2024 Seminar
Speaker : Harin Lim
Topic : Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning
Date : 2024/11/29
Time : 09:30~
Speaker : Jihun Han
Topic: TIME-LLM Time Series Forecasting by Reprogramming Large Language Models
Date : 2024/11/22
Time : 10:00~
Speaker : Seoyoon Jang
Topic : IMAGEBIND : One Embedding Space To Bind Them All
Date : 2024/11/22
Time : 09:30~
Speaker : Beomgyo Shin
Topic : SAM-Driven Explainable and Uncertainty-Aware Automatic Measurement Model in Echocardiography
Date : 2024/11/15
Time : 10:00~
Speaker : Yujun Yang
Topic : Universal Domain Adaptation
Date : 2024/11/15
Time : 09:30~
Speaker : Jiwon Kim
Topic: Visual Instruction Tuning
Date : 2024/11/01
Time : 10:00~
Speaker : Yongmin Kim
Topic : WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Date : 2024/11/01
Time : 09:30~
Speaker : Gaeun Kim
Topic : Self-Supervised Learning for Generalized Representations in Echocardiographic Multi-Task Applications
Date : 2024/10/25
Time : 15:00~
Speaker : Dong Hwan Kim
Topic : Challenging the Counterintuitive: Revisiting Simple Likelihood Tests with Normalizing Flows for Tabular Data Anomaly Detection
Date : 2024/10/24
Time : 13:30~
Speaker : Seoyoon Jang
Topic : AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
Date : 2024/10/24
Time : 13:00~
Speaker : Beomgyo Shin
Topic : SAM-Driven Explainable and Uncertainty-Aware Automatic Measurement Model in Echocardiography
Date : 2024/10/22
Time : 17:00~
Speaker : Yujun Yang
Topic : Unsupervised Multi-Source Domain Adaptation in Cross-Machine Scenario with Mixed Heterogeneity
Date : 2024/10/22
Time : 08:00~
Speaker : Youngje Oh
Topic : Leveraging Domain Generalization for Improved Estimation of Remaining Useful Life
Date : 2024/10/21
Time : 09:00~
Speaker : Yongmin Kim
Topic :Balanced Cross-Domain Fault Diagnosis Method in Rotating Machinery with Imbalanced Data
Date : 2024/10/21
Time : 08:30~
Speaker : Hoyeon Lee
Topic :A Multi-Source Domain Generalization Method for Intelligent Fault Diagnosis Based on Domain Meta-Information
Date : 2024/10/21
Time : 08:00~
Speaker : Yujin Lee
Topic : Multi-Class Anomaly Detection in ECCV 2024
Date : 2024/10/04
Time : 10:00~
KFAI_Seminar_20241004_권예진.pdfSpeaker : Yejin Kwon
Topic : All about RAG (Retrieval-Augmented Generation)
Date : 2024/10/04
Time : 09:30~
KFAI_Seminar_20240927_정자훈.pdfSpeaker : Jahoon Jeong
Topic : Understanding Different Design Choices in Training Large Time Series Models
Date : 2024/09/27
Time : 10:00~
KFAI_Seminar_20240927_정병주.pdfSpeaker : Byung Joo Jeong
Topic : SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Date : 2024/09/27
Time : 09:30~
KFAI_Seminar_20240920_김동환.pdfSpeaker : Dong Hwan Kim
Topic : Understanding Failures in Out-of-distribution Detection with Deep Generative Models
Date : 2024/09/20
Time : 10:00~
KFAI_seminar_20240920_이호연.pdfSpeaker : Hoyeon Lee
Topic : Curriculum learning-based domain generalization for cross-domain fault diagnosis with category shift
Date : 2024/09/20
Time : 09:30~
KFAI_seminar_20240913_김세원.pdfSpeaker : Sewon Kim
Topic : BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Date : 2024/09/13
Time : 10:00~
KFAI_세미나_0913_임하린.pdfSpeaker : Harin Lim
Topic : MuSc: Zero-shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Date : 2024/09/13
Time : 09:30~
KFAI_seminar_240830_전재휘.pdfSpeaker : Jaehwi Jeon
Topic : No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
Date : 2024/08/30
Time : 19:30~
Speaker : Seoyoon Jang
Topic : AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Date : 2024/08/30
Time : 19:00~
Speaker : Jihun Han
Topic : Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Date : 2024/08/22
Time : 19:00~
Speaker : Youngje Oh
Topic : Causal intervention graph neural network for fault diagnosis of complex industrial processes
Date : 2024/08/13
Time : 19:00~
Speaker : Gaeun Kim
Topic : Efficient Coding of Natural Images using Maximum Manifold Capacity Representations
Date : 2024/08/13
Time : 19:30~
Speaker : Yu jun Yang
Topic : Domain Generalization using Causal Matching
Date : 2024/08/01
Time : 19:00~
Speaker : Jahoon Jeong
Topic : SimUV-Net : A Novel Approach for Fire Detection Leveraging Supervised Contrastive Learning
Date : 2024/07/19
Time : 19:30~
Speaker : Beomgyo Shin
Topic : Bounding Box Regression with Uncertainty for Accurate Object Detection
Date : 2024/07/19
Time : 19:00~
Speaker : Sewon Kim
Topic : Guiding a Diffusion Model with a Bad Version of Itself
Date : 2024/07/11
Time : 20:30~
Speaker : Hoyeon Lee
Topic : A Decoder-only Foundation Model for Time-series Forecasting
Date : 2024/07/11
Time : 20:00~
Speaker : Dong Hwan Kim
Topic : Why Normalizing Flows Fail to Detect Out-of-Distribution Data?
