23 citations · 54 across the 32 of their papers we have counts for
32 papers
Mono-Hydra++: Real-Time Monocular Scene Graph Construction with Multi-Task Learning for 3D Indoor Mapping
U. V. B. L. Udugama, George Vosselman, Francesco Nex
Autonomous agile robots need more than metric geometry: they must understand objects, rooms, places, and spatial relations for search, inspection, exploration, and human-robot inte…
Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization
Mingbo Hong, Feng Liu, Caroline Gevaert +2
Detectors often suffer from degraded performance, primarily due to the distributional gap between the source and target domains. This issue is especially evident in single-source d…
Feasibility of Indoor Frame-Wise Lidar Semantic Segmentation via Distillation from Visual Foundation Model
Haiyang Wu, Juan J. Gonzales Torres, George Vosselman +1
Frame-wise semantic segmentation of indoor lidar scans is a fundamental step toward higher-level 3D scene understanding and mapping applications. However, acquiring frame-wise grou…
A Comparison of Multi-View Stereo Methods for Photogrammetric 3D Reconstruction: From Traditional to Learning-Based Approaches
Yawen Li, George Vosselman, Francesco Nex
Photogrammetric 3D reconstruction has long relied on traditional Structure-from-Motion (SfM) and Multi-View Stereo (MVS) methods, which provide high accuracy but face challenges in…
Incremental Semantics-Aided Meshing from LiDAR-Inertial Odometry and RGB Direct Label Transfer
Muhammad Affan, Ville Lehtola, George Vosselman
Geometric high-fidelity mesh reconstruction from LiDAR-inertial scans remains challenging in large, complex indoor environments -- such as cultural buildings -- where point cloud s…
ACPV-Net: All-Class Polygonal Vectorization for Seamless Vector Map Generation from Aerial Imagery
Weiqin Jiao, Hao Cheng, George Vosselman +1
We tackle the problem of generating a complete vector map representation from aerial imagery in a single run: producing polygons for all land-cover classes with shared boundaries a…
M2H-MX: Multi-Task Semantic and Geometric Perception for Real-Time Monocular 3D Scene Graph Construction
U. V. B. L. Udugama, George Vosselman, Francesco Nex
Monocular cameras are attractive for robotic perception due to their low cost and ease of deployment, yet achieving reliable real-time spatial understanding from a single image str…
M2H: Multi-Task Learning with Efficient Window-Based Cross-Task Attention for Monocular Spatial Perception
U. V. B. L Udugama, George Vosselman, Francesco Nex
Deploying real-time spatial perception on edge devices requires efficient multi-task models that leverage complementary task information while minimizing computational overhead. Th…
DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-temporal Fusion
Mengmeng Liu, Michael Ying Yang, Jiuming Liu +5
Visual-LiDAR odometry is a critical component for autonomous system localization, yet achieving high accuracy and strong robustness remains a challenge. Traditional approaches comm…
LDPoly: Latent Diffusion for Polygonal Road Outline Extraction in Large-Scale Topographic Mapping
Weiqin Jiao, Hao Cheng, George Vosselman +1
Polygonal road outline extraction from high-resolution aerial images is an important task in large-scale topographic mapping, where roads are represented as vectorized polygons, ca…
Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation
Kun Li, George Vosselman, Michael Ying Yang
The goal of referring remote sensing image segmentation (RRSIS) is to extract specific pixel-level regions within an aerial image via a natural language expression. Recent advancem…
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings
Weiqin Jiao, Hao Cheng, Claudio Persello +1
Polygonal building outlines are crucial for geographic and cartographic applications. The existing approaches for outline extraction from aerial or satellite imagery are typically…
PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction
Weiqin Jiao, Claudio Persello, George Vosselman
Polygonal building outline extraction has been a research focus in recent years. Most existing methods have addressed this challenging task by decomposing it into several subtasks…
Learning from Exemplars for Interactive Image Segmentation
Kun Li, Hao Cheng, George Vosselman +1
Interactive image segmentation enables users to interact minimally with a machine, facilitating the gradual refinement of the segmentation mask for a target of interest. Previous s…
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization
Yao Wei, Martin Renqiang Min, George Vosselman +2
Compositional 3D scene synthesis has diverse applications across a spectrum of industries such as robotics, films, and video games, as it closely mirrors the complexity of real-wor…
Multimodal Rationales for Explainable Visual Question Answering
Kun Li, George Vosselman, Michael Ying Yang
Visual Question Answering (VQA) is a challenging task of predicting the answer to a question about the content of an image. Prior works directly evaluate the answering models by si…
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models
Yao Wei, George Vosselman, Michael Ying Yang
3D building generation with low data acquisition costs, such as single image-to-3D, becomes increasingly important. However, most of the existing single image-to-3D building creati…
Interactive Image Segmentation with Cross-Modality Vision Transformers
Kun Li, George Vosselman, Michael Ying Yang
Interactive image segmentation aims to segment the target from the background with the manual guidance, which takes as input multimodal data such as images, clicks, scribbles, and…
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones
Ning Zhang, Francesco Nex, George Vosselman +1
Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap,…
HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images
Kun Li, George Vosselman, Michael Ying Yang
Visual question answering (VQA) is an important and challenging multimodal task in computer vision. Recently, a few efforts have been made to bring VQA task to aerial images, due t…
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
Ning Zhang, Francesco Nex, George Vosselman +1
Self-supervised monocular depth estimation that does not require ground truth for training has attracted attention in recent years. It is of high interest to design lightweight but…
Flow-based GAN for 3D Point Cloud Generation from a Single Image
Yao Wei, George Vosselman, Michael Ying Yang
Generating a 3D point cloud from a single 2D image is of great importance for 3D scene understanding applications. To reconstruct the whole 3D shape of the object shown in the imag…
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery
Ye Lyu, George Vosselman, Gui-Song Xia +1
Semantic segmentation for aerial platforms has been one of the fundamental scene understanding task for the earth observation. Most of the semantic segmentation research focused on…
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
Yaping Lin, George Vosselman, Yanpeng Cao +1
Interpretation of Airborne Laser Scanning (ALS) point clouds is a critical procedure for producing various geo-information products like 3D city models, digital terrain models and…