Michael Lam
Impact in
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- Video Analysis and Summarization
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Papers in
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Video Analysis and Summarization 1
- Image Retrieval and Classification Techniques 1
- Medical Image Segmentation Techniques 1
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- Cell Image Analysis Techniques 1
- Co-authors
- Siniša Todorović (4 shared papers)Behrooz Mahasseni (2 shared papers)Charless C. Fowlkes (1 shared paper)Stefano Soatto (1 shared paper)Alessandro Achille (1 shared paper)Pietro Perona (1 shared paper)Avinash Ravichandran (1 shared paper)Subhransu Maji (1 shared paper)
- Journals
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (3 papers)IEEE International Conference on Computer Vision Workshops (1 paper)IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Michael Lam
6 papers receiving 715 citations
Michael Lam's Hit Papers
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 584
- Artificial Intelligence 170
- Health Informatics 3
- Signal Processing 6
- Human-Computer Interaction 5
Countries citing papers authored by Michael Lam
This map shows the geographic impact of Michael Lam'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 Michael Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lam more than expected).
Fields of papers citing papers by Michael Lam
This network shows the impact of papers produced by Michael Lam. 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 Michael Lam. The network helps show where Michael Lam may publish in the future.
Co-authors
The 16 scholars most cited alongside Michael Lam, 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 | Unsupervised Video Summarization with Adversarial LSTM Networks Hit paper breakdown → | 2017 | 453 |
| 2 | 2019 | 124 | |
| 3 | 2017 | 100 | |
| 4 | 2007 | 34 | |
| 5 | 2015 | 12 | |
| 6 | 2013 | 7 |
About Michael Lam
Michael Lam is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 730 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (1 paper), Video Analysis and Summarization (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Image Retrieval and Classification Techniques (1 paper), Cell Image Analysis Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (584 citations), Artificial Intelligence (170 citations), Health Informatics (3 citations), Signal Processing (6 citations) and Human-Computer Interaction (5 citations). Michael Lam has collaborated with scholars based in United States and Germany. Frequent co-authors include Siniša Todorović, Behrooz Mahasseni, Charless C. Fowlkes, Stefano Soatto, Alessandro Achille, Pietro Perona, Avinash Ravichandran, Subhransu Maji, Ruchaneewan Susomboon and Daniela Stan Raicu. Their work appears in journals such as IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings, IEEE International Conference on Computer Vision Workshops, IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.