Lemeng Wu
Impact in
-
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
- Human Pose and Action Recognition 2
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
- Co-authors
- Dilin Wang (2 shared papers)Vikas Chandra (4 shared papers)Yunyang Xiong (4 shared papers)Raghuraman Krishnamoorthi (4 shared papers)Xiaoyu Xiang (1 shared paper)Xiaoliang Dai (1 shared paper)Qixing Huang (2 shared papers)Forrest Iandola (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Lemeng Wu
9 papers receiving 133 citations
Lemeng Wu's Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 88
- Computer Graphics and Computer-Aided Design 6
- Media Technology 14
- Geology 8
- Control and Systems Engineering 27
Countries citing papers authored by Lemeng Wu
This map shows the geographic impact of Lemeng Wu'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 Lemeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lemeng Wu more than expected).
Fields of papers citing papers by Lemeng Wu
This network shows the impact of papers produced by Lemeng Wu. 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 Lemeng Wu. The network helps show where Lemeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lemeng Wu, 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 | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything Hit paper breakdown → | 2024 | 74 |
| 2 | Generating Animated Videos of Human Activities from Natural Language Descriptions | 2018 | 27 |
| 3 | 2021 | 8 | |
| 4 | 2019 | 8 | |
| 5 | 2023 | 7 | |
| 6 | Splitting Steepest Descent for Growing Neural Architectures | 2019 | 6 |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 |
About Lemeng Wu
Lemeng Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 10 papers that have together received 134 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (88 citations), Computer Graphics and Computer-Aided Design (6 citations), Media Technology (14 citations), Geology (8 citations) and Control and Systems Engineering (27 citations). Lemeng Wu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Dilin Wang, Vikas Chandra, Yunyang Xiong, Raghuraman Krishnamoorthi, Xiaoyu Xiang, Xiaoliang Dai, Qixing Huang, Forrest Iandola, Fanyi Xiao and Chenchen Zhu. Their work appears in journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Neural Information Processing Systems.
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.