Time delay control with switching action using frequency-shaped integral sliding surface. - Sung-Uk Lee; Pyung Hun Chang; Seong-Tae Kim 001 (ACC, 2003)

Safety-Ensuring Systematic Design for Service Robots. - Seong-Tae Kim 001; Pyung Hun Chang (ICOST, 2008)

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis. - Seong-Tae Kim 001; Dae Hoe Kim; Eun Suk Cha; Yong Man Ro (BHI, 2014)

Generation of conspicuity-improved synthetic image from digital breast tomosynthesis. - Seong-Tae Kim 001; Dae Hoe Kim; Yong Man Ro (DSP, 2014)

Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. - Dae Hoe Kim; Seong-Tae Kim 001; Wissam J. Baddar; Yong Man Ro (ICIP, 2015)

Region matching based on local structure information in ipsilateral digital breast tomosynthesis views. - Seong-Tae Kim 001; Dae Hoe Kim; Dong Jin Ji; Yong Man Ro (ICIP, 2015)

Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection. - Seong Tae Kim 001; Dae Hoe Kim; Yong Man Ro (Computer-Aided Diagnosis, 2015)

Feature extraction from inter-view similarity of DBT projection views. - Dae Hoe Kim; Seong Tae Kim 001; Yong Man Ro (Computer-Aided Diagnosis, 2015)

Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication. - Seong-Tae Kim 001; Dae Hoe Kim; Yong Man Ro (BTAS, 2016)

Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis. - Dae Hoe Kim; Seong-Tae Kim 001; Yong Man Ro (ICASSP, 2016)

A deep facial landmarks detection with facial contour and facial components constraint. - Wissam J. Baddar; Jisoo Son; Dae Hoe Kim; Seong-Tae Kim 001; Yong Man Ro (ICIP, 2016)

Spatio-temporal representation for face authentication by using multi-task learning with human attributes. - Seong-Tae Kim 001; Dae Hoe Kim; Yong Man Ro (ICIP, 2016)

Multi-Scale Facial Scanning via Spatial Lstm for Latent Facial Feature Representation. - Seong Tae Kim 001; Yeoreum Choi; Yong Man Ro (BIOSIG, 2017)

Adaptive attention fusion network for visual question answering. - Geonmo Gu; Seong Tae Kim 001; Yong Man Ro (ICME, 2017)

EvaluationNet: Can Human Skill be Evaluated by Deep Networks? - Seong Tae Kim 001; Yong Man Ro (CoRR, 2017)

Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data. - Geonmo Gu; Seong Tae Kim 001; Ki Hyun Kim; Wissam J. Baddar; Yong Man Ro (CoRR, 2017)

Interpretable Facial Relational Network Using Relational Importance. - Seong Tae Kim 001; Yong Man Ro (CoRR, 2017)

Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation? - Seong Tae Kim 001; Yong Man Ro (ECCV (12), 2018)

Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. - Jae-Hyeok Lee 001; Seong Tae Kim 001; Hakmin Lee; Yong Man Ro (ECCV Workshops (6), 2018)

ICADx: interpretable computer aided diagnosis of breast masses. - Seong Tae Kim 001; Hakmin Lee; Hak Gu Kim; Yong Man Ro (Computer-Aided Diagnosis, 2018)

Teacher and Student Joint Learning for Compact Facial Landmark Detection Network. - Hong Joo Lee 001; Wissam J. Baddar; Hak Gu Kim; Seong Tae Kim 001; Yong Man Ro (MMM (1), 2018)

Convolution with Logarithmic Filter Groups for Efficient Shallow CNN. - Tae Kwan Lee; Wissam J. Baddar; Seong Tae Kim 001; Yong Man Ro (MMM (1), 2018)

Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis. - Hyebin Lee; Seong Tae Kim 001; Yong Man Ro (ICCV Workshops, 2019)

Probenet: Probing Deep Networks. - Jae-Hyeok Lee 001; Seong Tae Kim 001; Yong Man Ro (ICIP, 2019)

Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis. - Seong Tae Kim 001; Jae-Hyeok Lee 001; Yong Man Ro (Computer-Aided Diagnosis, 2019)

