Bill Freeman

1.2k citations
19 papers · 302 · h-index 10

Impact in

Papers in

Bill Freeman

19 papers receiving 286 citations

Peers

Bill Freeman
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 73
  • Computer Vision and Pattern Recognition 244
  • Acoustics and Ultrasonics 5
  • Computational Mechanics 85
  • Artificial Intelligence 80
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Chenyang Lei Hong Kong
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Citations per year

Countries citing papers authored by Bill Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Bill Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill Freeman. 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 Bill Freeman. The network helps show where Bill Freeman may publish in the future.

Co-authors

The 25 scholars most cited alongside Bill Freeman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bill Freeman Line = papers co-authored together Bill Freeman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Visual Object Networks: Image Generation with Disentangled 3D Representations
201866
2 201849
3
Learning to See Physics via Visual De-animation
201742
4
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
201728
5 200521
6
Learning to Exploit Stability for 3D Scene Parsing
201818
7
Learning to Reconstruct Shapes from Unseen Classes
201817
8
Shape and material from sound
201712
9
Shape and Illumination from Shading using the Generic Viewpoint Assumption
201411
10 201810
11 20239
12 20196
13 20034
14 20243
15 20162
16
Nonparametric Bayesian Texture Learning and Synthesis
20091
17 20071
18 20111
19 19951

About Bill Freeman

Bill Freeman is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Ocean Engineering and Artificial Intelligence, having authored 19 papers that have together received 302 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Human Pose and Action Recognition (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), 3D Surveying and Cultural Heritage (2 papers), 3D Shape Modeling and Analysis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (73 citations), Computer Vision and Pattern Recognition (244 citations), Acoustics and Ultrasonics (5 citations), Computational Mechanics (85 citations) and Artificial Intelligence (80 citations). Bill Freeman has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Josh Tenenbaum, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Antonio Torralba, Jun-Yan Zhu, Erika Lu, Pushmeet Kohli, Gregory W. Wornell and Joe Marks. Their work appears in journals such as ACM Transactions on Graphics, Applied Surface Science, Journal of Vision, Journal of Quality Assurance in Hospitality & Tourism 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.

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