Antoine Yang

About

Antoine Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial relations. According to data from OpenAlex, Antoine Yang has authored 7 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 0 papers in Industrial relations. Recurrent topics in Antoine Yang’s work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Video Analysis and Summarization (2 papers). Antoine Yang is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Video Analysis and Summarization (2 papers). Antoine Yang collaborates with scholars based in France, Czechia and United Kingdom. Antoine Yang's co-authors include Cordelia Schmid, Josef Šivic, Ivan Laptev, Antoine Miech, Arsha Nagrani, Jordi Pont-Tuset, Paul Hongsuck Seo, Gül Varol, Vasco Lopes and Fabio Maria Carlucci and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Antoine Yang i

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Fields of papers citing papers by Antoine Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Antoine Yang

Since Specialization

Citations

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).

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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