Realistic Breast Mass Generation Through BIRADS Category. - Hakmin Lee; Seong Tae Kim 001; Jae-Hyeok Lee 001; Yong Man Ro (MICCAI (6), 2019)

Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis. - Hyebin Lee; Seong Tae Kim 001; Yong Man Ro (iMIMIC/ML-CDS@MICCAI, 2019)

Explaining Neural Networks via Perturbing Important Learned Features. - Ashkan Khakzar; Soroosh Baselizadeh; Saurabh Khanduja; Seong Tae Kim 001; Nassir Navab (CoRR, 2019)

Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion. - Leslie Ching Ow Tiong; Seong Tae Kim 001; Yong Man Ro (Multim. Tools Appl., 2019)

Attended Relation Feature Representation of Facial Dynamics for Facial Authentication. - Seong Tae Kim 001; Yong Man Ro (IEEE Trans. Inf. Forensics Secur., 2019)

Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack. - Hakmin Lee; Hong Joo Lee 001; Seong Tae Kim 001; Yong Man Ro (BMVC, 2020)

Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. - Stefan Denner; Ashkan Khakzar; Moiz Sajid; Mahdi Saleh; Ziga Spiclin; Seong-Tae Kim 001; Nassir Navab (BrainLes@MICCAI (1), 2020)

Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation. - Jung Uk Kim; Seong Tae Kim 001; Eun Sung Kim; Sang-Keun Moon; Yong Man Ro (ICASSP, 2020)

TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. - Tobias Czempiel; Magdalini Paschali; Matthias Keicher; Walter Simson; Hubertus Feussner; Seong Tae Kim 001; Nassir Navab (MICCAI (3), 2020)

Confident Coreset for Active Learning in Medical Image Analysis. - Seong Tae Kim 001; Farrukh Mushtaq; Nassir Navab (CoRR, 2020)

Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation. - Hong Joo Lee 001; Seong Tae Kim 001; Hakmin Lee; Nassir Navab; Yong Man Ro (CoRR, 2020)

Self-Supervised Out-of-Distribution Detection in Brain CT Scans. - Abinav Ravi Venkatakrishnan; Seong Tae Kim 001; Rami Eisawy; Franz Pfister; Nassir Navab (CoRR, 2020)

Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers. - Leslie Ching Ow Tiong; Seong Tae Kim 001; Yong Man Ro (Image Vis. Comput., 2020)

Stochastic elasticity of vol-of-vol and pricing of variance swaps. - Seong-Tae Kim 001; Jeong-Hoon Kim (Math. Comput. Simul., 2020)

Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level". - Maria Tirindelli; Maria Victorova; Javier Esteban; Seong Tae Kim 001; David Navarro-Alarcon; Yong-Ping Zheng; Nassir Navab (IEEE Robotics Autom. Lett., 2020)

Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network. - Hong Joo Lee 001; Seong Tae Kim 001; Hakmin Lee; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2020)

Neural Response Interpretation Through the Lens of Critical Pathways. - Ashkan Khakzar; Soroosh Baselizadeh; Saurabh Khanduja; Christian Rupprecht 001; Seong Tae Kim 001; Nassir Navab (CVPR, 2021)

Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation. - Tetiana Klymenko; Seong Tae Kim 001; Kirsten Lauber; Christopher Kurz; Guillaume Landry; Nassir Navab; Shadi Albarqouni (ISBI, 2021)

OperA: Attention-Regularized Transformers for Surgical Phase Recognition. - Tobias Czempiel; Magdalini Paschali; Daniel Ostler; Seong Tae Kim 001; Benjamin Busam; Nassir Navab (MICCAI (4), 2021)

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 001; Nassir Navab (MICCAI (3), 2021)

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 001; Nassir Navab (MICCAI (3), 2021)

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. - Seong Tae Kim 001; Leili Goli; Magdalini Paschali; Ashkan Khakzar; Matthias Keicher; Tobias Czempiel; Egon Burian; Rickmer Braren; Nassir Navab; Thomas Wendler 001 (MICCAI (7), 2021)

Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. - Yang Zhang; Ashkan Khakzar; Yawei Li; Azade Farshad; Seong Tae Kim 001; Nassir Navab (NeurIPS, 2021)

Longitudinal Brain MR Image Modeling Using Personalized Memory for Alzheimer's Disease. - Seong Tae Kim 001; Umut Küçükaslan; Nassir Navab (IEEE Access, 2021)

GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images. - Aadhithya Sankar; Matthias Keicher; Rami Eisawy; Abhijeet Parida; Franz Pfister; Seong-Tae Kim 001; Nassir Navab (CoRR, 2021)

CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection. - Jung Uk Kim; Seong-Tae Kim 001; Hong Joo Lee 001; Sangmin Lee 001; Yong Man Ro (IEEE Trans. Circuits Syst. Video Technol., 2021)

Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning. - Felix Buchert; Nassir Navab; Seong Tae Kim 001 (ICPR, 2022)

Theory, Applications, and Challenges of Cyber-Physical Systems 2021. - Hang Su 001; Bo Xiao; Mingchuan Zhou; Wen Qi; Juan Sandoval 001; Seong Tae Kim 001 (Complex., 2022)

Longitudinal Self-Supervision for COVID-19 Pathology Quantification. - Tobias Czempiel; Coco Rogers; Matthias Keicher; Magdalini Paschali; Rickmer Braren; Egon Burian; Marcus R. Makowski; Nassir Navab; Thomas Wendler 001; Seong Tae Kim 001 (CoRR, 2022)

Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models. - Ashkan Khakzar; Yawei Li; Yang Zhang; Mirac Sanisoglu; Seong Tae Kim 001; Mina Rezaei; Bernd Bischl; Nassir Navab (CoRR, 2022)

Robust Perturbation for Visual Explanation: Cross-Checking Mask Optimization to Avoid Class Distortion. - Junho Kim; Seongyeop Kim; Seong Tae Kim 001; Yong Man Ro (IEEE Trans. Image Process., 2022)

LINe: Out-of-Distribution Detection by Leveraging Important Neurons. - Yong Hyun Ahn; Gyeong-Moon Park; Seong Tae Kim 001 (CVPR, 2023)

Towards Robust Audio-Based Vehicle Detection Via Importance-Aware Audio-Visual Learning. - Jung Uk Kim; Seong Tae Kim 001 (ICASSP, 2023)

Toward Label-Efficient Neural Network Training: Diversity-Based Sampling in Semi-Supervised Active Learning. - Felix Buchert; Nassir Navab; Seong Tae Kim 001 (IEEE Access, 2023)

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans. - Michelle Xiao-Lin Foo; Seong Tae Kim 001; Magdalini Paschali; Leili Goli; Egon Burian; Marcus R. Makowski; Rickmer Braren; Nassir Navab; Thomas Wendler 001 (IEEE Access, 2023)

Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks. - Samra Irshad; Douglas P. S. Gomes; Seong Tae Kim 001 (IEEE Access, 2023)

Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking. - Ah-Hyung Shin; Seong Tae Kim 001; Gyeong-Moon Park (IEEE Access, 2023)

Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability. - Soyoun Won; Sung-Ho Bae; Seong Tae Kim 001 (CoRR, 2023)

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. - Chaoning Zhang; Chenshuang Zhang; Chenghao Li; Yu Qiao 004; Sheng Zheng; Sumit Kumar Dam; Mengchun Zhang; Jung Uk Kim; Seong Tae Kim 001; Jinwoo Choi 001; Gyeong-Moon Park; Sung-Ho Bae; et al. (CoRR, 2023)

A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions. - Muhammad Asif Razzaq; Jamil Hussain; Jaehun Bang; Cam-Hao Hua; Fahad Ahmed Satti; Ubaid Ur Rehman 002; Hafiz Syed Muhammad Bilal; Seong Tae Kim 001; Sungyoung Lee 001 (Sensors, 2023)

Exploiting recollection effects for memory-based video object segmentation. - Enki Cho; Minkuk Kim; Hyung-Il Kim; Jinyoung Moon; Seong Tae Kim 001 (Image Vis. Comput., 2023)

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 001 (CVPR, 2024)

Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval. - Minkuk Kim; Hyeon Bae Kim; Jinyoung Moon; Jinwoo Choi 001; Seong Tae Kim 001 (CVPR, 2024)

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. - Youngmin Oh; Hyung-Il Kim; Seong Tae Kim 001; Jung Uk Kim (ECCV (10), 2024)

Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models. - Musarrat Hussain; Ubaid Ur Rehman 002; Tri D. T. Nguyen; Sungyoung Lee 001; Seong Tae Kim 001; Sung-Ho Bae; Jung Uk Kim (ICMLA, 2024)

Dissecting Mixed-Sample Data Augmentation Models via Neural-concept Association. - Soyoun Won; Sung-Ho Bae; Seong Tae Kim 001 (ICOIN, 2024)

Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain. - Hyeon Bae Kim; Yong Hyun Ahn; Seong Tae Kim 001 (MICCAI (10), 2024)

Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering. - Su Hyeon Lim; Minkuk Kim; Hyeon Bae Kim; Seong Tae Kim 001 (CoRR, 2024)

Resource-Efficient Medical Report Generation using Large Language Models. - Abdullah; Ameer Hamza; Seong Tae Kim 001 (CoRR, 2024)

HiCM2: Hierarchical Compact Memory Modeling for Dense Video Captioning. - Minkuk Kim; Hyeon Bae Kim; Jinyoung Moon; Jinwoo Choi 001; Seong Tae Kim 001 (CoRR, 2024)

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. - Chu Myaet Thwal; Minh N. H. Nguyen; Ye Lin Tun 001; Seong Tae Kim 001; My T. Thai; Choong Seon Hong (Neural Networks, 2024)

LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies. - Ameer Hamza; Abdullah; Yong Hyun Ahn; Sungyoung Lee 001; Seong Tae Kim 001 (AAAI, 2025)

HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning. - Minkuk Kim; Hyeon Bae Kim; Jinyoung Moon; Jinwoo Choi 001; Seong Tae Kim 001 (AAAI, 2025)

PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition. - Jongseo Lee; Wooil Lee; Gyeong-Moon Park; Seong Tae Kim 001; Jinwoo Choi 001 (CVPR Workshops, 2025)

Teddysum at the NTCIR-18 HIDDEN-RAD Task: Using RAG andTree-of-Thought for Causal Explanation Generation. - Youngseob Won; Younggyun Hahm; Chanhyuk Yoon; Seong Tae Kim 001 (NTCIR, 2025)

Unified link prediction modeling for enhanced knowledge graph completion task. - Tri D. T. Nguyen; Ubaid Ur Rehman 002; Musarrat Hussain; Rao Faizan; Jamil Hussain; Sung-Ho Bae; Jung Uk Kim; Seong Tae Kim 001; Sungyoung Lee 001 (Expert Syst. Appl., 2025)

PRISM: Pseudo-Labeling and Region-Based Inpainting for Synthetic Change Detection Modeling. - Enki Cho; Soyoun Won; Sung-Sik Choo; Seong Tae Kim 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Effects of mixed sample data augmentation on interpretability of neural networks. - Soyoun Won; Sung-Ho Bae; Seong Tae Kim 001 (Neural Networks, 2025)

Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples. - Samra Irshad; Seungkyu Lee; Nassir Navab; Hong Joo Lee 001; Seong Tae Kim 001 (CoRR, 2025)

VLM-KG: Multimodal Radiology Knowledge Graph Generation. - Abdullah Abdullah; Seong Tae Kim 001 (CoRR, 2025)

Spatial Mask-Based Adaptive Robust Training for Video Object Segmentation With Noisy Labels. - Enki Cho; Jung Uk Kim; Seong Tae Kim 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series. - Min-Yeong Park; Won-Jeong Lee; Seong Tae Kim 001; Gyeong-Moon Park (CoRR, 2025)

SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition. - Ka Young Kim; Hyeon Bae Kim; Seong Tae Kim 001 (CoRR, 2025)

Towards Holistic Surgical Scene Graph. - Jongmin Shin; Enki Cho; Ka Young Kim; Jung Yong Kim; Seong Tae Kim 001; Namkee Oh (CoRR, 2025)

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. - Tobias Rueckert; David Rauber; Raphaela Maerkl; Leonard Klausmann; Suemeyye R. Yildiran; Max Gutbrod; Danilo Weber Nunes; Alvaro Fernandez Moreno; Imanol Luengo; Danail Stoyanov; Nicolas Toussaint; Enki Cho; et al. (CoRR, 2025)