I’m Francois Rameau,

Assistant Professor, SUNY Korea
Research Professor, Stony Brook (USA)
Adjunct Faculty, NAAMII (Nepal)

I am Francois Rameau, an Assistant Professor at the State University of New York (SUNY) Korea. My research focuses on computer vision and robotics, with an emphasis on 3D computer vision, machine learning, and collaborative robotics.
I earned my Ph.D. in Vision and Robotics from the University of Burgundy, France, in 2014. After my Ph.D., I joined the Korea Advanced Institute of Science and Technology (KAIST, South Korea), first as a postdoctoral researcher and later as a Research Professor under the KRF fellowship program (2017–2023).
In addition to my tenure track position at SUNY Korea, I serve as a Research Professor at Stony Brook University and Adjunct Faculty at NAAMII in Nepal. I am also a Faculty Senator at SUNY Korea and an Associate Editor for IEEE Robotics and Automation Letters.

Research Interests

3D Vision

Deep Learning

Connected Robotics

Automotive Applications

Omnidirectional Imaging

Augmented Reality

Experience

Assistant Professor

SUNY Korea

2023 - Present

Assistant Professor

SUNY Korea

2023 - Present

Research Professor

Stony Brook University (USA)

2023 - Present

Research Professor

Stony Brook University (USA)

2023 - Present

Adjunct Faculty

NAAMII (Nepal)

2023 - Present

Adjunct Faculty

NAAMII (Nepal)

2023 - Present

Research Professor

KAIST (Korea)

2016 - 2023

Research Professor

KAIST (Korea)

2016 - 2023

Education

Post-Doctoral Researcher

KAIST (Korea)

2015 - 2016

Post-Doctoral Researcher

KAIST (Korea)

2015 - 2016

Ph.D.

Université Bourgogne Europe

2011 - 2014

Ph.D.

Université Bourgogne Europe

2011 - 2014

Master Degree - Erasmus Mundus VIBOT

Université Bourgogne Europe

2009 - 2011

Master Degree - Erasmus Mundus VIBOT

Université Bourgogne Europe

2009 - 2011

Bachelor - Electronic and Signal Processing

Université Bourgogne Europe

2006 - 2009

Bachelor - Electronic and Signal Processing

Université Bourgogne Europe

2006 - 2009

News

Acceptance - ICPR 2026
Apr 1, 2026
I am pleased to announce that our work on Unsupervised Domain Adaption has been accepted to ICPR 2026.
Acceptance - TMLR
Mar 29, 2026
Our work on spurious correlation detection via token discarding has been accepted to Transactions on Machine Learning Research; congratulations and sincere thanks to the Ghent University team for leading this excellent work.
ANAIS 2025
Jan 8, 2026
The 2025 edition of the Annual Nepal AI School brought together 225 participants from 19 countries for an intensive 11-day program featuring 23 speakers from four continents. It was an honor to serve as Principal Chair alongside Ashutosh Modi and Vijay Prakash Dwivedi.
Panel Discussion on AI Risk
Jan 5, 2026
I was honored to take part in a panel discussion in Kathmandu, Nepal, alongside leaders from the banking sector, academic experts, and senior public officials. The discussion focused on AI risks, institutional readiness, and leadership challenges in the financial sector.
I thank Tangible AI and Drucker Leadership Academy, as well as the organizers, for convening this thoughtful exchange.
Best Paper Award @ICONIP 2025
Nov 28, 2025
We received the Best Paper Award at ICONIP 2025 for our work on 16-bit training!
SUNY Korea Presidential Award
Nov 20, 2025
Congratulations to Jaemin and Oleksii for receiving the SUNY Korea Presidential Award for their research on privacy attacks in Scene Coordinate Regression.
Acceptance - 3DV 2026
Nov 16, 2025
Our work on Epipolar Guided Matching has been accepted to 3DV!
Acceptance - ICONIP 2025
Jul 28, 2025
Our paper on low-precision neural network training has been accepted as an oral presentation at ICONIP 2025 (top 8% acceptance rate)
Acceptance - IV 2025
Apr 25, 2025
Our paper on Event-based object detection has been accepted at the IEEE Intelligent Vehicles Symposium 2025.
ANAIS 2025 - Program Chair
Apr 15, 2025
I’m honored to serve as Program Chair of ANAIS 2025, the annual winter school on AI held in Kathmandu and organized by NAAMII. In this role, I’m joined by Ashutosh Modi (IIT Kanpur) and Vijay Prakash Dwivedi (Stanford).
This edition promises to be a truly exciting gathering!

Publications

Dual-Foundation Models for Unsupervised Domain Adaptation

International Conference on Pattern Recognition (ICPR)

Yerin Cheon, Aruna Balasubramanian, and Francois Rameau

Aug 17, 2026

Token-Based Detection of Spurious Correlations in Vision Transformers

Transactions on Machine Learning Research (TMLR)

S. Kang, E. T. Anzaku, W. De Neve, A. Van Messem, J. Vankerschaver, F. Rameau, U. Ozbulak

Mar 29, 2026

Pixel-Accurate Epipolar Guided Matching

International Conference on 3D Vision (3DV)

O. Nasypanyi, F. Rameau

Mar 20, 2026

Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning

International Conference on Neural Information Processing (ICONIP)

J. Yun , S. Choi, F. Rameau, B. Kang, Z. Fu

Nov 20, 2025

Teaching

CSE 101 - Computer Science Principle (Stony Brook)

Topics: Python basics, Data structures, OOP

2023-Present

CSE 527: Artificial Intelligence (Stony Brook)

Topics: Deep Learning, Logic, Search

2025-Present

CSE 537: Computer Vision (Stony Brook)

Topics: Camera Calibration, 3D Reconstruction, Deep-Learning

2025-Present

PD803: Perception for autononous and connected vehicles
(KAIST - Best Teaching Award from the Department of Future Vehicle)

Topics: Visual Odometry, Vision Systems

2019-2021

Others (Université Bourgogne Europe)

Topics: Numerical Analysis, Mathematics, Image Processing

2011-2014

Academic Services

Program Chair, ANAIS 2025 Winter School (Nepal AI School)
SUNY Korea senate secretary (Spring 2025)
SUNY Korea senator: chair of the Academic Planning and Educational Services Committee (Fall 2024 - Spring 2025)
Associate Editor: IEEE Robotics and Automation Letters (RA-L)
Regular committee member at ANR (Agence Nationale pour la
Recherche)
Guest Editor: MDPI Sensors 2022 Special Issue - ”Multi-sensor and multi-modal place localization”.
Co-organiser: IPIU 2019 - Tutorial on Vision-based localization.
Senior program committee member: AAAI 2022
Conference Reviewer: IROS, NEURIPS, ICRA, IV, CVPR, ICCVW, AAAI, MIPR, ICCV, ECCV, ACCV, WACV, 3DV, ICML (and more)
Journal Reviewer: TPAMI, IJCV, PR, TIP, RAL, TRO, TCI, IET CV, VR, Micromachines, Optics (and more)
Session chair: IROS 2019, URAI 2016, IWRCV 2017.