2024 Seminar

Speaker : Hoyeon Lee
Topic :  A Decoder-only Foundation Model for Time-series Forecasting 
Date : 2024/07/11
Time : 20:00~

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Speaker : Dong Hwan Kim
Topic : Why Normalizing Flows Fail to Detect Out-of-Distribution Data? 
Date : 2024/07/02
Time : 19:30~

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Speaker : Dong Hwan Kim
Topic : Do Deep Generative Models Know What They Don t Know? 
Date : 2024/07/02
Time : 19:00~

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Speaker : Harin Lim
Topic : Fully unsupervised Online Defect detection  
Date : 2024/06/26
Time : 13:30~

Speaker : Gaeun Kim
Topic :  Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
Date : 2024/06/26
Time : 13:00~

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Speaker :Youngje Oh
Topic : A Review of Graph Neural Networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Date : 2024/06/18
Time : 19:20~

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Speaker : Seoyoon Jang
Topic : AnoPL: Few-Normal-Shot Anomaly Detection via Bi-directional Multi-Modal Prompt Learning
Date : 2024/06/04
Time : 19:30~

Speaker :Jaehwi Jeon
Topic : Unsupervised Medical Image Translation With Adversarial Diffusion Models
Date : 2024/06/04
Time : 19:00~

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Speaker : Jahoon Jeong  
Topic :  TANet: Tri-Aspect Network for Camouflaged Object Detection
Date : 2024/05/28
Time : 19:40~

Speaker :Yu jun Yang
Topic : Unsupervised Multi-source Domain Adaptation in Cross-Machine Scenario with Mixed Heterogeneity
Date : 2024/05/28
Time : 19:20~


Speaker : Yongmin Kim
Topic : 샘플 불균형에 강건한 비지도 도메인 적응 기반 베어링 결함 진단
Date : 2024/05/28
Time : 19:00~

Speaker :Joohoon Lee
Topic : Unsupervised Medical Image Translation With Adversarial Diffusion Models
Date : 2024/05/21
Time : 19:30~

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Speaker : Junkyo Shim
Topic :  CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Date : 2024/05/21
Time : 19:00~

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Speaker :Jihun Han
Topic : SIMPER: Simple Self-Supervised Learning of Periodic Targets
Date : 2024/05/13
Time : 19:00~

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Speaker : Joohoon Lee
Topic : 디퓨전 모델을 사용한 심장  초음파  이미지 변환
Date : 2024/05/02
Time : 10:30~

Speaker :Jaehwi Jeon
Topic : Differential Diagnosis of Left Ventricular Hypertrophy via Video Foundation Model
Date : 2024/05/02
Time : 10:00~

Speaker : Jaehee Won
Topic :  멀티모달 데이터 기반 대규모 언어 모델(LLM)을 이용한 주가 수익률 예측 연구
Date : 2024/05/03
Time : 09:30~

Speaker :Jihun Han
Topic : Self-supervised Learning for Remaining Useful Life Prediction
Date : 2024/05/02
Time : 10:00~

Speaker : Seo Yoon Jang
Topic : AnoPT: Few-Normal-Shot Anomaly Detection via Prompt Tuning
Date : 2024/05/02
Time : 09:30~

Speaker : Youngje Oh  
Topic : 도메인 일반화 방법론을 이용한 잔존 유효 수명 예측 고도화
Date : 2024/05/02
Time : 09:00~

Speaker : Beomgyo Shin  
Topic :Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
Date : 2024/04/16
Time : 19:30~

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Speaker :Yu Jun Yang  
Topic : Single Source Domain Generalization
Date : 2024/04/16
Time : 19:00~

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Speaker : Youngje Oh  
Topic : Randomized Adversarial Style Perturbations for Domain Generalization
Date : 2024/04/02
Time : 19:30~

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Speaker : Yongmin Kim  
Topic : Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis
Date : 2024/04/02
Time : 19:00~

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Speaker : Jahoon Jeong
Topic :Feature Shrinkage Pyramid for Camouflaged  Object Detection with Transformers
Date : 2024/03/26
Time : 19:30~

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Speaker : Hoyeon Lee
Topic : Domain Generalization with Correlated Style Uncertainty
Date : 2024/03/26
Time : 19:00~

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Speaker : Dong Hwan Kim  
Topic : Deep Orthogonal Hypersphere Compression for Anomaly Detection Understanding
Date : 2024/03/19
Time : 19:30~

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Speaker : Harin Lim
Topic : Unsupervised Melody-to-Lyric Generation
Date : 2024/03/19
Time : 19:00~

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Speaker : Sewon Kim
Topic : Semantic Image Synthesis via Diffusion Models
Date : 2024/03/11
Time : 17:00~

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Speaker : Gaeun Kim
Topic : V-JEPA: LatentVideoPrediction For Visual Representation Learning
Date : 2024/03/04
Time : 17:30~

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Speaker : Jaehwi Jeon
Topic : VideoPrism: A Foundational Visual Encoder for Video Understanding
Date : 2024/03/04
Time : 17:00~

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Speaker : Seo Yoon Jang
Topic : Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Date : 2024/02/26
Time : 19:30~

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Speaker : Junkyo Shim
Topic : MVSS-Net: Multi-View Multi-ScaleSupervised Networks forImage Manipulation Detection
Date : 2024/02/26
Time : 19:00~

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Speaker : Jihun Han
Topic : Echo-SyncNet
Date : 2024/02/19
Time : 17:30~

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Speaker : Joohoon Lee
Topic : A Latent Space of Stochastic Diffusion Models forZero-Shot Image Editing and Guidance
Date : 2024/02/19
Time : 17:00~

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Speaker :  Yu jun Yang
Topic :Semi-Supervised Domain Generalizationwith Evolving Intermediate Domain
Date : 2024/02/13
Time : 19:30~

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Speaker : Beomgyo Shin
Topic : Segment anything in medical images
Date : 2024/02/13
Time : 19:00~

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Speaker : Yongmin Kim
Topic : Meta-Transfer Learning for Zero-Shot Super-Resolution
Date : 2024/02/05
Time : 17:30~

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Speaker : Youngje Oh
Topic : Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
Date : 2024/02/05
Time : 17:00~

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Speaker : Sewon Kim
Topic : Pseudo-label Guided Contrastive Learning

for Semi-supervised

Medical Image Segmentation
Date : 2024/01/29
Time : 17:00~

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Speaker : Gaeun Kim
Topic : Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Date : 2024/01/22
Time : 17:30~

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Speaker : Jaehwi Jeon
Topic : Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
Date : 2024/01/22
Time : 17:00~

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Speaker : Seo Yoon Jang
Topic : ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection
Date : 2024/01/15
Time : 17:30~

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Speaker : Yu jun Yang
Topic : AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
Date : 2024/01/15
Time : 17:00~

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Speaker : Jihun Han
Topic : FlexPredictSelf-Supervised Learning
Date : 2024/01/08
Time : 17:30~

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Speaker : Joohoon Lee
Topic : “Blind”Harmonization for MR Images via Flow model
Date : 2024/01/08
Time : 17:00~

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Speaker : Junkyo Shim
Topic : Noise2Noise: Learning Image Restoration without Clean Data
Date : 2024/01/03
Time : 17:30~

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Speaker : Yujin Lee
Topic : DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Date : 2024/01/03
Time : 17:00~

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