Digital Library
Search: "[ author: Incheol Kim ]" (18)
Class-Agnostic 3D Mask Proposal and 2D-3D Visual Feature Ensemble for Efficient Open-Vocabulary 3D Instance Segmentation
Sungho Song, Kyungmin Park, Incheol Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 7, pp. 335-347,
Jul.
2024
10.3745/TKIPS.2024.13.7.335
Keywords: Point cloud, Open-Vocabulary 3D Instance Segmentation, Class-Agnostic 3D Mask Proposal, 2D-3D Visual Feature Ensemble
10.3745/TKIPS.2024.13.7.335
Keywords: Point cloud, Open-Vocabulary 3D Instance Segmentation, Class-Agnostic 3D Mask Proposal, 2D-3D Visual Feature Ensemble
Effective Multi-Modal Feature Fusion for 3D Semantic Segmentation with Multi-View Images
Hye-Lim Bae, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 12, pp. 505-518,
Dec.
2023
https://doi.org/10.3745/KTSDE.2023.12.12.505
Keywords: 3D Semantic Segmentation, Point cloud, Multi-View RGB-D Images, 2D-3D Feature Fusion
https://doi.org/10.3745/KTSDE.2023.12.12.505
Keywords: 3D Semantic Segmentation, Point cloud, Multi-View RGB-D Images, 2D-3D Feature Fusion
Context-Dependent Video Data Augmentation for Human Instance Segmentation
HyunJin Chun, JongHun Lee, InCheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 5, pp. 217-228,
May.
2023
https://doi.org/10.3745/KTSDE.2023.12.5.217
Keywords: Drama Video, Human Instance Segmentation, Class Imbalance, Video Data Augmentation, Spatio-temporal Context
https://doi.org/10.3745/KTSDE.2023.12.5.217
Keywords: Drama Video, Human Instance Segmentation, Class Imbalance, Video Data Augmentation, Spatio-temporal Context
Predicting Unseen Object Pose with an Adaptive Depth Estimator
Sungho Song, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 12, pp. 509-516,
Dec.
2022
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
Effective Utilization of Domain Knowledge for Relational Reinforcement Learning
MinKyo Kang, InCheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 3, pp. 141-148,
Mar.
2022
https://doi.org/10.3745/KTSDE.2022.11.3.141
Keywords: Relational Reinforcement Learning, Domain Knowledge, Policy, Logic Predicate, Generality, Interpretability
https://doi.org/10.3745/KTSDE.2022.11.3.141
Keywords: Relational Reinforcement Learning, Domain Knowledge, Policy, Logic Predicate, Generality, Interpretability
Graph Reasoning and Context Fusion for Multi-Task, Multi-Hop Question Answering
Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 8, pp. 319-330,
Aug.
2021
https://doi.org/10.3745/KTSDE.2021.10.8.319
Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network
https://doi.org/10.3745/KTSDE.2021.10.8.319
Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network
C-COMA: A Continual Reinforcement Learning Model for Dynamic Multiagent Environments
Kyueyeol Jung, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 4, pp. 143-152,
Apr.
2021
https://doi.org/10.3745/KTSDE.2021.10.4.143
Keywords: Multiagent Reinforcement Learning, Dynamic Environment, Continual Learning, Starcraft II
https://doi.org/10.3745/KTSDE.2021.10.4.143
Keywords: Multiagent Reinforcement Learning, Dynamic Environment, Continual Learning, Starcraft II
Hybrid Learning for Vision-and-Language Navigation Agents
Suntaek Oh, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 9, pp. 281-290,
Sep.
2020
https://doi.org/10.3745/KTSDE.2020.9.9.281
Keywords: Vision-and-Language Navigation, Hybrid Learning, Path-Based Reward Function
https://doi.org/10.3745/KTSDE.2020.9.9.281
Keywords: Vision-and-Language Navigation, Hybrid Learning, Path-Based Reward Function
Bilinear Graph Neural Network-Based Reasoning for Multi-Hop Question Answering
Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 8, pp. 243-250,
Aug.
2020
https://doi.org/10.3745/KTSDE.2020.9.8.243
Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network
https://doi.org/10.3745/KTSDE.2020.9.8.243
Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network
KG_VCR: A Visual Commonsense Reasoning Model Using Knowledge Graph
JaeYun Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 3, pp. 91-100,
Mar.
2020
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
