Kyle Genova
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
Papers in
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- Advanced Vision and Imaging 8
- Human Pose and Action Recognition 5
- Multimodal Machine Learning Applications 2
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- 3D Shape Modeling and Analysis 8
- Co-authors
- Thomas Funkhouser (9 shared papers)Forrester Cole (4 shared papers)Aaron Sarna (3 shared papers)Andrea Tagliasacchi (3 shared papers)Avneesh Sud (3 shared papers)Pratul P. Srinivasan (1 shared paper)Qianqian Wang (1 shared paper)Noah Snavely (1 shared paper)
- Journals
- Algorithmica (1 paper)Lecture notes in computer science (2 papers)ArXiv.org (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Kyle Genova
15 papers receiving 1.7k citations
Kyle Genova's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Graphics and Computer-Aided Design 705
- Computer Vision and Pattern Recognition 1.3k
- Computational Mechanics 762
- Geology 158
- Health Informatics 11
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-authors
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 | IBRNet: Learning Multi-View Image-Based Rendering Hit paper breakdown → | 2021 | 488 |
| 2 | Local Deep Implicit Functions for 3D Shape Hit paper breakdown → | 2020 | 262 |
| 3 | 2018 | 203 | |
| 4 | OpenScene: 3D Scene Understanding with Open Vocabularies Hit paper breakdown → | 2023 | 197 |
| 5 | 2020 | 167 | |
| 6 | Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation Hit paper breakdown → | 2022 | 154 |
| 7 | CvxNet: Learnable Convex Decomposition Hit paper breakdown → | 2020 | 132 |
| 8 | 2021 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2023 | 27 | |
| 11 | 2024 | 15 | |
| 12 | Deep Structured Implicit Functions | 2019 | 13 |
| 13 | 2017 | 11 | |
| 14 | 2024 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2025 | 0 |
About Kyle Genova
Kyle Genova is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Control and Systems Engineering, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (6 papers), Human Pose and Action Recognition (5 papers), 3D Surveying and Cultural Heritage (2 papers), Multimodal Machine Learning Applications (2 papers), Human Motion and Animation (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (705 citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mechanics (762 citations), Geology (158 citations) and Health Informatics (11 citations). Kyle Genova has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Thomas Funkhouser, Forrester Cole, Aaron Sarna, Andrea Tagliasacchi, Avneesh Sud, Pratul P. Srinivasan, Qianqian Wang, Noah Snavely, Zhicheng Wang and Howard Zhou. Their work appears in journals such as Algorithmica, Lecture notes in computer science, ArXiv.org, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.