5 papers
A Height-Constrained 2-Point Minimal Solver for Pose Estimation from Active LED Markers with Event Cameras
Runze Yuan, Alexander Kappler, Jun Zhang +5
In many autonomous applications requiring real-time localization, active marker-based systems are preferred due to their low latency and ease of deployment compared to computationa…
LEAR: Learning Edge-Aware Representations for Event-to-LiDAR Localization
Kuangyi Chen, Jun Zhang, Yuxi Hu +2
Event cameras offer high-temporal-resolution sensing that remains reliable under high-speed motion and challenging lighting, making them promising for localization from LiDAR point…
-GS: Learning Context-aware, Cross-dimension, Cross-scale Feature for Generalizable Gaussian Splatting
Yuxi Hu, Jun Zhang, Kuangyi Chen +2
Generalizable Gaussian Splatting aims to synthesize novel views for unseen scenes without per-scene optimization. In particular, recent advancements utilize feed-forward networks t…
ICG-MVSNet: Learning Intra-view and Cross-view Relationships for Guidance in Multi-View Stereo
Yuxi Hu, Jun Zhang, Zhe Zhang +5
Multi-view Stereo (MVS) aims to estimate depth and reconstruct 3D point clouds from a series of overlapping images. Recent learning-based MVS frameworks overlook the geometric info…
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration
Kuangyi Chen, Jun Zhang, Friedrich Fraundorfer
Event cameras are bio-inspired sensors with some notable features, including high dynamic range and low latency, which makes them exceptionally suitable for perception in challengi…