Erika Lu
Impact in
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- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 2
- Image Enhancement Techniques 2
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image Processing Techniques 2
- Visual Attention and Saliency Detection 2
- Co-authors
- Weidi Xie (3 shared papers)Zihang Lai (1 shared paper)Andrew Zisserman (3 shared papers)Forrester Cole (6 shared papers)Pushmeet Kohli (1 shared paper)Jiajun Wu (1 shared paper)Bill Freeman (1 shared paper)Josh Tenenbaum (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)Lecture notes in computer science (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Erika Lu
9 papers receiving 339 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 308
- Computer Graphics and Computer-Aided Design 28
- Artificial Intelligence 76
- Human-Computer Interaction 10
- Media Technology 13
Countries citing papers authored by Erika Lu
This map shows the geographic impact of Erika Lu'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 Erika Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erika Lu more than expected).
Fields of papers citing papers by Erika Lu
This network shows the impact of papers produced by Erika Lu. 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 Erika Lu. The network helps show where Erika Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Erika Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2021 | 94 | |
| 3 | Learning to See Physics via Visual De-animation | 2017 | 48 |
| 4 | 2020 | 32 | |
| 5 | 2021 | 28 | |
| 6 | 2024 | 23 | |
| 7 | 2023 | 6 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 |
About Erika Lu
Erika Lu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Infectious Diseases, having authored 10 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Enhancement Techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image Processing Techniques (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Computer Graphics and Computer-Aided Design (28 citations), Artificial Intelligence (76 citations), Human-Computer Interaction (10 citations) and Media Technology (13 citations). Erika Lu has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Weidi Xie, Zihang Lai, Andrew Zisserman, Forrester Cole, Pushmeet Kohli, Jiajun Wu, Bill Freeman, Josh Tenenbaum, Tali Dekel and William T. Freeman. Their work appears in journals such as ACM Transactions on Graphics, Lecture notes in computer science, DSpace@MIT (Massachusetts Institute of Technology) 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.