53 citations · 60 across the 10 of their papers we have counts for
12 papers
Saliency-Depth Conditioning for Zero-Shot Segmentation of Communication-Tower Components in Cluttered UAV Imagery
Ali Lesani, Chul Min Yeum, Su-Min Kang
Fine-grained segmentation of communication-tower components in UAV imagery is essential for automated inspection, yet task-specific models are hard to develop due to limited instan…
Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification
Fuad Hasan, Chul Min Yeum
Disaster damage is spatial: buildings rarely fail in isolation. Yet using spatial context for damage classification remains surprisingly underexplored, and many pipelines still rel…
GS-CPE: Unified 6-Degree-of-Freedom Camera Pose Estimation via 3D Gaussian Splatting
Huaiyuan Weng, Chul Min Yeum, Su-Min Kang
Despite substantial progress in visual localization, from scene coordinate regression to direct camera pose regression, achieving both robust generalization and high accuracy remai…
Structured-Li-GS: Structured 3D Gaussians Splatting with LiDAR Incorporation and Spatial Constraints
Huaiyuan Weng, Huibin Li, Chul Min Yeum
In this study, we develop a Structured framework for Gaussian Splatting (3DGS) with LiDAR integration (Structured-Li-GS). It is a lightweight Gaussian Splatting pipeline that lever…
View Invariant Learning for Vision-Language Navigation in Continuous Environments
Josh Qixuan Sun, Huaiyuan Weng, Xiaoying Xing +2
Vision-Language Navigation in Continuous Environments (VLNCE), where an agent follows instructions and moves freely to reach a destination, is a key research problem in embodied AI…
3D Reconstruction by Looking: Instantaneous Blind Spot Detector for Indoor SLAM through Mixed Reality
Hanbeom Chang, Jongseong Brad Choi, Chul Min Yeum
Indoor SLAM often suffers from issues such as scene drifting, double walls, and blind spots, particularly in confined spaces with objects close to the sensors (e.g. LiDAR and camer…
LiDAR-3DGS: LiDAR Reinforced 3D Gaussian Splatting for Multimodal Radiance Field Rendering
Hansol Lim, Hanbeom Chang, Jongseong Brad Choi +1
In this paper, we explore the capabilities of multimodal inputs to 3D Gaussian Splatting (3DGS) based Radiance Field Rendering. We present LiDAR-3DGS, a novel method of reinforcing…
Gaze-based Human-Robot Interaction System for Infrastructure Inspections
Sunwoong Choi, Zaid Abbas Al-Sabbag, Sriram Narasimhan +1
Routine inspections for critical infrastructures such as bridges are required in most jurisdictions worldwide. Such routine inspections are largely visual in nature, which are qual…
A Resilience-based Method for Prioritizing Post-event Building Inspections
Ali Lenjani, Ilias Bilionis, Shirley Dyke +2
Despite the wide range of possible scenarios in the aftermath of a disruptive event, each community can make choices to improve its resilience, or its ability to bounce back. A res…
Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion
Ali Lenjani, Shirley J. Dyke, Ilias Bilionis +5
In post-event reconnaissance missions, engineers and researchers collect perishable information about damaged buildings in the affected geographical region to learn from the conseq…
Automated building image extraction from 360° panoramas for postdisaster evaluation
Ali Lenjani, Chul Min Yeum, Shirley Dyke +1
After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain new knowledge and extract lessons from the event. However, in many c…
Automated Detection of Pre-Disaster Building Images from Google Street View
Chul Min Yeum, Ali Lenjani, Shirley J. Dyke +1
After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain lessons and gain knowledge from the event. Images of damaged buildin…