Search Results for author: Xiao Ling

Found 19 papers, 4 papers with code

Layout2Rendering: AI-aided Greenspace design

no code implementations21 Apr 2024 Ran Chen, Zeke Lian, Yueheng He, Xiao Ling, Fuyu Yang, Xueqi Yao, Xingjian Yi, Jing Zhao

Experimental results show that: (1) the system, with the aid of AI-assisted technology, can rapidly generate space green space schemes that meet the designer's perspective based on site conditions; (2) this study has vectorized and three-dimensionalized various types of landscape design elements based on semantic information; (3) the analysis and visualization module constructed in this study can perform landscape analysis on the generated three-dimensional models and produce node effect diagrams, allowing users to modify the design in real time based on the effects, thus enhancing the system's interactivity.

l1-norm regularized l1-norm best-fit lines

no code implementations26 Feb 2024 Xiao Ling, Paul Brooks

Compared to extant methodologies, the proposed algorithm finds the subspace with the lowest discordance, offering a smoother trade-off between sparsity and fit.

Large-scale and Efficient Texture Mapping Algorithm via Loopy Belief Propagation

no code implementations8 May 2023 Xiao Ling, Rongjun Qin

Texture mapping as a fundamental task in 3D modeling has been well established for well-acquired aerial assets under consistent illumination, yet it remains a challenge when it is scaled to large datasets with images under varying views and illuminations.

A Graph-Matching Approach for Cross-view Registration of Over-view 2 and Street-view based Point Clouds

no code implementations14 Feb 2022 Xiao Ling, Rongjun Qin

In this paper, based on the assumption that the object boundaries (e. g., buildings) from the over-view data should coincide with footprints of fa\c{c}ade 3D points generated from street-view photogrammetric images, we aim to address this problem by proposing a fully automated geo-registration method for cross-view data, which utilizes semantically segmented object boundaries as view-invariant features under a global optimization framework through graph-matching: taking the over-view point clouds generated from stereo/multi-stereo satellite images and the street-view point clouds generated from monocular video images as the inputs, the proposed method models segments of buildings as nodes of graphs, both detected from the satellite-based and street-view based point clouds, thus to form the registration as a graph-matching problem to allow non-rigid matches; to enable a robust solution and fully utilize the topological relations between these segments, we propose to address the graph-matching problem on its conjugate graph solved through a belief-propagation algorithm.

Graph Matching

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

1 code implementation Findings (EMNLP) 2021 Maya Varma, Laurel Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré

Named entity disambiguation (NED), which involves mapping textual mentions to structured entities, is particularly challenging in the medical domain due to the presence of rare entities.

Data Integration Entity Disambiguation

Graph-based Incident Aggregation for Large-Scale Online Service Systems

1 code implementation27 Aug 2021 Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu

The proposed framework is evaluated with real-world incident data collected from a large-scale online service system of Huawei Cloud.

Graph Representation Learning Management

Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems

no code implementations11 Aug 2021 Laurel Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski

The industrial machine learning pipeline requires iterating on model features, training and deploying models, and monitoring deployed models at scale.

A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse

no code implementations5 Aug 2021 Ningli Xu, Debao Huang, Shuang Song, Xiao Ling, Chris Strasbaugh, Alper Yilmaz, Halil Sezen, Rongjun Qin

In this paper, we present a case study that performs an unmanned aerial vehicle (UAV) based fine-scale 3D change detection and monitoring of progressive collapse performance of a building during a demolition event.

Change Detection Pose Estimation +2

A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images

no code implementations1 Jul 2021 Xiao Ling, Xu Huang, Rongjun Qin

Bundle adjustment (BA) is a technique for refining sensor orientations of satellite images, while adjustment accuracy is correlated with feature matching results.

3D Reconstruction through Fusion of Cross-View Images

no code implementations27 Jun 2021 Rongjun Qin, Shuang Song, Xiao Ling, Mostafa Elhashash

3D recovery from multi-stereo and stereo images, as an important application of the image-based perspective geometry, serves many applications in computer vision, remote sensing and Geomatics.

3D Reconstruction Point Cloud Generation

Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing

no code implementations ICCV 2021 Piaopiao Yu, Jie Guo, Fan Huang, Cheng Zhou, Hongwei Che, Xiao Ling, Yanwen Guo

However, naively compressing an outdoor panorama into a low-dimensional latent vector, as existing models have done, causes two major problems.

Representation Learning

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

1 code implementation20 Oct 2020 Laurel Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Re

A challenge for named entity disambiguation (NED), the task of mapping textual mentions to entities in a knowledge base, is how to disambiguate entities that appear rarely in the training data, termed tail entities.

 Ranked #1 on Entity Disambiguation on AIDA-CoNLL (Micro-F1 metric)

Entity Disambiguation Relation Extraction

How Different is Test Case Prioritization for Open and Closed Source Projects?

no code implementations3 Aug 2020 Xiao Ling, Rishabh Agrawal, Tim Menzies

Improved test case prioritization means that software developers can detect and fix more software faults sooner than usual.

Software Engineering

Improving Knowledge Base Construction from Robust Infobox Extraction

no code implementations NAACL 2019 Boya Peng, Yejin Huh, Xiao Ling, Michele Banko

One important approach to constructing a comprehensive knowledge base is to extract information from Wikipedia infobox tables to populate an existing KB.

Entity Disambiguation Entity Linking +2

Recurrent Attention Unit

no code implementations30 Oct 2018 Guoqiang Zhong, Guohua Yue, Xiao Ling

In this paper, we propose a RNN model, called Recurrent Attention Unit (RAU), which seamlessly integrates the attention mechanism into the interior of GRU by adding an attention gate.

General Classification Handwriting Recognition +4

Design Challenges for Entity Linking

no code implementations TACL 2015 Xiao Ling, Sameer Singh, Daniel S. Weld

Recent research on entity linking (EL) has introduced a plethora of promising techniques, ranging from deep neural networks to joint inference.

Entity Linking Relation Extraction +1

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