Seong Tae Kim

112 papers A* 9A 2B 2C 1Misc 2Journal 69Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.
Medical Image Anal.
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, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2026 J jnl
Learning to Abstain: Reliable Medical Image Segmentation With Rejection Option.
IEEE Access
Mirac Sanisoglu, Nassir Navab, Seong Tae Kim
2026 A* conf
Leveraging Textual Compositional Reasoning for Robust Change Captioning.
AAAI
Kyu Ri Park, Jiyoung Park, Seong Tae Kim, Hong Joo Lee, Jung Uk Kim
2026 J jnl
Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation.
Medical Image Anal.
Hong Joo Lee, Yuan Bi, Sangmin Lee, Gyeong-Moon Park, Jung Uk Kim, Seong Tae Kim, Zhongliang Jiang, Nassir Navab
2025 J jnl
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples.
CoRR
Samra Irshad, Seungkyu Lee, Nassir Navab, Hong Joo Lee, Seong Tae Kim
2025 J jnl
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.
CoRR
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, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2025 J jnl
Disentangled Concepts Speak Louder Than Words:Explainable Video Action Recognition.
CoRR
Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
2025 J jnl
Effects of mixed sample data augmentation on interpretability of neural networks.
Neural Networks
Soyoun Won, Sung-Ho Bae, Seong Tae Kim
2025 J jnl
HERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization.
CoRR
Joohyun Chang, Soyeon Hong, Hyogun Lee, Seong Jong Ha, Dongho Lee, Seong Tae Kim, Jinwoo Choi
2025 A* conf
HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning.
AAAI
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim
2025 A* conf
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies.
AAAI
Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim
2025 J jnl
Leveraging Textual Compositional Reasoning for Robust Change Captioning.
CoRR
Kyu Ri Park, Jiyoung Park, Seong Tae Kim, Hong Joo Lee, Jung Uk Kim
2025 — conf
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition.
CVPR Workshops
Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
2025 J jnl
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition.
CoRR
Jongseo Lee, Wooil Lee, Gyeong-Moon Park, Seong Tae Kim, Jinwoo Choi
2025 — conf
PRADA: Protecting and Detecting Dataset Abuse for Open-Source Medical Dataset.
MICCAI (14)
Jinhyeok Jang, Hong Joo Lee, Nassir Navab, Seong Tae Kim
2025 J jnl
PRISM: Pseudo-Labeling and Region-Based Inpainting for Synthetic Change Detection Modeling.
IEEE Geosci. Remote. Sens. Lett.
Enki Cho, Soyoun Won, Sung-Sik Choo, Seong Tae Kim
2025 J jnl
Spatial Mask-Based Adaptive Robust Training for Video Object Segmentation With Noisy Labels.
IEEE Trans. Circuits Syst. Video Technol.
Enki Cho, Jung Uk Kim, Seong Tae Kim
2025 — conf
SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition.
MICCAI (10)
Ka Young Kim, Hyeon Bae Kim, Seong Tae Kim
2025 J jnl
SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition.
CoRR
Ka Young Kim, Hyeon Bae Kim, Seong Tae Kim
2025 — conf
TECIS: Text-Enhanced Cross-Modal Instrument Segmentation in Surgical Video.
ICIPW
Hyeon Bae Kim, Eunki Cho, Jung Uk Kim, Seong Tae Kim
2025 — conf
Teddysum at the NTCIR-18 HIDDEN-RAD Task: Using RAG andTree-of-Thought for Causal Explanation Generation.
NTCIR
Youngseob Won, Younggyun Hahm, Chanhyuk Yoon, Seong Tae Kim
2025 — conf
Towards Holistic Surgical Scene Graph.
MICCAI (9)
Jongmin Shin, Enki Cho, Ka Young Kim, Jung Yong Kim, Seong Tae Kim, Namkee Oh
2025 J jnl
Towards Holistic Surgical Scene Graph.
