Daniel Vlasic
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Face recognition and analysis
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Advanced Vision and Imaging 13
- Face recognition and analysis 8
- Face and Expression Recognition 4
- Human Pose and Action Recognition 3
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- 3D Shape Modeling and Analysis 10
- Co-authors
- Jovan Popović (14 shared papers)Wojciech Matusik (11 shared papers)Ilya Baran (6 shared papers)Hanspeter Pfister (8 shared papers)Matthew Brand (4 shared papers)Markus Groß (3 shared papers)Giovanni Vannucci (3 shared papers)Rolf Adelsberger (3 shared papers)
- Journals
- ACM Transactions on Graphics (8 papers)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (1 paper)Electronic Imaging (1 paper)Neural Information Processing Systems (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Daniel Vlasic
23 papers receiving 2.3k citations
Daniel Vlasic's Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Graphics and Computer-Aided Design 512
- Computer Vision and Pattern Recognition 1.9k
- Computational Mathematics 38
- Computational Mechanics 1.0k
- Human-Computer Interaction 147
Countries citing papers authored by Daniel Vlasic
This map shows the geographic impact of Daniel Vlasic'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 Daniel Vlasic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vlasic more than expected).
Fields of papers citing papers by Daniel Vlasic
This network shows the impact of papers produced by Daniel Vlasic. 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 Daniel Vlasic. The network helps show where Daniel Vlasic may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vlasic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Articulated mesh animation from multi-view silhouettes Hit paper breakdown → | 2008 | 401 |
| 2 | 2005 | 373 | |
| 3 | 2007 | 195 | |
| 4 | 2018 | 179 | |
| 5 | 2007 | 163 | |
| 6 | 2009 | 148 | |
| 7 | 2008 | 126 | |
| 8 | 2011 | 107 | |
| 9 | 2011 | 96 | |
| 10 | 2009 | 85 | |
| 11 | 2012 | 74 | |
| 12 | 2021 | 71 | |
| 13 | 2009 | 59 | |
| 14 | 2006 | 58 | |
| 15 | 2021 | 56 | |
| 16 | 2005 | 51 | |
| 17 | 2021 | 31 | |
| 18 | ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction | 2021 | 29 |
| 19 | 2009 | 23 | |
| 20 | 2003 | 19 |
About Daniel Vlasic
Daniel Vlasic is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Aerospace Engineering, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), 3D Shape Modeling and Analysis (10 papers), Face recognition and analysis (8 papers), Computer Graphics and Visualization Techniques (7 papers), Human Motion and Animation (5 papers), Face and Expression Recognition (4 papers), Human Pose and Action Recognition (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (512 citations), Computer Vision and Pattern Recognition (1.9k citations), Computational Mathematics (38 citations), Computational Mechanics (1.0k citations) and Human-Computer Interaction (147 citations). Daniel Vlasic has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Jovan Popović, Wojciech Matusik, Ilya Baran, Hanspeter Pfister, Matthew Brand, Markus Groß, Giovanni Vannucci, Rolf Adelsberger, John Barnwell and Forrester Cole. Their work appears in journals such as ACM Transactions on Graphics, Digital Access to Scholarship at Harvard (DASH) (Harvard University), Electronic Imaging, Neural Information Processing Systems and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.