*: Corresponding Author
- [SP24] WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concept
Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Seattle) - [SP23] Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi*, Seong Tae Kim*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Seattle) - [SP22] OnDev-LCT: On-Device Lightweight Convolutional Transformers towards Federated Learning
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
Neural Networks, 2024 - [SP21] Exploiting Recollection Effects for Memory-based Video Object Segmentation
Enki Cho, Minkuk Kim, Hyung-Il Kim, Jinyoung Moon, Seong Tae Kim*
Image and Vision Computing, 2023 - [SP20] LINe: Out-of-Distribution Detection by Leveraging Important Neurons
Yong Hyun Ahn, Gyeong-Moon Park*, Seong Tae Kim*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Vancouver) - [SP19] Towards Robust Audio-based Vehicle Detection via Importance-aware Audio-Visual Learning
Jung Uk Kim, Seong Tae Kim
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 (Rhodes) - [SP18] Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
Felix Buchert, Nassir Navab, Seong Tae Kim*
International Conference on Pattern Recognition (ICPR), 2022 (Montreal) - [SP17] Robust Perturbation for Visual Explanation: Cross-checking Mask Optimization to Avoid Class Distortion
Junho Kim, Seongyeop Kim, Seong Tae Kim, Yong Man Ro
IEEE Transactions on Image Processing (TIP), 2022 - [SP16] 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
Conference on Neural Information Processing Systems (NeurIPS), 2021 (Virtual) - [SP15] Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Seong Tae Kim*, Leili Goli (co-first), Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 (Virtual) - [SP14] 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
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 (Virtual) - [SP13] 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
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 (Virtual) - [SP12] OperA: Attention-Regularized Transformers for Surgical Phase Recognition
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 (Virtual) - [SP11] Neural Response Interpretation through the Lens of Critical Pathways
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim*, Nassir Navab
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (Virtual) - [SP10] CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection
Jung Uk Kim, Seong Tae Kim, Hong Joo Lee, Sangmin Lee, Yong Man Ro
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
Before 2021
- [SP9] Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next “Level”
Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong Ping Zheng, Nassir Navab
IEEE Robotics and Automation Letters (RA-L), 2020
Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 (Virtual) - [SP8] 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
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020 (Virtual) - [SP7] Multimodal Facial Biometrics Recognition: Dual-stream Convolutional Neural Networks with Multi-feature Fusion Layers
Leslie Ching Ow Tiong, Seong Tae Kim, Yong Man Ro
Image and Vision Computing (ImaVis), 2020 - [SP6] Lightweight and effective facial landmark detection using adversarial learning with face geometric map generative network
Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020 - [SP5] 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
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 (Virtual Barcelona) - [SP4] Attended relation feature representation of facial dynamics for facial authentication
Seong Tae Kim, Yong Man Ro
IEEE Transactions on Information Forensics and Security (TIFS), 2019 - [SP3] Realistic breast mass generation through BIRADS category
Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019 (Shenzhen) - [SP2] Facial dynamics interpreter network: What are the important relations between local dynamics for facial trait estimation?
Seong Tae Kim,Yong Man Ro
European Conference on Computer Vision (ECCV), 2018 (Munich) - [SP1] Latent feature representation with 3-D Multi-view convolutional neural network for bilateral analysis in digital breast tomosynthesis
Dae Hoe Kim, Seong Tae Kim, Yong Man Ro
IEEE International Conference on Acoustics, speech and signal processing (ICASSP), 2016 (Shanghai)