Sungho Suh

Latest

• Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks
• AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
• ContextMix: A context-aware data augmentation method for industrial visual inspection systems
• Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
• A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors
• Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
• Sensor data augmentation from skeleton pose sequences for improving human activity recognition
• Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
• ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
• Chemical Property-Guided Neural Networks for Naphtha Composition Prediction
• FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
• A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image
• TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
• Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognitiony