Welcome to Spatial AI Lab

Advancing the frontiers of vision computing and artificial intelligence

Explore Our Research

Our Research Areas

Geometric Computer Vision

Spatial perception, visual localization, and 3D reconstruction.

Anomaly Detection

Unsupervised approaches for anomaly detection.

3D Medical Imaging and Simulation

Transform 2D medical scans into accurate 3D models.

Lab News

Nov 14, 2024Se Jong Ryu and Seong Ho Kim received the Excellence Award at the Electronic Engineering Graduation Project Works Evaluation. Congrats!#Award
Oct 29, 20241 paper accepted at WACV 2025. Congratulations to Jiin Im, and Yongho Son!#Publication
Aug 12, 20241 patent received a prize at the 2024 Samsung DS Division Industry-Academia Cooperation Award ceremony. Congratulations to Sanghyuk Moon, and Taekyeong Park!#Award
Jul 20, 20241 paper accepted at BMVC 2024. Congratulations to Heejoon Moon, Jongwoo Lee, and Jeong Gon Kim!#Publication
Jul 5, 2024Je Hyeong Hong gave a short seminar on file fragment classification @ the Aerospace and Defense Technologies Workshop 2024.#Presentation
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Recent Publications

A Cross-Attention Multi-Scale Performer with Gaussian Bit-Flips for File Fragment Classification

Sisung Liu*, Jeonggyu Park*, Hyeongsik Kim and Je Hyeong Hong

IEEE Transactions on Information Forensics and Security (TIFS, Minor Revision)

Code

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data

Jiin Im*, Yongho Son* and Je Hyeong Hong

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

PaperCode

Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds

Heejoon Moon, Jongwoo Lee, Jeong Gon Kim, and Je Hyeong Hong

British Machine Vision Conference (BMVC) 2024

PaperCode
More Publications

Join Our Lab

MS-PhD Studentship Openings

We're recruiting 2 self-motivated prospective PhD or MS-PhD students commencing in March 2025.

Research Areas:

  • Physics informed neural network and Gaussian splitting
  • Medical image segmentation
  • Multimodal anomaly detection

Requirements:

  • Above 3.5/4.5 GPA from a renowned university
  • Major in electrical/electronic engineering or computer science
  • Experience in computer vision and/or deep learning

Contact Us

Location:

Engineering Center Annex Unit 415-1

Hanyang University

222 Wangsimni-ro

Seongdong-gu

Seoul, 04763

Republic of Korea

Email:

jhh37 at hanyang dot ac dot kr

Telephone:

02-2220-2489

Location Map