Antoine Yang

886 total citations · 1 hit paper
7 papers, 217 citations indexed

About

Antoine Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Antoine Yang has authored 7 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Antoine Yang's work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Image and Video Retrieval Techniques (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 Advanced Image and Video Retrieval Techniques (2 papers). Antoine Yang collaborates with scholars based in France, United Kingdom and Slovakia. Antoine Yang's co-authors include Cordelia Schmid, Ivan Laptev, Josef Šivic, Antoine Miech, Jordi Pont-Tuset, Paul Hongsuck Seo, Arsha Nagrani, Gül Varol, Hang Xu and Jun Wang 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

Antoine Yang

7 papers receiving 209 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

2023 102 citations Antoine Yang, Arsha Nagrani et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Antoine Yang France	6	181	80	8	7	6	7	217
Kevin Qinghong Lin Singapore	7	146 0.8×	73 0.9×	4 0.5×	11 1.6×	11 1.8×	13	174
Bairui Wang China	3	187 1.0×	36 0.5×	3 0.4×	5 0.7×	5 0.8×	3	203
Pengpeng Zeng China	14	489 2.7×	265 3.3×	5 0.6×	7 1.0×	3 0.5×	32	534
Ruotian Luo United States	5	252 1.4×	160 2.0×	6 0.8×	5 0.7×		6	274
Soravit Changpinyo United States	9	147 0.8×	123 1.5×	4 0.5×	6 0.9×	2 0.3×	16	183
Chaoxi Xu China	8	354 2.0×	161 2.0×	2 0.3×	13 1.9×	5 0.8×	11	384
Byungseok Roh Germany	6	81 0.4×	79 1.0×	2 0.3×	9 1.3×	6 1.0×	6	134
Silvan Heller Switzerland	10	187 1.0×	70 0.9×	3 0.4×	3 0.4×	3 0.5×	17	210
Philipp Dufter Germany	6	63 0.3×	149 1.9×	2 0.3×	8 1.1×	7 1.2×	17	195
Ruket Çakıcı Türkiye	7	222 1.2×	171 2.1×	6 0.8×	5 0.7×	1 0.2×	14	288

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).

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.

Co-authorship network of co-authors of Antoine Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Yang. A scholar is included among the top collaborators of Antoine Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antoine Yang. Antoine Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Yang, Antoine, et al.. (2024). CoVR-2: Automatic Data Construction for Composed Video Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11409–11421. 2 indexed citations

2.

Yang, Antoine, et al.. (2024). CoVR: Learning Composed Video Retrieval from Web Video Captions. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5270–5279. 18 indexed citations

3.

Carlucci, Fabio Maria, Pedro M. Esperança, Antoine Yang, et al.. (2023). Manas: multi-agent neural architecture search. Machine Learning. 113(1). 73–96. 7 indexed citations

4.

Yang, Antoine, Arsha Nagrani, Paul Hongsuck Seo, et al.. (2023). Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. 10714–10726. 102 indexed citations breakdown →

5.

Yang, Antoine, Antoine Miech, Josef Šivic, Ivan Laptev, & Cordelia Schmid. (2022). Learning to Answer Visual Questions From Web Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3202–3218. 19 indexed citations

6.

Yang, Antoine, Antoine Miech, Josef Šivic, Ivan Laptev, & Cordelia Schmid. (2022). TubeDETR: Spatio-Temporal Video Grounding with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16421–16432. 61 indexed citations

7.

Yang, Antoine, et al.. (2021). Just Ask: Learning to Answer Questions from Millions of Narrated Videos. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1666–1677. 8 indexed citations

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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