CoRR
Jongmin Shin, Enki Cho, Ka Young Kim, Jung Yong Kim, Seong Tae Kim, Namkee Oh
2025 J jnl
Understanding adversarial robustness of deep neural networks via decision reliance.
Image Vis. Comput.
Soyoun Won, Hyeon Bae Kim, Yong Hyun Ahn, Hong Joo Lee, Seong Tae Kim
2025 J jnl
Unified link prediction modeling for enhanced knowledge graph completion task.
Expert Syst. Appl.
Tri D. T. Nguyen, Ubaid Ur Rehman, Musarrat Hussain, Rao Faizan, Jamil Hussain, Sung-Ho Bae, Jung Uk Kim, Seong Tae Kim, Sungyoung Lee
2025 J jnl
VLM-KG: Multimodal Radiology Knowledge Graph Generation.
CoRR
Abdullah Abdullah, Seong Tae Kim
2025 A* conf
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series.
ICML
Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park
2025 J jnl
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series.
CoRR
Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park
2024 C conf
Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models.
ICMLA
Musarrat Hussain, Ubaid Ur Rehman, Tri D. T. Nguyen, Sungyoung Lee, Seong Tae Kim, Sung-Ho Bae, Jung Uk Kim
2024 — conf
Dissecting Mixed-Sample Data Augmentation Models via Neural-concept Association.
ICOIN
Soyoun Won, Sung-Ho Bae, Seong Tae Kim
2024 A* conf
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval.
CVPR
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim
2024 J jnl
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval.
CoRR
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim
2024 J jnl
HiCM
CoRR
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon, Jinwoo Choi, Seong Tae Kim
2024 J jnl
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies.
CoRR
Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim
2024 — conf
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain.
MICCAI (10)
Hyeon Bae Kim, Yong Hyun Ahn, Seong Tae Kim
2024 J jnl
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain.
CoRR
Hyeon Bae Kim, Yong Hyun Ahn, Seong Tae Kim
2024 — conf
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection.
ECCV (10)
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim
2024 J jnl
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection.
CoRR
Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim
2024 J jnl
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.
CoRR
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
2024 J jnl
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.
Neural Networks
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
2024 J jnl
Resource-Efficient Medical Report Generation using Large Language Models.
CoRR
Abdullah, Ameer Hamza, Seong Tae Kim
2024 J jnl
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering.
CoRR
Su Hyeon Lim, Minkuk Kim, Hyeon Bae Kim, Seong Tae Kim
2024 J jnl
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts.
CoRR
Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim
2024 A* conf
WWW: A Unified Framework for Explaining what, Where and why of Neural Networks by Interpretation of Neuron Concepts.
CVPR
Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim
2023 J jnl
A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions.
Sensors
Muhammad Asif Razzaq, Jamil Hussain, Jaehun Bang, Cam-Hao Hua, Fahad Ahmed Satti, Ubaid Ur Rehman, Hafiz Syed Muhammad Bilal, Seong Tae Kim, Sungyoung Lee
2023 J jnl
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability.
CoRR
Soyoun Won, Sung-Ho Bae, Seong Tae Kim
2023 J jnl
Exploiting recollection effects for memory-based video object segmentation.
Image Vis. Comput.
Enki Cho, Minkuk Kim, Hyung-Il Kim, Jinyoung Moon, Seong Tae Kim
2023 J jnl
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks.
IEEE Access
Samra Irshad, Douglas P. S. Gomes, Seong Tae Kim
2023 J jnl
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans.
IEEE Access
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
2023 A* conf
LINe: Out-of-Distribution Detection by Leveraging Important Neurons.
CVPR
Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
2023 J jnl
LINe: Out-of-Distribution Detection by Leveraging Important Neurons.
CoRR
Yong Hyun Ahn, Gyeong-Moon Park, Seong Tae Kim
2023 J jnl
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR
Chaoning Zhang, Chenshuang Zhang, Chenghao Li, Yu Qiao, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong
2023 J jnl
Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking.
