16 citations · 42 across the 14 of their papers we have counts for
4 papers · 1 filter
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li, Zhengkang Xiang, Joseph West +1
Traditional object detection methods operate under the closed-set assumption, where models can only detect a fixed number of objects predefined in the training set. Recent works on…
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham +1
Point cloud registration is a foundational task for 3D alignment and reconstruction applications. While both traditional and learning-based registration approaches have succeeded,…
Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network
Zexian Huang, Kourosh Khoshelham, Martin Tomko
Geometric shape classification of vector polygons remains a challenging task in spatial analysis. Previous studies have primarily focused on deep learning approaches for rasterized…
LMSeg: An end-to-end geometric message-passing network on barycentric dual graphs for large-scale landscape mesh segmentation
Zexian Huang, Kourosh Khoshelham, Martin Tomko
Semantic segmentation of large-scale 3D landscape meshes is critical for geospatial analysis in complex environments, yet existing approaches face persistent challenges of scalabil…