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Speaker : Beomgyo Shin
Topic : Uncertainty Quantification of Left Ventricle Volume Estimation in 2D Echocardiography
Date : 2023/12/28
Time : 16:30~
Speaker : Yongmin Kim
Topic : Unsupervised Degradation Representation Learning for Blind Super-Resolution
Date : 2023/12/28
Time : 16:00~
Speaker : Sewon Kim
Topic : LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
Date : 2023/12/11
Time : 11:30~
Speaker : Youngje Oh
Topic : Recursive Bayesian Ensemble Prediction withCombining Artificial Degradation Patterns
Date : 2023/12/11
Time : 11:00~
Speaker : Gaeun Kim
Topic : IJEPA: Self Supervised Learning from Images with a Joint Embedding Predictive Architecture
Date : 2023/12/04
Time : 11:00~
Speaker : Jaehwi Jeon
Topic : MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis
Date : 2023/12/04
Time : 10:30~
Speaker : Seo Yoon Jang
Topic : AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Date : 2023/11/29
Time : 11:30~
Speaker : Joonkyo Shim
Topic : PromptIR: Prompting for All in One Blind Image Restoration
Date : 2023/11/29
Time : 11:00~
Speaker : Jihun Han
Topic : Remaining Useful Life Predictions: A Literature Review on the use of ML Methods
Date : 2023/11/20
Time : 11:30~
Speaker : Joohoon Lee
Topic : Enhanced Soft Label for Semi-Supervised Semantic Segmentation
Date : 2023/11/20
Time : 11:00~
Speaker : Yujin Lee
Topic : Conditional Prompt Learning for Vision-Language Models
Date : 2023/11/13
Time : 11:30~
Speaker : Yu jun Yang
Topic : Semi-supervised Domain Adaptation with Source Label Adaptation
Date : 2023/11/13
Time : 11:00~
Speaker : Beomgyo Shin
Topic : Open-World Semi-Supervised Learning
Date : 2023/11/06
Time : 11:30~
Speaker : Yongmin Kim
Topic : Restormer: Efficient Transformer for High Resolution Image Restoration
Date : 2023/11/06
Time : 11:00~
Speaker : Sewon Kim
Topic : Robust Speech Recognition via Large-Scale Weak Supervision
Date : 2023/10/30
Time : 11:00~
Speaker : Yu jun Yang
Topic : Semi-supervised Domain Adaptation via Statistics Invariant Adversarial Training
Date : 2023/10/11
Time : 20:00~
Speaker : Beomgyo Shin
Topic : A Patch-Wise Fault Diagnosis Framework with Self-Supervised Learning in Limited Data Scenarios
Date : 2023/10/11
Time : 19:30~
Speaker : Yongmin Kim
Topic : ZERONE: Enhancing Bearing Fault Diagnosis in Manufacturing through Vibration Signal Feature Extraction and 2D Image Embedding Evaluator
Date : 2023/10/11
Time : 19:00~
Speaker : Seo Yoon Jang
Topic : Open-set Fine-grained Retrieval via Prompting Vision-Language Evaluator
Date : 2023/10/09
Time : 11:00~
Speaker : Jaehwi Jeon
Topic : Fault Detection and Classification
Date : 2023/10/04
Time : 11:00~
Speaker : Gaeun Kim
Topic : Small Object Detection
Date : 2023/09/25
Time : 11:00~
Speaker : Joonkyo Shim
Topic : Visual Prompt Tuning
Date : 2023/09/18
Time : 11:30~
Speaker : Yujin Lee
Topic : Open Vocabulary Object Detection Via Vision And Language Knowledge Distillation
Date : 2023/09/18
Time : 11:00~
Speaker : Jihun Han
Topic : Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
Date : 2023/09/11
Time : 11:00~
Speaker : Yu jun Yang
Topic : Revisiting Learnable Affines for Batch Normalization in Few Shot Transfer Learning
Date : 2023/08/02
Time : 17:00~
Speaker : Yongmin Kim
Topic : AST: Audio Spectrogram Transformer
Date : 2023/07/26
Time : 17:30~
Speaker : Jaehwi Jeon
Topic : Rethinking Architecture Design for Tackling Heterogeneity in Federated Learning
Date : 2023/07/26
Time : 17:00~
Speaker : Joonkyo Shim
Topic : LEAT: Towards Robust Deepfake Disruption in Real World Scenarios via Latent Ensemble Attack
Date : 2023/07/19
Time : 17:00~
Speaker : Seo Yoon Jang
Topic : Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Date : 2023/07/13
Time : 17:30~
Speaker : Jihun Han
Topic : A Time Series is Worth 64 Words: Long Term Forecasting with Transformers
Date : 2023/07/13
Time : 17:00~
Speaker : Joohoon Lee
Topic : InternImage: Exploring Large Scale Vision Foundation Models with Deformable Convolutions
Date : 2023/07/05
Time : 17:30~
Speaker : Beomgyo Shin
Topic : MICN: Multi Scale Local and Global Context Modeling for Long term Series Forecasting
Date : 2023/07/05
Time : 17:00~
Speaker : Shim Joonkyo
Topic :Deep Learning for Image Restoration
Date : 2023/05/16
Time : 17:00~
Speaker : Seo Yoon Jang
Topic : WinCLIP : Zero-/Few Shot Anomaly Classification and Segmentation
