Digital Library
Search: "[ keyword: Multimodal ]" (11)
MLSQ: A Multimodal-based System for Learning Material Summarization and Question Generation
Geonwoo Yu, Sangyoon Lee, Jinyoung Ahn, Minha Woo, Sugyeong Kim, Jungoo Lee, Hyeonwoo Choi, Yaeran Kim, Woonghee Lee The Transactions of the Korea Information Processing Society,
Vol. 14, No. 12, pp. 1004-1015,
Dec.
2025
10.3745/TKIPS.2025.14.12.1004
Keywords: Multimodal, Automatic Question Generation, Learning Material Summarization, Large Language Model, Optical Character Recognition
10.3745/TKIPS.2025.14.12.1004
Keywords: Multimodal, Automatic Question Generation, Learning Material Summarization, Large Language Model, Optical Character Recognition
Research on the Use of Multimodal Data for Detecting Emergency Situations Involving Elderly People Living Alone
Suyeon Lim, Seongbok Baik, Yong-Geun Hong The Transactions of the Korea Information Processing Society,
Vol. 14, No. 11, pp. 950-959,
Nov.
2025
https://doi.org/10.3745/TKIPS.2025.14.11.950
Keywords: Multimodal Data, Anomaly Detection, Early Fusion
https://doi.org/10.3745/TKIPS.2025.14.11.950
Keywords: Multimodal Data, Anomaly Detection, Early Fusion
Label Differential Privacy Study for Privacy Protection in Multimodal Contrastive Learning Model
Youngseo Kim, Minseo Yu, Younghan Lee, Ho Bae The Transactions of the Korea Information Processing Society,
Vol. 14, No. 5, pp. 289-296,
May.
2025
https://doi.org/10.3745/TKIPS.2025.14.5.289
Keywords: Differential privacy, multimodal deep learning, contrastive learning, data privacy
https://doi.org/10.3745/TKIPS.2025.14.5.289
Keywords: Differential privacy, multimodal deep learning, contrastive learning, data privacy
SViT: A Novel Multimodal Learning Approach for Ship Distance Estimation via Time-Series Data Visualization
Sun Choi, Jeongmin Choi, Hyunbae Chang, Jhonghyun An The Transactions of the Korea Information Processing Society,
Vol. 14, No. 3, pp. 203-213,
Mar.
2025
https://doi.org/10.3745/TKIPS.2025.14.3.203
Keywords: Underwater Ship Estimation, multivariate time series forecasting, Multimodal, Vision Transformer (ViT)
https://doi.org/10.3745/TKIPS.2025.14.3.203
Keywords: Underwater Ship Estimation, multivariate time series forecasting, Multimodal, Vision Transformer (ViT)
Pedestrian Road-Crossing Prediction and Safety Enhancement Using Fine-tuned VideoLLaMA2
Sung Hun Kim, Je-Seok Ham, Jinyoung Moon The Transactions of the Korea Information Processing Society,
Vol. 14, No. 1, pp. 32-40,
Jan.
2025
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
Contrastive Learning Based on Modality Reflection View for Accurate Multimedia Recommendation
Sohee Ban, Taeri Kim, Sang-Wook Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 11, pp. 637-644,
Nov.
2024
https://doi.org/10.3745/TKIPS.2024.13.11.637
Keywords: Multimedia Recommendation, contrastive learning, Multimodal Features
https://doi.org/10.3745/TKIPS.2024.13.11.637
Keywords: Multimedia Recommendation, contrastive learning, Multimodal Features
Efficient Emotion Classification Method Based on Multimodal Approach Using Limited Speech and Text Data
Mirr Shin, Youhyun Shin The Transactions of the Korea Information Processing Society,
Vol. 13, No. 4, pp. 174-180,
Apr.
2024
https://doi.org/10.3745/TKIPS.2024.13.4.174
Keywords: Artificial intelligence, Natural Language Processing, speech recognition, Multimodal, Emotion classification
https://doi.org/10.3745/TKIPS.2024.13.4.174
Keywords: Artificial intelligence, Natural Language Processing, speech recognition, Multimodal, Emotion classification
Development of Gas Type Identification Deep-learning Model through Multimodal Method
Seo Hee Ahn, Gyeong Yeong Kim, Dong Ju Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 12, pp. 525-534,
Dec.
2023
https://doi.org/10.3745/KTSDE.2023.12.12.525
Keywords: AI, Deep Learning, Multimodal, Gas Detection, Gas Identification
https://doi.org/10.3745/KTSDE.2023.12.12.525
Keywords: AI, Deep Learning, Multimodal, Gas Detection, Gas Identification
Multi-Object Goal Visual Navigation Based on Multimodal Context Fusion
Jeong Hyun Choi, In Cheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 9, pp. 407-418,
Sep.
2023
https://doi.org/10.3745/KTSDE.2023.12.9.407
Keywords: Multi-Object Goal Visual Navigation, Deep Reinforcement Learning, Multimodal Context Fusion, Global Mapping
https://doi.org/10.3745/KTSDE.2023.12.9.407
Keywords: Multi-Object Goal Visual Navigation, Deep Reinforcement Learning, Multimodal Context Fusion, Global Mapping
Computer Graphics & Multimodal Brain Image Registration based on Surface Distance and Surface Curvature Optimization
Ji Young Park , Yoo Joo Choi , Min Jeong Kim , Woo Suk Tae , Seung Bong Hong , Myoung Hee Kim The KIPS Transactions:PartA,
Vol. 11, No. 5, pp. 391-400,
Oct.
2004
10.3745/KIPSTA.2004.11.5.391
10.3745/KIPSTA.2004.11.5.391
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).
