2 citations · 3 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…