Bill Freeman
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 5%
- Control and Systems Engineering
- Co-authors
- Josh TenenbaumJiajun WuZhoutong ZhangChengkai ZhangAntonio TorralbaJun-Yan ZhuGregory W. WornellErika Lu
- Topics
- Advanced Vision and Imaging (8 papers)Computer Graphics and Visualization Techniques (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionAcoustics and Ultrasonics
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Bill Freeman
19 papers receiving 286 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 244
- Computational Mechanics 85
- Artificial Intelligence 80
- Computer Graphics and Computer-Aided Design 73
- Control and Systems Engineering 19
Countries citing papers authored by Bill Freeman
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
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-authorship network of co-authors of Bill Freeman
This figure shows the co-authorship network connecting the top 25 collaborators of Bill Freeman. A scholar is included among the top collaborators of Bill Freeman 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 Bill Freeman. Bill Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | Visual Object Networks: Image Generation with Disentangled 3D Representations | 66 |
| 5 | Learning to Reconstruct Shapes from Unseen Classes | 17 |
| 6 | Learning to Exploit Stability for 3D Scene Parsing | 18 |
| 7 | 10 | |
| 8 | 49 | |
| 9 | Shape and material from sound | 12 |
| 10 | Learning to See Physics via Visual De-animation | 42 |
| 11 | MarrNet: 3D Shape Reconstruction via 2.5D Sketches | 28 |
| 12 | 2 | |
| 13 | Shape and Illumination from Shading using the Generic Viewpoint Assumption | 11 |
| 14 | 1 | |
| 15 | Nonparametric Bayesian Texture Learning and Synthesis | 1 |
| 16 | 1 | |
| 17 | 21 | |
| 18 | 4 | |
| 19 | 1 |
About Bill Freeman
Bill Freeman is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, 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) and Generative Adversarial Networks and Image Synthesis (3 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) and Acoustics and Ultrasonics (5 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, Gregory W. Wornell, Erika Lu, Pushmeet Kohli and Prasanna Sattigeri. Their work appears in journals such as ACM Transactions on Graphics, Applied Surface Science and Journal of Vision.
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.