Arthur Douillard

495 total citations · 1 hit paper
7 papers, 214 citations indexed

About

Arthur Douillard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Arthur Douillard has authored 7 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Social Psychology. Recurrent topics in Arthur Douillard's work include Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (4 papers). Arthur Douillard is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (4 papers). Arthur Douillard collaborates with scholars based in France, Brazil and Italy. Arthur Douillard's co-authors include Matthieu Cord, Alexandre Ramé, Guillaume Couairon, Fabio Cermelli, Patrick Pérez, Tuan-Hung Vu, Arnaud Dapogny, Eduardo Valle and Thomas Robert and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Arthur Douillard

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.

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

2022 181 citations Arthur Douillard, Alexandre Ramé et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arthur Douillard France	4	185	137	20	8	7	7	214
Alexandre Ramé France	3	182 1.0×	133 1.0×	16 0.8×	6 0.8×	6 0.9×	4	211
Tiange Luo United Kingdom	2	130 0.7×	88 0.6×	23 1.1×	6 0.8×	9 1.3×	3	157
Vinod K Kurmi India	9	195 1.1×	168 1.2×	37 1.9×	5 0.6×	9 1.3×	17	264
Matthias De Lange Belgium	3	186 1.0×	118 0.9×	17 0.8×	7 0.9×	6 0.9×	3	215
Noel Codella United States	5	188 1.0×	260 1.9×	9 0.5×	6 0.8×	9 1.3×	9	338
Raphael Gontijo Lopes United States	3	180 1.0×	179 1.3×	18 0.9×	3 0.4×	10 1.4×	5	272
Assaf Arbelle United States	7	117 0.6×	102 0.7×	10 0.5×	5 0.6×	22 3.1×	11	195
Yiwu Zhong United States	6	210 1.1×	297 2.2×	10 0.5×	8 1.0×	7 1.0×	8	376
Namyup Kim South Korea	5	121 0.7×	171 1.2×	10 0.5×	2 0.3×	12 1.7×	6	220
Paola Cascante-Bonilla United States	6	109 0.6×	95 0.7×	9 0.5×	4 0.5×	8 1.1×	8	157

Countries citing papers authored by Arthur Douillard

Since Specialization

Citations

This map shows the geographic impact of Arthur Douillard'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 Arthur Douillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Douillard more than expected).

Fields of papers citing papers by Arthur Douillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur Douillard. 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 Arthur Douillard. The network helps show where Arthur Douillard may publish in the future.

Co-authorship network of co-authors of Arthur Douillard

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Douillard. A scholar is included among the top collaborators of Arthur Douillard 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 Arthur Douillard. Arthur Douillard 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.

Cermelli, Fabio, Matthieu Cord, & Arthur Douillard. (2023). CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. 3010–3020. 10 indexed citations

2.

Douillard, Arthur, Alexandre Ramé, Guillaume Couairon, & Matthieu Cord. (2022). DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9275–9285. 181 indexed citations breakdown →

3.

Douillard, Arthur, et al.. (2022). Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 14 indexed citations

4.

Ramé, Alexandre, et al.. (2022). CoRe: Color Regression for Multicolor Fashion Garments. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2251–2256. 2 indexed citations

5.

Douillard, Arthur, et al.. (2021). PLOP: Learning without Forgetting for Continual Semantic Segmentation. arXiv (Cornell University). 4039–4049. 4 indexed citations

6.

Douillard, Arthur, et al.. (2021). Insights from the Future for Continual Learning. arXiv (Cornell University). 3477–3486. 1 indexed citations

7.

Douillard, Arthur, et al.. (2020). Small-Task Incremental Learning.. arXiv (Cornell University). 2 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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