| 2026 | CHI | Design and Multi-level Evaluation of MAP-X: a Medically Aligned, Patient-Centered AI Explanation System. | Yuyoung Kim, Minjung Kim, Saebyeol Kim, Sooyoun Cho, Jinwoo Kim |
| 2024 | ACL | See It All: Contextualized Late Aggregation for 3D Dense Captioning. | Minjung Kim, Hyung Lim, Seung Hwan Kim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim |
| 2024 | COMPSAC | Implementation of Dynamic Round Robin Scheduling on Bare-Metal Shallow Multi-OS for Lightweighted Microcontrollers. | Minjung Kim, Daejin Park |
| 2024 | ECCV | Bi-directional Contextual Attention for 3D Dense Captioning. | Minjung Kim, Hyung Suk Lim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim |
| 2024 | ICRA | FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction. | Sungmin Woo, Minjung Kim, Donghyeong Kim, Sungjun Jang, Sangyoun Lee |
| 2023 | CIKM | MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. | Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park |
| 2023 | CVPR | Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning. | MyeongAh Cho, Minjung Kim, Sangwon Hwang, Chaewon Park, Kyungjae Lee, Sangyoun Lee |
| 2023 | ICCV | EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization. | Minjung Kim, Junseo Koo, Gunhee Kim |
| 2023 | WACV | Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification. | Minjung Kim, MyeongAh Cho, Sangyoun Lee |
| 2022 | AAAI | Differentially Private Normalizing Flows for Synthetic Tabular Data Generation. | Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro |
| 2022 | ECCV | Tackling Background Distraction in Video Object Segmentation. | Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee |
| 2022 | ICASSP | Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning. | Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee |
| 2022 | KDD | SOS: Score-based Oversampling for Tabular Data. | Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho |
| 2022 | WACV | Pixel-Level Bijective Matching for Video Object Segmentation. | Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee |
| 2021 | ICLR | Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration. | Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim |
| 2018 | ICLR | Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks. | Youngjin Kim, Minjung Kim, Gunhee Kim |