Basile Van Hoorick

704 citations
3 papers · 310 indexed · 1 hit paper · h-index 3
Topics
Advanced Vision and Imaging (2 papers)Advanced Neural Network Applications (2 papers)Computer Graphics and Visualization Techniques (1 paper)
Journals
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Partner nations
United States

In The Last Decade

Basile Van Hoorick

3 papers receiving 301 citations

Hit Papers

Zero-1-to-3: Zero-shot One Image to 3D Object2023202620242025202350100150200250

Peers

Basile Van Hoorick
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 218
  • Computer Graphics and Computer-Aided Design 139
  • Computational Mechanics 127
  • Control and Systems Engineering 43
  • Geology 30
Replace Eli VanderBilt with:
Eli VanderBilt United States
Ruizhi Shao China
Dustin Schwenk United States
Matt Deitke United States
Oscar Michel United States
Ignas Budvytis United Kingdom
Ang Cao United States
Tristan Laidlow United Kingdom
Alex Evans United Kingdom
Tianchang Shen Canada
Basile Van Hoorick relative to Eli VanderBilt United States Eli VanderBilt's profile →
Citations per field
00.5×1.5×
Eli VanderBilt · 1×
Citations per year

Countries citing papers authored by Basile Van Hoorick

Since Specialization
Citations

This map shows the geographic impact of Basile Van Hoorick'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 Basile Van Hoorick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basile Van Hoorick more than expected).

Fields of papers citing papers by Basile Van Hoorick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basile Van Hoorick. 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 Basile Van Hoorick. The network helps show where Basile Van Hoorick may publish in the future.

Co-authorship network of co-authors of Basile Van Hoorick

This figure shows the co-authorship network connecting the top 25 collaborators of Basile Van Hoorick. A scholar is included among the top collaborators of Basile Van Hoorick 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 Basile Van Hoorick. Basile Van Hoorick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Zero-1-to-3: Zero-shot One Image to 3D Objectbreakdown →
298
2 5
3 7

About Basile Van Hoorick

Basile Van Hoorick is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 3 papers that have together received 310 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (139 citations), Computer Vision and Pattern Recognition (218 citations) and Computational Mechanics (127 citations). Basile Van Hoorick has collaborated with scholars based in United States. Frequent co-authors include Carl Vondrick, Pavel Tokmakov, Ruoshi Liu, Sergey Zakharov, Rundi Wu, Simon Stent, Dídac Surís and Jie Li. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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