3 citations · 4 across the 13 of their papers we have counts for
16 papers
DirtyMoCap: Robust Motion Capture from Unconstrained Markers
Long Wang, Shuting Zhao, Shen Yan +5
Optical motion capture delivers high-fidelity human motion, but its reliance on strict marker layouts and clean trajectories severely limits its real-world applicability. In practi…
PiLoT v2: Pixel-to-Orthogonal Map Alignment for Free-view UAV Geo-localization
Xinyi Liu, Xiaoya Cheng, Rouwan Wu +4
Real-time, drift-free UAV geo-localization is essential for autonomous missions in GNSS-denied environments. The pioneering system, PiLoT, achieves high precision via Neural Pixel-…
AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision
Xiaoya Cheng, Rouwan Wu, Xinyi Liu +6
Despite the rapid progress in data-driven 3D vision, aerial geometric 3D vision remains a formidable challenge due to the severe scarcity of large-scale, high-fidelity training dat…
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…
Local Precise Refinement: A Dual-Gated Mixture-of-Experts for Enhancing Foundation Model Generalization against Spectral Shifts
Xi Chen, Maojun Zhang, Yu Liu +1
Domain Generalization Semantic Segmentation (DGSS) in spectral remote sensing is severely challenged by spectral shifts across diverse acquisition conditions, which cause significa…
LoD-Loc v3: Generalized Aerial Localization in Dense Cities using Instance Silhouette Alignment
Shuaibang Peng, Juelin Zhu, Xia Li +4
We present LoD-Loc v3, a novel method for generalized aerial visual localization in dense urban environments. While prior work LoD-Loc v2 achieves localization through semantic bui…
KoopmanFlow: Spectrally Decoupled Generative Control Policy via Koopman Structural Bias
Chengsi Yao, Ge Wang, Kai Kang +9
Generative Control Policies (GCPs) show immense promise in robotic manipulation but struggle to simultaneously model stable global motions and high-frequency local corrections. Whi…
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…
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Xi Chen, Shen Yan, Juelin Zhu +3
We introduce Land-MoE, a novel approach for multispectral land cover classification (MLCC). Spectral shift, which emerges from disparities in sensors and geospatial conditions, pos…
NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics
Kun Yang, Yuxiang Liu, Zeyu Cui +4
Thermal infrared imaging offers the advantage of all-weather capability, enabling non-intrusive measurement of an object's surface temperature. Consequently, thermal infrared image…
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…
Incremental Multiview Point Cloud Registration
Xiaoya Cheng, Yu Liu, Maojun Zhang +1
In this paper, we present a novel approach for multiview point cloud registration. Different from previous researches that typically employ a global scheme for multiview registrati…
UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization
Rouwan Wu, Xiaoya Cheng, Juelin Zhu +3
Despite significant progress in global localization of Unmanned Aerial Vehicles (UAVs) in GPS-denied environments, existing methods remain constrained by the availability of datase…
Long-term Visual Localization with Mobile Sensors
Shen Yan, Yu Liu, Long Wang +6
Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging probl…
Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior
Shen Yan, Xiaoya Cheng, Yuxiang Liu +4
Despite the significant progress in 6-DoF visual localization, researchers are mostly driven by ground-level benchmarks. Compared with aerial oblique photography, ground-level map…
Image Retrieval for Structure-from-Motion via Graph Convolutional Network
Shen Yan, Yang Pen, Shiming Lai +2
Conventional image retrieval techniques for Structure-from-Motion (SfM) suffer from the limit of effectively recognizing repetitive patterns and cannot guarantee to create just eno…