Welcome to Machine Intelligence for Medical Engineering Team
Introduction
Our goal is to invent intelligent systems assisting medical diagnosis and treatment by extracting useful features from medical information, and combining them with powerful computational resources and vast amount of data in the cyber space. To tackle this challenging problem, we utilize all resources in the area of computer science including mathematical basis and robotics.
For more information, please refer to Machine Intelligence Lab.
Research Subjects
-Visual Recognition
-Machine Learning
-Intelligent Robot
2022
Model-Induced Generalization Error Bound for Information-Theoretic Representation Learning in Source-Data-Free Unsupervised Domain Adaptation (IEEE Transactions on Image Processing)
Fully Spiking Variational Autoencoder[https://arxiv.org/abs/2110.00375] (AAAI 2022)
EtinyNet: Extremely Tiny Network for TinyML (AAAI 2022)
Towards an Effective Orthogonal Dictionary Convolution Strategy (AAAI 2022)
2021
Neural Articulated Radiance Field (ICCV 2021)
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection (ICCV 2021)
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data (BMVC 2021)
Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary (ICRA 2021)
Goal-Oriented Gaze Estimation for Zero-Shot Learning (CVPR 2021)
Semantic Mapping of Construction Site from Multiple Daily Airborne LiDAR Data (IEEE Robotics and Automation Letters)
Humor meets morality: Joke generation based on moral judgement (Information Processing & Management)
Beam Stack Search-Based Reconstruction Of Unhealthy Coronary Artery Wall Segmentations In CCTA-CPR Scans (ISBI 2021 Oral)
Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry (AAAI 2021)
Hyperbolic Neural Networks++ (ICLR 2021)
SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation (WACV 2021)
The etiology of auditory hallucinations in schizophrenia: from multidimensional levels (Frontiers in Neuroscience)
Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization (IEEE Transactions on Neural Networks and Learning Systems)
Explainable Diabetic Retinopathy Detection and Retinal Image Generation (IEEE Journal of Biomedical and Health Informatics)
An Improved ICP Algorithm for Point Cloud Registration (ICARM 2021)
Object Detection of Surgical Instruments Based on YOLOv4 (ICARM 2021)
Relation-Aware Reasoning with Graph Convolutional Network (ICIG 2021)
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss (IEEE Transactions on Multimedia)