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.
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Updates / SIL
Publications, recognition, people, and other notes from the Spatial Intelligence Lab.
Our work examining privacy leakage in scene-coordinate regression has been accepted to ECCV 2026. Congratulations to Oleksii Nasypanyi and Jaemin Cho.
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Prof. François Rameau was recognized among the Outstanding Reviewers for CVPR 2026 for rigorous and constructive service to the computer-vision community.
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Prof. Rameau presented an overview of the AI research landscape in Korea at the SUNY AI Symposium in Stony Brook and joined discussions with researchers and participants.
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Our work on dual-foundation models for unsupervised domain adaptation has been accepted to ICPR 2026.
Read more ↗Our token-based approach for detecting spurious correlations in vision transformers has been accepted to Transactions on Machine Learning Research, led in collaboration with the Ghent University team.
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The Annual Nepal AI School welcomed 225 participants from 19 countries for an intensive 11-day program with 23 speakers. Prof. Rameau served as Principal Chair with Ashutosh Modi and Vijay Prakash Dwivedi.
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Prof. Rameau joined banking leaders, academic experts, and public officials to discuss AI risks, institutional readiness, and leadership challenges in the financial sector.
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Our work on practical 16-bit neural-network training received the Best Paper Award at ICONIP 2025.
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Jaemin Cho and Oleksii Nasypanyi received the SUNY Korea Presidential Award for their research on privacy attacks in scene-coordinate regression.
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Our work on pixel-accurate epipolar-guided matching has been accepted to the International Conference on 3D Vision.
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