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Korea AI Labs

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Anomaly Detection · 연구실 40곳 · 논문 102편

다른 주제·대학과 함께 찾기
POSTECH5/15
KU6/23
Yonsei6/37
KAIST12/57
SNU11/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. SNU데이터 마이닝

    강필성DSBA Lab

    관련 논문 12편비중 29%
    • 2026COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection NeurIPS
    • 2026DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection ECCV
    • 2026Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection Computer Vision and Image Understanding
  2. SNU데이터 마이닝

    유재민Data AI Lab

    관련 논문 6편비중 22%연구 분야에 명시
    • 2025Self-Tuning Self-Supervised Image Anomaly Detection KDD
    • 2025TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly Detection SDM
    • 2024Rethinking Reconstruction-based Graph-level Anomaly Detectors: Limitations and a Remedy NeurIPS
  3. KAIST머신러닝

    김희영Engineering Data Science Lab

    관련 논문 5편비중 16%연구 분야에 명시
    • 2026GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection CIKM
    • 2026Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes IEEE TASE
    • 2023Contextual anomaly detection for high-dimensional data using Dirichlet process variational autoencoder IISE Transactions
  4. Yonsei데이터 마이닝

    박상현DELAB

    관련 논문 7편비중 15%
    • 2026AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM WACV
    • 2026Unified Video Anomaly Detection Model for Detecting Different Anomaly Types WACV
    • 2025MDVAD: Multimodal Diffusion for Video Anomaly Detection PAKDD
  5. SNU데이터 마이닝

    박현우DIAL Lab

    관련 논문 5편비중 13%
    • 2026Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies KDD
    • 2026Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems ICML
    • 2025STGVAD: Spatio-Temporal Graph-based Vessel Behavior Anomaly Detection IEEE Access
  6. KAIST데이터 마이닝

    박노성BigDyL

    관련 논문 6편비중 8%
    • 2026Point-wise Anomaly Detection via Fold-bifurcation ODE ICLR
    • 2025FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality Features AAAI
    • 2025FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features AAAI
  7. SNU머신러닝

    윤성로AI Lab

    관련 논문 5편비중 5%
    • 2026CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution Shift AAAI
    • 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML
    • 2024CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection CIKM
  8. KU머신러닝

    정종헌TAIL

    관련 논문 2편비중 9%연구 분야에 명시
    • 2024Few-shot Anomaly Detection via Personalization IEEE Access
    • 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR
  9. Yonsei머신러닝

    조성배SCLAB

    관련 논문 4편비중 6%
    • 2026Hyperbolic Spatio-Temporal Representation Learning for Unsupervised Video Anomaly Detection ICPR
    • 2025Unsupervised Video Anomaly Detection by Memory Network with Autoencoders in Euclidean and Non-Euclidean Spaces Pattern Recognition
    • 2024Multi-Instance Attention Network for Anomaly Detection from Multivariate Time Series Cybernetics and Systems
  10. KAIST데이터 마이닝

    이재길Data Mining Lab

    관련 논문 4편비중 10%
    • 2025Neural Architecture Search for Anomaly Detection in Multivariate Time Series IEEE TETCI
    • 2024Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection WWW
    • 2023Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses ECML-PKDD
  11. KAIST컴퓨터 비전

    김승룡CV Lab

    관련 논문 2편비중 2%
    • 2026CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-Based Anomaly Synthesis AAAI
    • 2026RobustVGGT: Emergent Outlier View Rejection in Visual Geometry Grounded Transformers CVPR
  12. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 3편비중 2%
    • 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection NeurIPS
    • 2024When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection AAAI
    • 2023Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation WACV
  13. KU머신러닝

    이성환PRML Lab

    관련 논문 3편비중 2%
    • 2025Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers IEEE TNNLS
    • 2024Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection Information Sciences
    • 2023Dissimilate-and-assimilate strategy for video anomaly detection and localization Neurocomputing
  14. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 3편비중 3%
    • 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS
    • 2024SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning KDD
    • 2024Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection Data Mining and Knowledge Discovery
  15. POSTECH음성·오디오

    서영주AIoT Lab

    관련 논문 2편비중 6%
    • 2025Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems with Prototype Learning IEEE Access
    • 2025MIRA: A Transformer-Based Framework for Idler Roller Anomaly Detection and Localization Sensors
  16. SNUAI for Science

    김경수AIBL

    관련 논문 2편비중 6%
    • 2026Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation Scientific Reports
    • 20233D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography Expert Systems with Applications
  17. KAIST머신러닝

