Pengkun Liu
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View article: Controllable and flexible residential floor plan layout design based on multi-agent deep reinforcement learning with layout prior size and similar experience abandon
Controllable and flexible residential floor plan layout design based on multi-agent deep reinforcement learning with layout prior size and similar experience abandon Open
View article: Text semantics to controllable design: A residential layout generation method based on stable diffusion model
Text semantics to controllable design: A residential layout generation method based on stable diffusion model Open
Controlling flexibility and design effectiveness is challenging in artificial intelligence-based residential layout design. Compared to the previous rule-based or graph-based generation methods, this paper proposes a controllable multimoda…
View article: An intelligent log-seismic integrated stratigraphic correlation method based on wavelet frequency-division transform and dynamic time warping: A case study from the Lasaxing oilfield
An intelligent log-seismic integrated stratigraphic correlation method based on wavelet frequency-division transform and dynamic time warping: A case study from the Lasaxing oilfield Open
View article: Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training
Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training Open
Reliable building energy audits are crucial for efficiency through heat loss detection. While drones assist inspections, they overlook the interplay between personality traits, stress management, and operational strategies expert engineers…
View article: Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification
Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification Open
Fire patterns, consisting of fire effects that offer insights into fire behavior and origin, are currently classified based on investigators' visual observations, leading to subjective interpretations. This study proposes a quantitative fi…
View article: Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model
Text Semantics to Flexible Design: A Residential Layout Generation Method Based on Stable Diffusion Model Open
Flexibility in the AI-based residential layout design remains a significant challenge, as traditional methods like rule-based heuristics and graph-based generation often lack flexibility and require substantial design knowledge from users.…
View article: Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training
Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training Open
View article: Finite Element Analysis of Seismic Performance in Steel Tube-Confined Rc Bridge Piers
Finite Element Analysis of Seismic Performance in Steel Tube-Confined Rc Bridge Piers Open
View article: Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding Open
Encouraged by the growing availability of pre-trained 2D diffusion models, image-to-3D generation by leveraging Score Distillation Sampling (SDS) is making remarkable progress. Most existing methods combine novel-view lifting from 2D diffu…
View article: AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation Open
Advances in 3D generation have facilitated sequential 3D model generation (a.k.a 4D generation), yet its application for animatable objects with large motion remains scarce. Our work proposes AnimatableDreamer, a text-to-4D generation fram…
View article: Quantifying the reliability of defects located by bridge inspectors through human observation behavioral analysis
Quantifying the reliability of defects located by bridge inspectors through human observation behavioral analysis Open
Distinct site conditions and individual expertise contribute to the subjective nature of bridge inspection processes, which involve uncertain human factors. Assessing inspection reliability can be achieved by examining inspectors' behavior…
View article: Intelligent Process Visualization through Nuclear Operation Process Modeling, Reasoning, and Object Detection from Field Videos (Final Report)
Intelligent Process Visualization through Nuclear Operation Process Modeling, Reasoning, and Object Detection from Field Videos (Final Report) Open
This report is a deliverable for the “Final Report” task of DOE NEET Project 19-16790, "Context-Aware Safety Information Display for Nuclear Field Workers." This project's overall goal is to test the hypothesis that integrating computer vi…
View article: Improving post-occupancy evaluation engagement using social robots
Improving post-occupancy evaluation engagement using social robots Open
Post-occupancy evaluation (POE) is essential to evaluate and enhance indoor environmental quality (IEQ) that supports human health and productivity in building environments. Several POE methodical settings have been developed, such as inte…
View article: Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance
Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance Open
Early identification of on-site hazards is crucial for accident prevention in the construction industry. Currently, the construction industry relies on experienced safety advisors (SAs) to identify site hazards and generate mitigation meas…
View article: Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance
Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance Open
Early identification of on-site hazards is crucial for accident prevention in the construction industry. Currently, the construction industry relies on experienced safety advisors (SAs) to identify site hazards and generate mitigation meas…
View article: Mining Observation and Cognitive Behavior Process Patterns of Bridge Inspector
Mining Observation and Cognitive Behavior Process Patterns of Bridge Inspector Open
In bridge inspection, engineers should diagnose the observed bridge defects by identifying the factors underlying those defects. Traditionally, engineers search and organize structural condition-related information based on visual inspecti…
View article: SNF: Filter Pruning via Searching the Proper Number of Filters
SNF: Filter Pruning via Searching the Proper Number of Filters Open
Convolutional Neural Network (CNN) has an amount of parameter redundancy, filter pruning aims to remove the redundant filters and provides the possibility for the application of CNN on terminal devices. However, previous works pay more att…
View article: Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks
Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks Open
View article: Towards Automatic Segmentation and Recognition of Multiple Precast Concrete Elements in Outdoor Laser Scan Data
Towards Automatic Segmentation and Recognition of Multiple Precast Concrete Elements in Outdoor Laser Scan Data Open
To date, to improve construction quality and efficiency and reduce environmental pollution, the use of precast concrete elements (PCEs) has become popular in civil engineering. As PCEs are manufactured in a batch manner and possess complic…