Date : 2023/05/09
Time : 17:30~
Speaker : Jaehwi Jeon
Topic : Communication-Efficient Learning of Deep Networks from Decentralized Data
Date : 2023/05/09
Time : 17:00~
Speaker : Jihun Han
Topic : Time series anomaly detection with stacked Transformer representations & 1D CNN
Date : 2023/05/02
Time : 17:30~
Speaker : Yu jun Yang
Topic : Semi supervised Domain Adaption via Minimax Entropy
Date : 2023/06/28
Time : 17:00~
Speaker : Yongmin Kim
Topic : Prior Knowledge Augmented Self Supervised Feature Learning for Few Shot Intelligent Fault Diagnosis of Machines
Date : 2023/05/23
Time : 17:30~
Speaker : Yujin Lee
Topic : OFA : Unifying Architectures, Tasks, and Modalities through a simple sequence-to-sequence learning framework
Date : 2023/05/23
Time : 17:00~
Speaker : Jongchan Park
Topic : As ViT: Auto Scaling Vision Transformers without training
Date : 2023/05/16
Time : 17:30~
Speaker : JooHoon Lee
Topic : TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Date : 2023/05/02
Time : 17:00~
Speaker : Beomgyo Shin
Topic : Self-supervised Learning for Fault Diagnosis with limited labeled data
Date : 2023/04/18
Time : 11:00~
Speaker : Yu jun Yang
Topic : Sensor Data Augmentation & Application
Date : 2023/04/18
Time : 10:30~
Speaker : Yujin Lee
Topic : Unified-IO : A Unified Model For Vision, Languate, And Multi-Modal Tasks Diagnosis Method Based on Two Dimensional Word Embedding
Date : 2023/04/11
Time : 11:00~
Speaker : Yongmin Kim
Topic : FaulTML: A Novel Fault Diagnosis Method Based on Two Dimensional Word Embedding
Date : 2023/04/11
Time : 10:30~
Speaker : Shim Joonkyo
Topic : Deep Fake Disruption
Date : 2023/04/04
Time : 10:30~
Speaker : Seo Yoon Jang
Topic : Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Anomaly Types
Date : 2023/03/28
Time : 11:00~
PDF Link
Speaker : Jongchan Park
Topic: Q-Former
Date : 2023/03/28
Time : 10:30~
Speaker :Jihun Han
Topic : Multivariate Anomaly Detection for Time Series Data with GAN
Date : 2023/03/21
Time : 11:00~
PDF Link
Speaker : Joo Hoon Lee
Topic : VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Date : 2023/03/21
Time : 10:30~
PDF Link
Speaker : Beomgyo Shin
Topic : Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types
Date : 2023/03/14
Time : 12:00~
PDF Link
Speaker : Yu Jun Yang
Topic: RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Date : 2023/03/14
Time : 11:30~
PDF Link
Speaker :Yujin Lee
Topic : What Do Self-Supervised Vision Transformers Learn?
Date : 2023/02/20
Time : 11:30~
PDF Link
Speaker : Yongmin Kim
Topic : Deep Learning Based Bearing Fault Diagnosis
Date : 2023/02/20
Time : 11:00~
PDF Link
Speaker : Shim Joonkyo
Topic : A Unified View of Masked Image Modeling
Date : 2023/02/13
Time : 11:30~
PDF Link
Speaker : Harin Lim
Topic: A Unified Model for Multi-class Anomaly Detection
Date : 2023/02/13
Time : 11:00~
PDF Link
Speaker :Seo Yoon Jang
Topic : Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Date : 2023/02/06
Time : 11:30~
PDF Link
Speaker : Jung Hun Phee
Topic : Theoretical View of Dropout
Date : 2023/02/06
Time : 11:00~
PDF Link
Speaker : Jongchan Park
Topic : How to Implement DRL
Date : 2023/01/30
Time : 11:30~
PDF Link
Speaker : Jihun Han
Topic: Time Series Classification with HIVE-COTE
Date : 2023/01/30
Time : 11:00~
PDF Link
Speaker : Joo Hoon Lee
Topic : CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Date : 2023/01/16
Time : 11:30~
PDF Link
Speaker : Yu Jun Yang
Topic : Active Learning for Convolutional Neural Networks: A Core-Set Approach
Date : 2023/01/16
Time : 11:00~
PDF Link
Speaker : Beomgyo Shin
Topic : MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Date : 2023/01/09
Time : 11:30~
PDF Link
Speaker : Yujin Lee
Topic: SelFormaly: Representation Is All You Need for Anomaly Detection
Date : 2023/01/09
Time : 11:00~
to be submitted to ICCV
Speaker : Jongchan Park
Topic : Soft Actor Critic
Date : 2022/12/07
Time : 19:00~
PDF Link
Speaker : Joo Hoon Lee
Topic : You Only Look Once
Date : 2022/11/22
Time : 19:00~
PDF Link
Speaker : Yu Jun Yang
Topic : Realistic Evaluation of Deep Semi-supervised Learning Algorithm
Date : 2022/11/15
Time : 19:00~
PDF Link
Speaker : Yujin Lee
Topic : Towards General Purpose Vision Systems: An End-to-End Task Agnostic Vision-Language Architecture
Date : 2022/11/08
Time : 19:00~
PDF Link
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