Seong Tae Kim
17 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (5)
💎
Century Club · Bronze
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Keyword Collector
(59)
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The Questioner
(3)
⚡
Prolific Year · Productive
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(5)
Natural Language Processing
(4)
Core Methods
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Keywords
feature attribution
(2)
shapley value
(2)
vision-language model
(2)
video understanding
(2)
dense video captioning
(2)
sparse representation
(1)
memory recall
(1)
domain adaptation
(1)
natural language generation
(1)
information bottleneck
(1)
network pruning
(1)
cross-modal retrieval
(1)
medical report generation
(1)
neural network interpretability
(1)
time series
(1)
prototype learning
(1)
feature representation
(1)
knowledge graph
(1)
adversarial attack
(1)
uncertainty quantification
(1)
Papers
FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift
CVPR 2026
Leveraging Textual Compositional Reasoning for Robust Change Captioning
AAAI 2026
No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation
MIDL 2026
HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning
AAAI 2025
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies
AAAI 2025
PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset
MICCAI 2025
SurgX: Neuron-Concept Association for Explainable Surgical Phase Recognition
MICCAI 2025
Towards Holistic Surgical Scene Graph
MICCAI 2025
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
ICML 2025
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
CVPR 2024
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
MICCAI 2024
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
ECCV 2024
WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts
CVPR 2024
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
CVPR 2023
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
NeurIPS 2021
Neural Response Interpretation Through the Lens of Critical Pathways
CVPR 2021
Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?
ECCV 2018