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 ↗

WACV 2027 logo

Publication

Ray-SCR accepted to WACV 2027

Our paper, ‘Ray-SCR: Generalizing Scene Coordinate Regression Across Camera Models,’ has been accepted to WACV 2027. Congratulations to Jaemin and Oleksii!
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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.

ConferenceWACV · 2027
Ray-SCR localization across camera models with estimated six-degree-of-freedom camera pose

Ray-SCR: Generalizing Scene Coordinate Regression Across Camera Models

J. Cho, O. Nasypanyi, F. Rameau

IEEE/CVF Winter Conference on Applications of Computer Vision

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ConferenceBMVC · 2026
Overview of the 3DiffGS method for reconstructing 3D Gaussian splats from unposed images

3DiffGS: 3D Gaussian Splats from Unposed 2D Images using Diffusion Models

A. Bhusal, B. Koju, D.P.Paudel, F. Rameau

British Machine Vision Conference

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ConferenceECCV · 2026
Illustration for Seeing Through the Weights: Privacy Leakage in Scene Coordinate Regression

Seeing Through the Weights: Privacy Leakage in Scene Coordinate Regression

O. Nasypanyi, J. Cho, U. Ozbulak, B. Kang, F. Rameau

European Conference on Computer Vision

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