1 citations · 1 across the 7 of their papers we have counts for
8 papers
Smartphone-based Circular Plot Sampling for Forest Inventory
Su Sun, Jui-Cheng Chiu, Nabin Khanal +2
Circular sample plots are a cornerstone of forest inventory, yet accurate measurement of tree diameter at breast height (DBH) and spatial location within such plots remains challen…
Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapes
Victoria Yue Chen, Emery Pierson, Léopold Maillard +1
Text-driven inversion of generative models is a core paradigm for manipulating 2D or 3D content, unlocking numerous applications such as text-based editing, style transfer, or inve…
Tracking-Guided 4D Generation: Foundation-Tracker Motion Priors for 3D Model Animation
Su Sun, Cheng Zhao, Himangi Mittal +4
Generating dynamic 4D objects from sparse inputs is difficult because it demands joint preservation of appearance and motion coherence across views and time while suppressing artif…
Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation
Victoria Yue Chen, Daoye Wang, Stephan Garbin +4
Face registration deforms a template mesh to closely fit a 3D face scan, the quality of which commonly degrades in non-skin regions (e.g., hair, beard, accessories), because the op…
SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving
Su Sun, Cheng Zhao, Zhuoyang Sun +2
Most existing Dynamic Gaussian Splatting methods for complex dynamic urban scenarios rely on accurate object-level supervision from expensive manual labeling, limiting their scalab…
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving
Cheng Zhao, Su Sun, Ruoyu Wang +6
Most 3D Gaussian Splatting (3D-GS) based methods for urban scenes initialize 3D Gaussians directly with 3D LiDAR points, which not only underutilizes LiDAR data capabilities but al…
LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application
Yawen Lu, Zhuoyang Sun, Jinyuan Shao +4
The popularity of LiDAR devices and sensor technology has gradually empowered users from autonomous driving to forest monitoring, and research on 3D LiDAR has made remarkable progr…
M2fNet: Multi-modal Forest Monitoring Network on Large-scale Virtual Dataset
Yawen Lu, Yunhan Huang, Su Sun +4
Forest monitoring and education are key to forest protection, education and management, which is an effective way to measure the progress of a country's forest and climate commitme…