 09/12/2017

Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models

Deep neural networks (DNNs) have shown the state-of-the-art level of per...

0 Han S. Lee, et al. ∙

Junmo Kim

Featured Co-authors