IEEE Access
Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park
2023 J jnl
Toward Label-Efficient Neural Network Training: Diversity-Based Sampling in Semi-Supervised Active Learning.
IEEE Access
Felix Buchert, Nassir Navab, Seong Tae Kim
2023 Misc conf
Towards Robust Audio-Based Vehicle Detection Via Importance-Aware Audio-Visual Learning.
ICASSP
Jung Uk Kim, Seong Tae Kim
2022 J jnl
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models.
CoRR
Ashkan Khakzar, Yawei Li, Yang Zhang, Mirac Sanisoglu, Seong Tae Kim, Mina Rezaei, Bernd Bischl, Nassir Navab
2022 B conf
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning.
ICPR
Felix Buchert, Nassir Navab, Seong Tae Kim
2022 J jnl
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning.
CoRR
Felix Buchert, Nassir Navab, Seong Tae Kim
2022 J jnl
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks.
CoRR
Samra Irshad, Douglas P. S. Gomes, Seong Tae Kim
2022 J jnl
Longitudinal Self-Supervision for COVID-19 Pathology Quantification.
CoRR
Tobias Czempiel, Coco Rogers, Matthias Keicher, Magdalini Paschali, Rickmer Braren, Egon Burian, Marcus R. Makowski, Nassir Navab, Thomas Wendler, Seong Tae Kim
2022 J jnl
Robust Perturbation for Visual Explanation: Cross-Checking Mask Optimization to Avoid Class Distortion.
IEEE Trans. Image Process.
Junho Kim, Seongyeop Kim, Seong Tae Kim, Yong Man Ro
2022 J jnl
Theory, Applications, and Challenges of Cyber-Physical Systems 2021.
Complex.
Hang Su, Bo Xiao, Mingchuan Zhou, Wen Qi, Juan Sandoval, Seong Tae Kim
2021 — conf
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation.
ISBI
Tetiana Klymenko, Seong Tae Kim, Kirsten Lauber, Christopher Kurz, Guillaume Landry, Nassir Navab, Shadi Albarqouni
2021 — conf
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.
MICCAI (3)
Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab
2021 J jnl
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.
CoRR
Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab
2021 A* conf
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
NeurIPS
Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab
2021 J jnl
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
CoRR
Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab
2021 J jnl
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans.
CoRR
Michelle Xiao-Lin Foo, Seong Tae Kim, Magdalini Paschali, Leili Goli, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler
2021 J jnl
Longitudinal Brain MR Image Modeling Using Personalized Memory for Alzheimer's Disease.
IEEE Access
Seong Tae Kim, Umut Küçükaslan, Nassir Navab
2021 — conf
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs.
MICCAI (7)
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler
2021 A* conf
Neural Response Interpretation Through the Lens of Critical Pathways.
CVPR
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab
2021 J jnl
Neural Response Interpretation through the Lens of Critical Pathways.
CoRR
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab
2021 — conf
OperA: Attention-Regularized Transformers for Surgical Phase Recognition.
MICCAI (4)
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab
2021 — conf
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models.
MICCAI (3)
Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab
2021 J jnl
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models.
CoRR
Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab
2020 J jnl
Confident Coreset for Active Learning in Medical Image Analysis.
CoRR
Seong Tae Kim, Farrukh Mushtaq, Nassir Navab
2020 J jnl
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation.
CoRR
Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Nassir Navab, Yong Man Ro
2020 J jnl
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level".
CoRR
Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong-Ping Zheng, Nassir Navab
2020 J jnl
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level".
IEEE Robotics Autom. Lett.
Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong-Ping Zheng, Nassir Navab
2020 J jnl
Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network.
IEEE Trans. Circuits Syst. Video Technol.
Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2020 J jnl
Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers.
Image Vis. Comput.
Leslie Ching Ow Tiong, Seong Tae Kim, Yong Man Ro
2020 A conf
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack.
BMVC
Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro
2020 J jnl
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack.
CoRR
Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro
2020 J jnl
Self-Supervised Out-of-Distribution Detection in Brain CT Scans.
CoRR
Abinav Ravi Venkatakrishnan, Seong Tae Kim, Rami Eisawy, Franz Pfister, Nassir Navab
2020 J jnl
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation.
CoRR
Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab
2020 J jnl
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks.
CoRR
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
2020 — conf
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks.
MICCAI (3)
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab
2020 Misc conf
Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation.
ICASSP
Jung Uk Kim, Seong Tae Kim, Eun Sung Kim, Sang-Keun Moon, Yong Man Ro
2019 J jnl
Attended Relation Feature Representation of Facial Dynamics for Facial Authentication.
IEEE Trans. Inf. Forensics Secur.
Seong Tae Kim, Yong Man Ro
2019 — conf
Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis.
ICCV Workshops
Hyebin Lee, Seong Tae Kim, Yong Man Ro
2019 J jnl
Explaining Neural Networks via Perturbing Important Learned Features.
CoRR
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Seong Tae Kim, Nassir Navab
2019 — conf
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis.
iMIMIC/ML-CDS@MICCAI
Hyebin Lee, Seong Tae Kim, Yong Man Ro
2019 J jnl
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis.
CoRR
Hyebin Lee, Seong Tae Kim, Yong Man Ro
2019 J jnl
Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion.
Multim. Tools Appl.
Leslie Ching Ow Tiong, Seong Tae Kim, Yong Man Ro
2019 B conf
Probenet: Probing Deep Networks.
ICIP
Jae-Hyeok Lee, Seong Tae Kim, Yong Man Ro
2019 — conf
Realistic Breast Mass Generation Through BIRADS Category.
MICCAI (6)
Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
2019 — conf
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis.
Computer-Aided Diagnosis
Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro
2018 — conf
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN.
MMM (1)
Tae Kwan Lee, Wissam J. Baddar, Seong Tae Kim, Yong Man Ro
2018 — conf
Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?
ECCV (12)
Seong Tae Kim, Yong Man Ro
2018 — conf
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.
ECCV Workshops (6)
Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2018 J jnl
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.
CoRR
Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro
2018 J jnl
ICADx: Interpretable computer aided diagnosis of breast masses.
CoRR
Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro
2018 — conf
ICADx: interpretable computer aided diagnosis of breast masses.
Computer-Aided Diagnosis
Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro
2018 — conf
Teacher and Student Joint Learning for Compact Facial Landmark Detection Network.
MMM (1)
Hong Joo Lee, Wissam J. Baddar, Hak Gu Kim, Seong Tae Kim, Yong Man Ro
2017 A conf
Adaptive attention fusion network for visual question answering.
ICME
Geonmo Gu, Seong Tae Kim, Yong Man Ro
2017 J jnl
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN.
CoRR
Tae Kwan Lee, Wissam J. Baddar, Seong Tae Kim, Yong Man Ro
2017 J jnl
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data.
CoRR
Geonmo Gu, Seong Tae Kim, Ki Hyun Kim, Wissam J. Baddar, Yong Man Ro
2017 J jnl
EvaluationNet: Can Human Skill be Evaluated by Deep Networks?
CoRR
Seong Tae Kim, Yong Man Ro
2017 J jnl
Interpretable Facial Relational Network Using Relational Importance.
CoRR
Seong Tae Kim, Yong Man Ro
2017 — conf
Multi-Scale Facial Scanning via Spatial Lstm for Latent Facial Feature Representation.
BIOSIG
Seong Tae Kim, Yeoreum Choi, Yong Man Ro
2015 — conf
Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection.
Computer-Aided Diagnosis
Seong Tae Kim, Dae Hoe Kim, Yong Man Ro
2015 — conf
Feature extraction from inter-view similarity of DBT projection views.
Computer-Aided Diagnosis
Dae Hoe Kim, Seong Tae Kim, Yong Man Ro