2024 Seminar

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 Learningfor 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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