2 citations · 3 across the 10 of their papers we have counts for
11 papers
ForestQuery: Boundary-Aware and Spatially Anchored Query Learning for Unified Forest Point Cloud Segmentation
Zhihao Zhan, Le Tao, Yifei Tian +2
Forest point cloud segmentation is fundamental for fine-grained 3D forest scene understanding, yet remains challenging due to irregular tree structures, severe occlusions, density…
MAG-VLAQ: Multi-modal Aerial-Ground Query Aggregation for Cross-View Place Recognition
Zhengyi Xu, Yuhang Ming, Zhihao Zhan +3
Multi-modal cross-view place recognition remains a fundamental challenge in computer vision and robotics due to the severe viewpoint, modality, and spatial-structure discrepancies…
Terrain Perception for Agricultural UAVs in Complex Farmland via Rotating mmWave Radar
Zhihao Zhan, Le Tao, Shaobin Li +5
Accurate terrain perception is essential for terrain-following flight of agricultural unmanned aerial vehicles (UAVs), yet remains challenging in real-world farmland due to occlusi…
On the Derivation of Tightly-Coupled LiDAR-Inertial Odometry with VoxelMap
Zhihao Zhan
This note presents a concise mathematical formulation of tightly-coupled LiDAR-Inertial Odometry within an iterated error-state Kalman filter framework using a VoxelMap representat…
Thermal odometry and dense mapping using learned odometry and Gaussian splatting
Tianhao Zhou, Yujia Chen, Zhihao Zhan +2
Thermal infrared sensors, with wavelengths longer than smoke particles, can capture imagery independent of darkness, dust, and smoke. This robustness has made them increasingly val…
DC-VLAQ: Query-Residual Aggregation for Robust Visual Place Recognition
Hanyu Zhu, Zhihao Zhan, Yuhang Ming +4
One of the central challenges in visual place recognition (VPR) is learning a robust global representation that remains discriminative under large viewpoint changes, illumination v…
AgriLiRa4D: A Multi-Sensor UAV Dataset for Robust SLAM in Challenging Agricultural Fields
Zhihao Zhan, Yuhang Ming, Shaobin Li +1
Multi-sensor Simultaneous Localization and Mapping (SLAM) is essential for Unmanned Aerial Vehicles (UAVs) performing agricultural tasks such as spraying, surveying, and inspection…
A Multi-Sensor Fusion Approach for Rapid Orthoimage Generation in Large-Scale UAV Mapping
Jialei He, Zhihao Zhan, Zhituo Tu +2
Rapid generation of large-scale orthoimages from Unmanned Aerial Vehicles (UAVs) has been a long-standing focus of research in the field of aerial mapping. A multi-sensor UAV syste…
High-Quality Spatial Reconstruction and Orthoimage Generation Using Efficient 2D Gaussian Splatting
Qian Wang, Zhihao Zhan, Jialei He +2
Highly accurate geometric precision and dense image features characterize True Digital Orthophoto Maps (TDOMs), which are in great demand for applications such as urban planning, i…
Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment
Zhihao Zhan, Wang Pang, Xiang Zhu +1
In this work, we rethink the approach to video super-resolution by introducing a method based on the Diffusion Posterior Sampling framework, combined with an unconditional video di…
Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models
Wang Pang, Zhihao Zhan, Xiang Zhu +1
Most motion deblurring algorithms rely on spatial-domain convolution models, which struggle with the complex, non-linear blur arising from camera shake and object motion. In contra…