1 citations · 1 across the 3 of their papers we have counts for
4 papers
PiLoT: Neural Pixel-to-3D Registration for UAV-based Ego and Target Geo-localization
Xiaoya Cheng, Long Wang, Yan Liu +5
We present PiLoT, a unified framework that tackles UAV-based ego and target geo-localization. Conventional approaches rely on decoupled pipelines that fuse GNSS and Visual-Inertial…
LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment
Juelin Zhu, Shuaibang Peng, Long Wang +4
We propose a novel method for aerial visual localization over low Level-of-Detail (LoD) city models. Previous wireframe-alignment-based method LoD-Loc has shown promising localizat…
LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment
Juelin Zhu, Shen Yan, Long Wang +3
We propose a new method named LoD-Loc for visual localization in the air. Unlike existing localization algorithms, LoD-Loc does not rely on complex 3D representations and can estim…
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao, Jiehua Zhang, Bowen Peng +4
Network binarization exhibits great potential for deployment on resource-constrained devices due to its low computational cost. Despite the critical importance, the security of bin…