Author

Jun-Jie Gao

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Preprint Aug 2026

TeaMatch: Teachable Cross-Modal Representation Learning for 2D-3D Matching

Learning reliable correspondences between images and point clouds is fundamental for 2D-3D matching. Despite recent progress in detection-free methods, existing approaches primarily optimize matching within a single model and often struggle to maintain reliable correspondences under challenging conditions such as noisy...

Chong Wang, Jun-Jie Gao · 0 citations

Preprint Aug 2026

DMM-Align: Closed-Loop Optimization for 2D-3D Registration with Dual-Role Diffusion

2D-3D registration remains brittle in challenging scenarios such as low overlap, occlusion, repetitive structures, and severe cross-modal ambiguity. A key reason is that existing methods improve representation learning, correspondence estimation, or pose computation in isolation, while the dominant failure mode is inhe...

Chong Wang, Jun-Jie Gao · 0 citations