1 citations · 1 across the 4 of their papers we have counts for
4 papers
PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation
Yu Tian, Xintong Jiang, Jan Franklin Adamowski +2
Modern crop breeding demands precise organ-level analysis for trait quantification, making plant point cloud segmentation (PPCS) increasingly important. However, conventional deep…
Vision-Language Semantic Grounding for Multi-Domain Crop-Weed Segmentation
Nazia Hossain, Xintong Jiang, Yu Tian +3
Fine-grained crop-weed segmentation is essential for enabling targeted herbicide application in precision agriculture. However, existing deep learning models struggle to generalize…
Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
Xintong Jiang, Yixue Liu, Mohamed Debbagh +4
Parameter-Efficient Fine-Tuning (PEFT) of foundation models for agricultural computer vision tasks remains challenging due to limited training data and complex field conditions. Th…
Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions
Mohamed Debbagh, Yixue Liu, Zhouzhou Zheng +3
A plant growth simulation can be characterized as a reconstructed visual representation of a plant or plant system. The phenotypic characteristics and plant structures are controll…