3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2026★ 1 cited
Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data
Yiming Zhou, Xuenjie Xie, Panfeng Li +3
Segment Anything Models (SAM) achieve impressive universal segmentation performance but require massive datasets (e.g., 11M images) and rely solely on RGB inputs. Recent efficient…
cs.CV2025
Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments
Mingrui Li, Yiming Zhou, Hongxing Zhou +4
Current Simultaneous Localization and Mapping (SLAM) methods based on Neural Radiance Fields (NeRF) or 3D Gaussian Splatting excel in reconstructing static 3D scenes but struggle w…
eess.SP2024★ 3 cited
Integrating AI in NDE: Techniques, Trends, and Further Directions
Eduardo Pérez, Cemil Emre Ardic, Ozan Çakıroğlu +9
The digital transformation is fundamentally changing our industries, affecting planning, execution as well as monitoring of production processes in a wide range of application fiel…