SUNY Korea · Stony Brook University● Graduate positions open

Computer vision / Robotics / Machine learning

Machines that
understand space.

We develop computer vision and robotics systems that perceive, reconstruct, and collaborate within the 3D world.

Directed by Prof. François Rameau ↗

ECCV 2026 acceptance announcement

Publication

Privacy-preserving visual localization accepted to ECCV 2026

Our work examining privacy leakage in scene-coordinate regression has been accepted to ECCV 2026. Congratulations to Oleksii Nasypanyi and Jaemin Cho.
Read story ↗
Latest from SILAll news ↗

01 / Research

Research
directions.

Scene-coordinate regression privacy reconstruction
01

3D Vision & Localization

Recovering geometry and camera pose from visual observations, with robust and privacy-aware representations of place.

3D vision · Visual localization
Multiple connected cars collaborating on visual localization
02

Connected Robotics

Enabling autonomous agents to perceive, communicate, and collaborate in shared and changing environments.

Robotics · Multi-agent systems
Visual learning from multi-camera CCTV footage
03

Learning for Visual Systems

Reliable visual learning for domain adaptation, matching, omnidirectional imaging, and automotive applications.

Deep learning · Visual perception

02 / Latest output

Recent
publications.