SAIL@UNIST
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  • Automated Time-Series Analysis
  • Semantic Segmentation
  • Pedestrian Detection
  • Slot_Filling
  • Behavior Learning
  • Image Captioning
  • Machine Reading Comprehension
  • Plant Diagnosis
  • Explainable XGBoost

Demo SWs and Videos designed and developed by members of Statistical Artificial Intelligence Lab (SAIL) at UNIST.

Automated Time-Series Analysis

Generating Automatic Reports from Time-Series Data.

Semantic Image Segmentation

Deep Learning Models for End-to-End Training to Segmenta Image Semantically.

Pedestrian Detection

Deep Learning based Real-Time Pedestrian Detection.

Slot Filling

Learn Textual Relations From Large Text Data.

Robot Behavior Learning

An End-to-end Deep Learning Architecture to Learn Robotic Manipulation.

Image Captioning

Semantic Compositional Networks for Visual Captioning

Plant Diagnosis

Confluence Equation based Component-wise Plant Diagnosis System

Machine Reading Comprehension

BERT based Machine Reading Comprehention

Explainable XGBoost

Get in touch

Statistical Artificial Intelligence Lab@UNIST
50 UNIST, Ulsan 44919
Tel: 052-217-2180,2199
email: jaesik at unist.ac.kr

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