Date : 2024/07/02
Time : 19:30~
Speaker : Dong Hwan Kim
Topic : Do Deep Generative Models Know What They Don t Know?
Date : 2024/07/02
Time : 19:00~
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~
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~
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~
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~
Speaker : Junkyo Shim
Topic : CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Date : 2024/05/21
Time : 19:00~
Speaker :Jihun Han
Topic : SIMPER: Simple Self-Supervised Learning of Periodic Targets
Date : 2024/05/13
Time : 19:00~
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~
Speaker :Yu Jun Yang
Topic : Single Source Domain Generalization
Date : 2024/04/16
Time : 19:00~
Speaker : Youngje Oh
Topic : Randomized Adversarial Style Perturbations for Domain Generalization
Date : 2024/04/02
Time : 19:30~
Speaker : Yongmin Kim
Topic : Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis
Date : 2024/04/02
Time : 19:00~
Speaker : Jahoon Jeong
Topic :Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Date : 2024/03/26
Time : 19:30~
Speaker : Hoyeon Lee
Topic : Domain Generalization with Correlated Style Uncertainty
Date : 2024/03/26
Time : 19:00~
Speaker : Dong Hwan Kim
Topic : Deep Orthogonal Hypersphere Compression for Anomaly Detection Understanding
Date : 2024/03/19
Time : 19:30~
Speaker : Harin Lim
Topic : Unsupervised Melody-to-Lyric Generation
Date : 2024/03/19
Time : 19:00~
Speaker : Sewon Kim
Topic : Semantic Image Synthesis via Diffusion Models
Date : 2024/03/11
Time : 17:00~
Speaker : Gaeun Kim
Topic : V-JEPA: LatentVideoPrediction For Visual Representation Learning
Date : 2024/03/04
Time : 17:30~
Speaker : Jaehwi Jeon
Topic : VideoPrism: A Foundational Visual Encoder for Video Understanding
Date : 2024/03/04
Time : 17:00~
Speaker : Seo Yoon Jang
Topic : Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Date : 2024/02/26
Time : 19:30~
Speaker : Junkyo Shim
Topic : MVSS-Net: Multi-View Multi-ScaleSupervised Networks forImage Manipulation Detection
Date : 2024/02/26
Time : 19:00~
Speaker : Jihun Han
Topic : Echo-SyncNet
Date : 2024/02/19
Time : 17:30~
Speaker : Joohoon Lee
Topic : A Latent Space of Stochastic Diffusion Models forZero-Shot Image Editing and Guidance
Date : 2024/02/19
Time : 17:00~
Speaker : Yu jun Yang
Topic :Semi-Supervised Domain Generalizationwith Evolving Intermediate Domain
Date : 2024/02/13
Time : 19:30~
Speaker : Beomgyo Shin
Topic : Segment anything in medical images
Date : 2024/02/13
Time : 19:00~
Speaker : Yongmin Kim
Topic : Meta-Transfer Learning for Zero-Shot Super-Resolution
Date : 2024/02/05
Time : 17:30~
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~
Speaker : Sewon Kim
Topic : Pseudo-label Guided Contrastive Learning
for Semi-supervised
Medical Image Segmentation
Date : 2024/01/29
Time : 17:00~
Speaker : Gaeun Kim
Topic : Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Date : 2024/01/22
Time : 17:30~
Speaker : Jaehwi Jeon
Topic : Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
Date : 2024/01/22
Time : 17:00~
Speaker : Seo Yoon Jang
Topic : ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection
Date : 2024/01/15
Time : 17:30~
Speaker : Yu jun Yang
Topic : AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
Date : 2024/01/15
Time : 17:00~
Speaker : Jihun Han
Topic : FlexPredictSelf-Supervised Learning
Date : 2024/01/08
Time : 17:30~
Speaker : Joohoon Lee
Topic : “Blind”Harmonization for MR Images via Flow model
Date : 2024/01/08
Time : 17:00~
Speaker : Junkyo Shim
Topic : Noise2Noise: Learning Image Restoration without Clean Data
Date : 2024/01/03
Time : 17:30~
Speaker : Yujin Lee
Topic : DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Date : 2024/01/03
Time : 17:00~