AJ Piergiovanni
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
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- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Multimodal Machine Learning Applications 8
- Human Pose and Action Recognition 6
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- Natural Language Processing Techniques 2
- Reinforcement Learning in Robotics 2
- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Anelia Angelova (6 shared papers)Michael S. Ryoo (8 shared papers)Anurag Arnab (1 shared paper)Mostafa Dehghani (1 shared paper)Weicheng Kuo (1 shared paper)Chenyou Fan (1 shared paper)Dahun Kim (2 shared papers)Isaac Noble (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Cognition (1 paper)SHILAP Revista de lepidopterología (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
AJ Piergiovanni
11 papers receiving 126 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 100
- Artificial Intelligence 72
- Human-Computer Interaction 8
- Signal Processing 9
- General Decision Sciences 1
Countries citing papers authored by AJ Piergiovanni
This map shows the geographic impact of AJ Piergiovanni'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 AJ Piergiovanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AJ Piergiovanni more than expected).
Fields of papers citing papers by AJ Piergiovanni
This network shows the impact of papers produced by AJ Piergiovanni. 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 AJ Piergiovanni. The network helps show where AJ Piergiovanni may publish in the future.
Co-authors
The 11 scholars most cited alongside AJ Piergiovanni, 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 | TokenLearner: Adaptive Space-Time Tokenization for Videos | 2021 | 52 |
| 2 | 2023 | 28 | |
| 3 | 2017 | 18 | |
| 4 | 2021 | 12 | |
| 5 | 2024 | 4 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 3 | |
| 8 | Learning Shared Multimodal Embeddings with Unpaired Data. | 2018 | 2 |
| 9 | 2024 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 |
About AJ Piergiovanni
AJ Piergiovanni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Sociology and Political Science, having authored 13 papers that have together received 127 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers), Natural Language Processing Techniques (2 papers), Reinforcement Learning in Robotics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Music and Audio Processing (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Artificial Intelligence (72 citations), Human-Computer Interaction (8 citations), Signal Processing (9 citations) and General Decision Sciences (1 citation). AJ Piergiovanni has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anelia Angelova, Michael S. Ryoo, Anurag Arnab, Mostafa Dehghani, Weicheng Kuo, Chenyou Fan, Dahun Kim, Isaac Noble, Jenq–Neng Hwang and Alan H.B. Wu. Their work appears in journals such as International Journal of Computer Vision, Cognition, SHILAP Revista de lepidopterología, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.