Lemeng Wu
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
Papers in
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- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 2
- Advanced Vision and Imaging 2
- Generative Adversarial Networks and Image Synthesis 2
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Dilin Wang (3 shared papers)Vikas Chandra (4 shared papers)Raghuraman Krishnamoorthi (4 shared papers)Yunyang Xiong (4 shared papers)Fanyi Xiao (2 shared papers)Chenchen Zhu (2 shared papers)Xiaoyu Xiang (1 shared paper)Forrest Iandola (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Lemeng Wu
10 papers receiving 180 citations
Lemeng Wu's Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 112
- Computer Graphics and Computer-Aided Design 11
- Media Technology 17
- Geology 10
- Control and Systems Engineering 32
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 | 113 |
| 2 | Generating Animated Videos of Human Activities from Natural Language Descriptions | 2018 | 27 |
| 3 | 2023 | 14 | |
| 4 | 2019 | 9 | |
| 5 | 2021 | 8 | |
| 6 | Splitting Steepest Descent for Growing Neural Architectures | 2019 | 6 |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 |
About Lemeng Wu
Lemeng Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 182 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Vision and Imaging (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Green IT and Sustainability (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (112 citations), Computer Graphics and Computer-Aided Design (11 citations), Media Technology (17 citations), Geology (10 citations) and Control and Systems Engineering (32 citations). Lemeng Wu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dilin Wang, Vikas Chandra, Raghuraman Krishnamoorthi, Yunyang Xiong, Fanyi Xiao, Chenchen Zhu, Xiaoyu Xiang, Forrest Iandola, Xiaoliang Dai and Qixing Huang. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence, arXiv (Cornell University) 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.