Search Results for author: Wei Yan

Found 13 papers, 2 papers with code

Multi-3D-Models Registration-Based Augmented Reality (AR) Instructions for Assembly

no code implementations27 Nov 2023 Seda Tuzun Canadinc, Wei Yan

Thus, using fewer phases simplifies the complex assembly process while step count facilitates accurate object recognition and precise visualization of each step.

3D Assembly Object Recognition

Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design

no code implementations1 Aug 2023 Jaechang Ko, John Ajibefun, Wei Yan

By integrating ChatGPT for scripting and Veras for generating design ideas with widely used parametric modeling and BIM tools, the framework provides architects with an intuitive and powerful method to convey design intent, leading to more efficient, creative, and collaborative design processes.

Image Generation

DIME-Net: Neural Network-Based Dynamic Intrinsic Parameter Rectification for Cameras with Optical Image Stabilization System

no code implementations20 Mar 2023 Shu-Hao Yeh, Shuangyu Xie, Di Wang, Wei Yan, Dezhen Song

Here we propose a novel neural network-based approach that estimates $\mathrm{K}$ matrix in real-time so that pose estimation or scene reconstruction can be run at camera native resolution for the highest accuracy on mobile devices.

3D Reconstruction Pose Estimation

Deep Learning from Parametrically Generated Virtual Buildings for Real-World Object Recognition

no code implementations3 Jan 2023 Mohammad Alawadhi, Wei Yan

We study the use of parametric building information modeling (BIM) to automatically generate training data for artificial neural networks (ANNs) to recognize building objects in photos.

3D Reconstruction Object Recognition +1

Optimization simulation of reflow welding based on prediction of regional center temperature field

no code implementations21 Jun 2022 Yuan Sui, Fan-yang Bu, Zi-long Shao, Wei Yan

According to the heat conduction law and the specific heat capacity formula, the first-order ordinary differential equation of the central temperature curve of the welding area with respect to the temperature distribution function in the furnace on the conveyor belt displacement is obtained.

Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition

no code implementations12 Apr 2022 Yuan Sui, Fanyang Bu, Yingting Hu, Wei Yan, Liang Zhang

Nested named entity recognition (NER) aims to identify the entity boundaries and recognize categories of the named entities in a complex hierarchical sentence.

named-entity-recognition Named Entity Recognition +2

Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape

no code implementations29 Aug 2021 Farnaz Nazari, Wei Yan

A building self-shading shape impacts substantially on the amount of direct sunlight received by the building and contributes significantly to building operational energy use, in addition to other major contributing variables, such as materials and window-to-wall ratios.

BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning

no code implementations10 May 2021 Mohammad Alawadhi, Wei Yan

We created methods for using renderings to train a deep learning model, trained a generative adversarial network (GAN) model using these methods, and tested the output model on real-world photos.

Object Recognition

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data

1 code implementation2 Dec 2020 Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Weijun Sun

To address these concerns, we present a partially shared semi-supervised deep matrix factorization model (PSDMF).


AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System

no code implementations10 Jun 2020 Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan

Specifically, AMEIR divides the complete recommendation models into three stages of behavior modeling, interaction exploration, MLP aggregation, and introduces a novel search space containing three tailored subspaces that cover most of the existing methods and thus allow for searching better models.

Feature Engineering Neural Architecture Search +1

Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset

no code implementations28 Dec 2019 Zohreh Shaghaghian, Wei Yan

In this study, an object recognition problem is investigated to initially predict the label of unseen sample images based on training dataset consisting of different types of synthetic 2D shapes; later, a generative DL algorithm is applied to be trained and generate new shapes for given labels.

Object Recognition

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

no code implementations18 Apr 2019 Wei Yan, Yiting shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li

Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving.

Autonomous Driving Image Compression +1

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