Kyle Genova
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- Computer Graphics and Visualization Techniques 6
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- Advanced Vision and Imaging 8
- Human Pose and Action Recognition 4
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 7
- Geology top 5%
- 3D Surveying and Cultural Heritage 2
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- Metaheuristic Optimization Algorithms Research 2
- Machine Learning and Algorithms 1
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- Human Motion and Animation 1
- Co-authors
- Thomas FunkhouserForrester ColeAaron SarnaAndrea TagliasacchiAvneesh SudZhicheng WangHoward ZhouJonathan T. Barron
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Algorithmica (1 paper)Lecture notes in computer science (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Kyle Genova
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Graphics and Computer-Aided Design 597
- Computer Vision and Pattern Recognition 1.1k
- Computational Mechanics 621
- Geology 130
- Health Informatics 7
Countries citing papers authored by Kyle Genova
This map shows the geographic impact of Kyle Genova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kyle Genova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Genova more than expected).
Fields of papers citing papers by Kyle Genova
This network shows the impact of papers produced by Kyle Genova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kyle Genova. The network helps show where Kyle Genova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyle Genova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | OpenScene: 3D Scene Understanding with Open Vocabulariesbreakdown → | 2023 | 145 |
| 3 | 2023 | 20 | |
| 4 | 2022 | 122 | |
| 5 | IBRNet: Learning Multi-View Image-Based Renderingbreakdown → | 2021 | 393 |
| 6 | 2021 | 28 | |
| 7 | 2021 | 30 | |
| 8 | Local Deep Implicit Functions for 3D Shapebreakdown → | 2020 | 229 |
| 9 | 2020 | 127 | |
| 10 | CvxNet: Learnable Convex Decompositionbreakdown → | 2020 | 106 |
| 11 | Deep Structured Implicit Functions | 2019 | 10 |
| 12 | 2018 | 174 | |
| 13 | 2017 | 10 | |
| 14 | 2015 | 1 |
About Kyle Genova
Kyle Genova is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Geology, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (6 papers), Human Pose and Action Recognition (4 papers), Metaheuristic Optimization Algorithms Research (2 papers), 3D Surveying and Cultural Heritage (2 papers), Machine Learning and Algorithms (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (597 citations), Computer Vision and Pattern Recognition (1.1k citations), Computational Mechanics (621 citations), Geology (130 citations) and Health Informatics (7 citations). Kyle Genova has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Thomas Funkhouser, Forrester Cole, Aaron Sarna, Andrea Tagliasacchi, Avneesh Sud, Zhicheng Wang, Howard Zhou, Jonathan T. Barron, Qianqian Wang and Noah Snavely. Their work appears in journals such as Algorithmica, Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.