Wonhee Lee

Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec

Designing a fast and effective entropy model is challenging but essential for practical application of neural codecs. Beyond spatial autoregressive entropy models, more efficient backward...

Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection

Design of wearable orthopedic devices for treating forward head postures using pneumatic artificial muscles and flex sensors

Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations

Evaluation of Time Complexity Based on Triangle Height for K-Means Clustering

Reliability analysis of real-time control systems in industrial wireless network

Promoting Rehabilitation with an IoT based Patient Gait Monitoring System in a Smart Hospital

Utilizing a Simple Ontology to Manage Keywords of Contextual Advertising

Contextual Label Transformation For Scene Graph Generation

Keyword Management System Based on Ontology for Contextual Advertising

Harmful Contents Classification Using the Harmful Word Filtering and SVM

Providing Secure Information Exchange for Transportation Management in a Decentralised Platform

COIN-VASE: Code Injection Vulnerability Scanning Environment for HTML5-Based Android Apps

Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

Maritime anomaly detection is essential for ensuring maritime safety, security, and efficient traffic management at sea, with Automatic Identification System (AIS) data serving as a primary data...

Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies

Graph neural networks have emerged as a powerful tool for learning spatiotemporal interactions. However, conventional approaches often rely on predefined graphs, which may obscure the precise...