    신진우ALIN Lab

    관련 논문 3편비중 2%
    • 2025CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection TMLR
    • 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR
    • 2023Few-shot Anomaly Detection via Personalization ICML
  18. KU인간-AI 상호작용

    서승호HUI

    관련 논문 2편비중 3%
    • 2025SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications WACV
    • 2024An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns IEEE Transactions on Device and Materials Reliability
  19. KAIST데이터 마이닝

    황지영Big Data Intelligence Lab

    관련 논문 2편비중 10%
    • 2025Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors AAAI
    • 2023Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection ICDM
  20. SNU머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련 논문 2편비중 5%
    • 2025Enhancing Wafer Probing With SwinProbeFormer: Self-Supervised Anomaly Detection via Window-Based Swin Transformer IEEE Access
    • 2023AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme ICLR
  21. KU컴퓨터 비전

    박경문VGI Lab

    관련 논문 2편비중 4%
    • 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series ICML
    • 2023Time Series Anomaly Detection using Transformer-based GAN with Two-Step Masking IEEE Access
  22. KU머신러닝

    이창희AIX

    관련 논문 2편비중 5%
    • 2024Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies CIKM
    • 2024Time-series Anomaly Detection based on Imputation in the Latent Space ICTC
  23. POSTECH머신러닝

    이남훈Computational Optimization Lab

    관련 논문 1편비중 4%
    • 2026Advancing Semiconductor Inspection: A New Dataset and Approach for Robust Anomaly Detection with Large Vision Language Models BMVC
  24. POSTECH데이터 마이닝

    한욱신Data Systems Lab

    관련 논문 1편비중 4%
    • 2025MAD: Multimodal Framework for Adaptive Time-Series Anomaly Detection IEEE BigData
  25. SNUAI 시스템

    김재준VLSI Lab

    관련 논문 1편비중 2%
    • 2025Integer Unit-based Outlier-Aware LLM Accelerator Preserving Numerical Accuracy of FP-FP GEMM DATE
  26. KAIST컴퓨터 비전

    김준모SIIT Lab

    관련 논문 1편비중 1%
    • 2025DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV
  27. SNU머신러닝

    김용대IDEA Lab

    관련 논문 1편비중 4%
    • 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models ICML
  28. KU로보틱스

    최성준Robot Intelligence Lab

    관련 논문 1편비중 3%
    • 2024Generalized Outlier Exposure: Towards a Trustworthy Out-of-Distribution Detector without Sacrificing Accuracy Neurocomputing
  29. Yonsei컴퓨터 비전

    이종석MCML Group

    관련 논문 1편비중 3%
    • 2024Anomaly score: Evaluating generative models and individual generated images based on complexity and vulnerability CVPR
  30. SNU인간-AI 상호작용

    서봉원Human Centered Computing Lab

    관련 논문 1편비중 2%
    • 2024LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection CIKM
  31. POSTECH머신러닝

    이재호EffL Lab

    관련 논문 1편비중 3%
    • 2024Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization EMNLP
  32. YonseiAI 시스템

    김상엽EASY Lab

    관련 논문 1편비중 2%
    • 2024NeRF-Navi: A 93.6-202.9μJ/task Switchable Approximate-Accurate NeRF Path Planning Processor with Dual Attention Engine and Outlier Bit-Offloading Core VLSI Symposium
  33. Yonsei컴퓨터 비전

    박은병V-Lab

    관련 논문 1편비중 3%
    • 2024Continuous Memory Representation for Anomaly Detection ECCV
  34. SNU로보틱스

    박종우FCP Robotics Lab

    관련 논문 1편비중 5%
    • 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS
  35. SNU머신러닝

    송현오Machine Learning Lab

    관련 논문 1편비중 6%
    • 2023Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NeurIPS
  36. YonseiAI 시스템

    차호정MOBED

    관련 논문 1편비중 5%
    • 2023Detecting Structural Anomalies of Quadcopter UAVs based on LSTM Autoencoder Pervasive and Mobile Computing
  37. KAIST컴퓨터 비전

    김태균CV & Learning Lab

    관련 논문 1편비중 3%
    • 2023Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images MVA
  38. KAIST데이터 마이닝

    박찬영DSAIL

    관련 논문 1편비중 1%
    • 2023Class Label-aware Graph Anomaly Detection CIKM
  39. KAIST컴퓨터 비전

    오태현AMI Lab

    관련 논문 1편비중 1%
    • 2023An Iterative Method for Unsupervised Robust Anomaly Detection under Data Contamination IEEE TNNLS
  40. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 1편비중 1%
    • 2023Activity-informed Industrial Audio Anomaly Detection via Source Separation ICASSP