Kim, Seong Tae

13 publications

NeurIPS 2025 Disentangled Concepts Speak Louder than Words: Explainable Video Action Recognition Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi

AAAI 2025 HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim

AAAI 2025 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

CVPRW 2025 PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi

ICML 2025 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

CVPR 2024 Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim

ECCV 2024 MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim

CVPR 2024 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

CVPR 2023 LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim

NeurIPS 2021 Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab

CVPR 2021 Neural Response Interpretation Through the Lens of Critical Pathways Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab

ICCVW 2019 Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis Hyebin Lee, Seong Tae Kim, Yong Man Ro

ECCVW 2018 Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro