| 2026 | AAAI | Leveraging Textual Compositional Reasoning for Robust Change Captioning. | Kyu Ri Park, Jiyoung Park, Seong Tae Kim, Hong Joo Lee, Jung Uk Kim |
| 2025 | AAAI | LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies. | Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim |
| 2025 | AAAI | HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning. | Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim |
| 2025 | CVPR | PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition. | Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi |
| 2025 | ICIP | TECIS: Text-Enhanced Cross-Modal Instrument Segmentation in Surgical Video. | Hyeon Bae Kim, Eunki Cho, Jung Uk Kim, Seong Tae Kim |
| 2025 | ICML | When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series. | Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park |
| 2025 | MICCAI | PRADA: Protecting and Detecting Dataset Abuse for Open-Source Medical Dataset. | Jinhyeok Jang, Hong Joo Lee, Nassir Navab, Seong Tae Kim |
| 2025 | MICCAI | SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition. | Ka Young Kim, Hyeon Bae Kim, Seong Tae Kim |
| 2025 | MICCAI | Towards Holistic Surgical Scene Graph. | Jongmin Shin, Enki Cho, Ka Young Kim, Jung Yong Kim, Seong Tae Kim, Namkee Oh |
| 2024 | CVPR | WWW: A Unified Framework for Explaining what, Where and why of Neural Networks by Interpretation of Neuron Concepts. | Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim |
| 2024 | CVPR | Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval. | Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim |
| 2024 | ECCV | MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. | Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim |
| 2024 | ICMLA | Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models. | Musarrat Hussain, Ubaid Ur Rehman, Tri D. T. Nguyen, Sungyoung Lee, Seong Tae Kim, Sung-Ho Bae, Jung Uk Kim |
| 2024 | MICCAI | Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain. | Hyeon Bae Kim, Yong Hyun Ahn, Seong Tae Kim |
| 2023 | CVPR | LINe: Out-of-Distribution Detection by Leveraging Important Neurons. | Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim |
| 2023 | ICASSP | Towards Robust Audio-Based Vehicle Detection Via Importance-Aware Audio-Visual Learning. | Jung Uk Kim, Seong Tae Kim |
| 2022 | ICPR | Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning. | Felix Buchert, Nassir Navab, Seong Tae Kim |
| 2021 | CVPR | Neural Response Interpretation Through the Lens of Critical Pathways. | Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab |
| 2021 | MICCAI | OperA: Attention-Regularized Transformers for Surgical Phase Recognition. | Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab |
| 2021 | MICCAI | Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models. | Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab |
| 2021 | MICCAI | Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features. | Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab |
| 2021 | MICCAI | Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. | Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler |
| 2020 | BMVC | Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack. | Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro |
| 2020 | ICASSP | Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation. | Jung Uk Kim, Seong Tae Kim, Eun Sung Kim, Sang-Keun Moon, Yong Man Ro |
| 2020 | MICCAI | TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. | Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab |
| 2019 | ICIP | Probenet: Probing Deep Networks. | Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro |
| 2019 | MICCAI | Realistic Breast Mass Generation Through BIRADS Category. | Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro |
| 2019 | MICCAI | Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis. | Hyebin Lee, Seong Tae Kim, Yong Man Ro |
| 2018 | ECCV | Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation? | Seong Tae Kim, Yong Man Ro |
| 2018 | ECCV | Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. | Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro |
| 2018 | MMM | Teacher and Student Joint Learning for Compact Facial Landmark Detection Network. | Hong Joo Lee, Wissam J. Baddar, Hak Gu Kim, Seong Tae Kim, Yong Man Ro |
| 2018 | MMM | Convolution with Logarithmic Filter Groups for Efficient Shallow CNN. | Tae Kwan Lee, Wissam J. Baddar, Seong Tae Kim, Yong Man Ro |