Matt Deitke
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Processing and 3D Reconstruction
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
Papers in
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- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
- Handwritten Text Recognition Techniques 1
- Image Retrieval and Classification Techniques 1
- Advanced Neural Network Applications 1
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- Robot Manipulation and Learning 1
- Human Motion and Animation 1
- Co-authors
- Aniruddha Kembhavi (6 shared papers)Ali Farhadi (3 shared papers)Luca Weihs (2 shared papers)Dustin Schwenk (1 shared paper)Eli VanderBilt (1 shared paper)Ludwig Schmidt (1 shared paper)Jordi Salvador (1 shared paper)Oscar Michel (1 shared paper)
- Partner nations
- United States
In The Last Decade
Matt Deitke
5 papers receiving 300 citations
Matt Deitke's Hit Papers
Peers
Comparison fields: 5 of 35
- Computer Graphics and Computer-Aided Design 111
- Computer Vision and Pattern Recognition 188
- Geology 37
- Computational Mechanics 118
- Control and Systems Engineering 35
Countries citing papers authored by Matt Deitke
This map shows the geographic impact of Matt Deitke'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 Matt Deitke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Deitke more than expected).
Fields of papers citing papers by Matt Deitke
This network shows the impact of papers produced by Matt Deitke. 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 Matt Deitke. The network helps show where Matt Deitke may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Deitke, 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 | Objaverse: A Universe of Annotated 3D Objects Hit paper breakdown → | 2023 | 291 |
| 2 | 2023 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 3 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 0 |
About Matt Deitke
Matt Deitke is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 312 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Multimodal Machine Learning Applications (2 papers), Robot Manipulation and Learning (1 paper), Handwritten Text Recognition Techniques (1 paper), Human Motion and Animation (1 paper), Image Retrieval and Classification Techniques (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (111 citations), Computer Vision and Pattern Recognition (188 citations), Geology (37 citations), Computational Mechanics (118 citations) and Control and Systems Engineering (35 citations). Matt Deitke has collaborated with scholars based in United States. Frequent co-authors include Aniruddha Kembhavi, Ali Farhadi, Luca Weihs, Dustin Schwenk, Eli VanderBilt, Ludwig Schmidt, Jordi Salvador, Oscar Michel, Kiana Ehsani and Ruoshi Liu.
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.