Daniel Vlasic

4.1k total citations · 1 hit paper
24 papers, 2.4k citations indexed

About

Daniel Vlasic is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Daniel Vlasic has authored 24 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Daniel Vlasic's work include Advanced Vision and Imaging (13 papers), 3D Shape Modeling and Analysis (10 papers) and Face recognition and analysis (8 papers). Daniel Vlasic is often cited by papers focused on Advanced Vision and Imaging (13 papers), 3D Shape Modeling and Analysis (10 papers) and Face recognition and analysis (8 papers). Daniel Vlasic collaborates with scholars based in United States, Switzerland and Japan. Daniel Vlasic's co-authors include Jovan Popović, Wojciech Matusik, Ilya Baran, Hanspeter Pfister, Matthew Brand, Rolf Adelsberger, Giovanni Vannucci, Markus Groß, John Barnwell and Forrester Cole and has published in prestigious journals such as ACM Transactions on Graphics, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Daniel Vlasic

23 papers receiving 2.3k citations

Hit Papers

Articulated mesh animation from multi-view silhouettes 2008 2026 2014 2020 2008 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Articulated mesh animation from multi-view silhouettes
    2008 401 citations Daniel Vlasic, Ilya Baran et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Vlasic United States 20 1.9k 1.0k 510 434 239 24 2.4k
Albert Pumarola Spain 13 1.8k 0.9× 607 0.6× 517 1.0× 288 0.7× 386 1.6× 23 2.1k
Tao Yu China 22 1.4k 0.7× 994 1.0× 518 1.0× 255 0.6× 154 0.6× 90 2.0k
Vladislav Golyanik Germany 17 1.1k 0.6× 479 0.5× 361 0.7× 309 0.7× 207 0.9× 67 1.4k
Matthew Loper Germany 12 2.4k 1.2× 1.6k 1.6× 590 1.2× 673 1.6× 133 0.6× 18 3.0k
Sameh Khamis United States 14 1.5k 0.8× 680 0.7× 629 1.2× 264 0.6× 192 0.8× 23 1.8k
Christoph Rhemann United Kingdom 27 3.5k 1.8× 407 0.4× 536 1.1× 192 0.4× 600 2.5× 42 3.9k
Jernej Barbič United States 24 896 0.5× 1.1k 1.1× 739 1.4× 847 2.0× 71 0.3× 66 2.3k
Ilya Baran United States 24 1.7k 0.9× 1.9k 1.8× 1.3k 2.6× 791 1.8× 160 0.7× 43 2.9k
Carsten Stoll Germany 20 1.7k 0.9× 965 0.9× 475 0.9× 445 1.0× 178 0.7× 30 2.0k
Shubham Tulsiani United States 17 1.2k 0.6× 696 0.7× 442 0.9× 276 0.6× 321 1.3× 36 1.6k

Countries citing papers authored by Daniel Vlasic

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Vlasic

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Vlasic. A scholar is included among the top collaborators of Daniel Vlasic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Vlasic. Daniel Vlasic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Tian–Li & Daniel Vlasic. (2025). Automating Product Image Analysis for Retail with Gemini. Electronic Imaging. 37(8). 262–1.
2.
Yang, Gengshan, Deqing Sun, Varun Jampani, et al.. (2021). ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. Neural Information Processing Systems. 34. 29 indexed citations
3.
Sun, Deqing, Daniel Vlasic, Charles Herrmann, et al.. (2021). AutoFlow: Learning a Better Training Set for Optical Flow. 10088–10097. 69 indexed citations
4.
Yang, Gengshan, Deqing Sun, Varun Jampani, et al.. (2021). LASR: Learning Articulated Shape Reconstruction from a Monocular Video. 15975–15984. 51 indexed citations
5.
Cole, Forrester, Kyle Genova, Avneesh Sud, Daniel Vlasic, & Zhoutong Zhang. (2021). Differentiable Surface Rendering via Non-Differentiable Sampling. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6068–6077. 30 indexed citations
6.
Li, Hao, Linjie Luo, Daniel Vlasic, et al.. (2012). Temporally coherent completion of dynamic shapes. ACM Transactions on Graphics. 31(1). 1–11. 74 indexed citations
7.
Dale, Kevin, Kalyan Sunkavalli, Micah K. Johnson, et al.. (2011). Video face replacement. 1–10. 107 indexed citations
8.
Dale, Kevin, Kalyan Sunkavalli, Micah K. Johnson, et al.. (2011). Video face replacement. ACM Transactions on Graphics. 30(6). 1–10. 95 indexed citations
9.
Vlasic, Daniel, Pieter Peers, Ilya Baran, et al.. (2009). Dynamic shape capture using multi-view photometric stereo. ACM Transactions on Graphics. 28(5). 1–11. 148 indexed citations
10.
Baran, Ilya, Daniel Vlasic, Eitan Grinspun, & Jovan Popović. (2009). Semantic deformation transfer. 1–6. 23 indexed citations
11.
Vlasic, Daniel, Pieter Peers, Ilya Baran, et al.. (2009). Dynamic shape capture using multi-view photometric stereo. 1–11. 58 indexed citations
12.
Baran, Ilya, Daniel Vlasic, Eitan Grinspun, & Jovan Popović. (2009). Semantic deformation transfer. ACM Transactions on Graphics. 28(3). 1–6. 85 indexed citations
13.
Vlasic, Daniel, Ilya Baran, Wojciech Matusik, & Jovan Popović. (2008). Articulated mesh animation from multi-view silhouettes. ACM Transactions on Graphics. 27(3). 1–9. 401 indexed citations breakdown →
14.
Vlasic, Daniel, Ilya Baran, Wojciech Matusik, & Jovan Popović. (2008). Articulated mesh animation from multi-view silhouettes. 1–9. 126 indexed citations
15.
Vlasic, Daniel, Rolf Adelsberger, Giovanni Vannucci, et al.. (2007). Practical motion capture in everyday surroundings. ACM Transactions on Graphics. 26(99). 35–35. 12 indexed citations
16.
Vlasic, Daniel, Rolf Adelsberger, Giovanni Vannucci, et al.. (2007). Practical motion capture in everyday surroundings. ACM Transactions on Graphics. 26(3). 35–35. 162 indexed citations
17.
Vlasic, Daniel, Matthew Brand, Hanspeter Pfister, & Jovan Popović. (2006). Face transfer with multilinear models. 56 indexed citations
18.
Vlasic, Daniel, Matthew Brand, Hanspeter Pfister, & Jovan Popović. (2005). Face transfer with multilinear models. 426–433. 51 indexed citations
19.
Vlasic, Daniel, Matthew Brand, Hanspeter Pfister, & Jovan Popović. (2004). Multilinear models for face synthesis. 56–56. 6 indexed citations
20.
Vlasic, Daniel, et al.. (2003). Opacity light fields. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 65–74. 19 indexed citations

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.

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