AJ Piergiovanni

839 citations
13 papers · 127 · h-index 5

Impact in

    • Human Pose and Action Recognition
    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Video Analysis and Summarization
    • Anomaly Detection Techniques and Applications
    • Domain Adaptation and Few-Shot Learning

Papers in

AJ Piergiovanni

11 papers receiving 126 citations

Peers

AJ Piergiovanni
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
Replace Hangjie Yuan with:
Hangjie Yuan China
Gabriele Graffieti Italy
Mingqian Tang China
Wendong Zhang China
Evgeniya Ustinova Russia
Evgenii Zheltonozhskii Israel
Zhongwei Cheng China
Yingya Zhang China
Dezhao Luo China
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Citations per field
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Hangjie Yuan · 1×
Citations per year

Countries citing papers authored by AJ Piergiovanni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with AJ Piergiovanni Line = papers co-authored together AJ Piergiovanni links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
TokenLearner: Adaptive Space-Time Tokenization for Videos
202152
2 202328
3 201718
4 202112
5 20244
6 20203
7 20193
8
Learning Shared Multimodal Embeddings with Unpaired Data.
20182
9 20242
10 20182
11 20211
12 20250
13 20240

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.

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