Eunwoo Kim

IEEE Signal Process. Lett., 2025

Dataset condensation with coarse-to-fine regularization.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2025

2024

Mitigating Search Interference With Task-Aware Nested Search.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Active Learning With Long-Range Observation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

Self-supervised learning with automatic data augmentation for enhancing representation.

[BibT_eX]

[DOI]

Chanjong Park

Pattern Recognit. Lett., 2024

Unsupervised Anomaly Detection Using Diffusion Trend Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Active Learning with Selective Removing.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Similarity-Aware Class Discrimination in Class-Incremental Semantic Segmentation.

[BibT_eX]

[DOI]

Gyeong-Hyeon Kim

Nayoung Ko

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Continual Learning for Multiple Task Complexities.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

Gravitated Latent Space Loss Generated by Metric Tensor for High-Dynamic Range Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Task-Aware Dynamic Model Optimization for Multi-Task Learning.

[BibT_eX]

[DOI]

Sujin Choi

IEEE Access, 2023

Growing a Brain with Sparsity-Inducing Generation for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network.

[BibT_eX]

[DOI]

Soyeon Park

IEEE Access, 2022

Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning.

[BibT_eX]

[DOI]

Kimin Yun

IEEE Access, 2022

Improving Augmentation Efficiency for Few-Shot Learning.

[BibT_eX]

[DOI]

Wonhee Cho

IEEE Access, 2022

Incremental Learning With Adaptive Model Search and a Nominal Loss Model.

[BibT_eX]

[DOI]

IEEE Access, 2022

Multitask Learning with Heterogeneous Tasks.

[BibT_eX]

[DOI]

Changseong Kim

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Helpful or Harmful: Inter-task Association in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Clustering-Guided Incremental Learning of Tasks.

[BibT_eX]

[DOI]

Yoonhee Kim

Proceedings of the International Conference on Information Networking, 2021

2020

Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

A Scalable Framework for Data-Driven Subspace Representation and Clustering.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Deep Elastic Networks With Model Selection for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Structured Kernel Subspace Learning for Autonomous Robot Navigation.

[BibT_eX]

[DOI]

Sensors, 2018

NestedNet: Learning Nested Sparse Structures in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Real-time nonparametric reactive navigation of mobile robots in dynamic environments.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2017

Learning Nested Sparse Structures in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Robust Elastic-Net Subspace Representation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

2015

Efficient l<sub>1</sub>-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Robust orthogonal matrix factorization for efficient subspace learning.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Leveraged non-stationary Gaussian process regression for autonomous robot navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Elastic-net regularization of singular values for robust subspace learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

fMRI analysis of excessive binocular disparity on the human brain.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2014

A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Real-time navigation in crowded dynamic environments using Gaussian process motion control.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

A shrinkage method for causal network detection of brain regions.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2013

Pattern-Based Granger Causality Mapping in fMRI.

[BibT_eX]

[DOI]

Brain Connect., 2013

Human behavior prediction for smart homes using deep learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

2011

New fMRI analysis method for multiple stimuli using reference estimation.

[BibT_eX]

[DOI]