Antoine Yang
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
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- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Multimodal Machine Learning Applications 7
- Advanced Image and Video Retrieval Techniques 2
- Human Pose and Action Recognition 2
- Video Analysis and Summarization 1
- Image Retrieval and Classification Techniques 1
- Advanced Neural Network Applications 1
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- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 1
- Co-authors
- Cordelia Schmid (5 shared papers)Josef Šivic (4 shared papers)Ivan Laptev (4 shared papers)Antoine Miech (4 shared papers)Arsha Nagrani (1 shared paper)Paul Hongsuck Seo (1 shared paper)Jordi Pont-Tuset (1 shared paper)Gül Varol (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Machine Learning (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- FranceUnited KingdomSlovakia
In The Last Decade
Antoine Yang
7 papers receiving 209 citations
Antoine Yang's Hit Papers
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 80
- Language and Linguistics 8
- Health Informatics 1
- Signal Processing 7
Countries citing papers authored by Antoine Yang
This map shows the geographic impact of Antoine Yang'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 Antoine Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Yang more than expected).
Fields of papers citing papers by Antoine Yang
This network shows the impact of papers produced by Antoine Yang. 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 Antoine Yang. The network helps show where Antoine Yang may publish in the future.
Co-authors
The 14 scholars most cited alongside Antoine Yang, 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 | Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning Hit paper breakdown → | 2023 | 102 |
| 2 | 2022 | 61 | |
| 3 | 2022 | 19 | |
| 4 | 2024 | 18 | |
| 5 | 2021 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2024 | 2 |
About Antoine Yang
Antoine Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 217 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (1 paper), Topic Modeling (1 paper), Image Retrieval and Classification Techniques (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Artificial Intelligence (80 citations), Language and Linguistics (8 citations), Health Informatics (1 citation) and Signal Processing (7 citations). Antoine Yang has collaborated with scholars based in France, United Kingdom and Slovakia. Frequent co-authors include Cordelia Schmid, Josef Šivic, Ivan Laptev, Antoine Miech, Arsha Nagrani, Paul Hongsuck Seo, Jordi Pont-Tuset, Gül Varol, Jun Wang and Pedro M. Esperança. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 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.