관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Detecting Unknown Objects via Energy-based Separation for Open World Object Detection
J.-W. Heo, K.-H. Park, G.-M. Park
KU박경문
Decoupled Generative Modeling for Human-Object Interaction Synthesis
Hwanhee Jung, Seunggwan Lee, Jeongyoon Yoon, SeungHyeon Kim, Giljoo Nam, Qixing Huang, Sangpil Kim
KU김상필
SERA: Self-referential assessment framework for bidirectional generative commonsense reasoning
Jaehyung Seo, Hyeonseok Moon, Yoonna Jang, Heuiseok Lim
KU임희석
On the generalization limits of quantum generative adversarial networks with pure state generators
Jasmin, Akash Malemath Frkatovic, Ivan Kankeu, Yannick Werner, Matthias Tschöpe, Vitor Fortes Rey, Sungho Suh, Paul Lukowicz, Nikolaos Palaiodimopoulos, and Maximilian Kiefer-Emmanouilidis
KU서승호
Explaining Generative Diffusion Models via Visual Analysis for Interpretable Decision-Making Process
J.-H. Park, Y.-J. Ju, and S.-W. Lee
KU이성환
Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, Jaehyung Seo, Heuiseok Lim
KU임희석
Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic functional Brain Network Generation
Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam
KU감태의
A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder
Ji-Hye Oh, Eunjung Jo, Tae-Eui Kam
KU감태의
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
Kwanyong Park, Kuniaki Saito, Donghyun Kim
KU김동현
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
KU정종헌
MAGVLT: Masked Generative Vision-and-Language Transformer
Sungwoong Kim, Daejin Jo, Donghoon Lee, Jongmin Kim
KU김성웅, 임성빈
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
Sungbin Lim, Eunbi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi
KU김성웅, 임성빈
Score-based Generative Models with Levy Processes
Eunbi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim
KU김성웅, 임성빈
CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients
Jaehyung Seo, Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, Heuiseok Lim
KU임희석
Score-based Generative Modeling through Stochastic Evolution Equation in Hilbert Spaces
Sungbin Lim, Eunbi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi
KU최성준
GITGAN: Generative Inter-subject Transfer for EEG Motor Imagery Analysis
K. Yin, E.Y. Lim, and S.-W. Lee
KU이성환
Real-world prediction of preclinical Alzheimer's disease with a deep generative model
Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, SeungWook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
KU성준경
PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-day Malware Detection
D.-O. Won, Y.-N. Jang, and S.-W. Lee
KU이성환
Speech Synthesis from Brain Signals Based on Generative Model
Y.-E. Lee, S.-H. Lee, S. Kim, S.-H. Kim, J.-S. Lee, S.-W. Lee
KU이성환
Knowledge Graph-Augmented Korean Generative Commonsense Reasoning
Dahyun Jung, Jaehyung Seo, Jaewook Lee, Chanjun Park, Heuiseok Lim
KU임희석