Matthieu Guillaumin

6.0k total citations · 2 hit papers
22 papers, 2.1k citations indexed

About

Matthieu Guillaumin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Matthieu Guillaumin has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Matthieu Guillaumin's work include Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Matthieu Guillaumin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Matthieu Guillaumin collaborates with scholars based in Switzerland, France and Germany. Matthieu Guillaumin's co-authors include Jakob Verbeek, Cordelia Schmid, Thomas Mensink, Luc Van Gool, Santiago Manén, Vittorio Ferrari, Jüergen Gall, Lukas Bossard, Shubham Goel and Xi Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Matthieu Guillaumin

21 papers receiving 2.0k 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.

Is that you? Metric learning approaches for face identification

2009 528 citations Matthieu Guillaumin, Jakob Verbeek et al. HAL (Le Centre pour la Communication Scientifique Directe) profile →
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

2009 487 citations Matthieu Guillaumin, Thomas Mensink et al. HAL (Le Centre pour la Communication Scientifique Directe) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthieu Guillaumin Switzerland	14	1.8k	697	182	154	118	22	2.1k
Thomas Mensink Netherlands	21	2.3k 1.3×	1.1k 1.6×	269 1.5×	133 0.9×	112 0.9×	49	2.8k
Chaoqun Hong China	13	1.0k 0.6×	417 0.6×	157 0.9×	86 0.6×	138 1.2×	51	1.4k
Yongjian Wu China	27	2.3k 1.3×	1.0k 1.4×	115 0.6×	84 0.5×	119 1.0×	71	2.7k
Junlin Hu China	19	1.6k 0.9×	445 0.6×	116 0.6×	448 2.9×	151 1.3×	52	2.0k
Hakan Çevıkalp Türkiye	17	768 0.4×	327 0.5×	150 0.8×	182 1.2×	83 0.7×	65	1.1k
Xinge You China	21	907 0.5×	355 0.5×	254 1.4×	119 0.8×	103 0.9×	52	1.3k
Dhruv Mahajan United States	22	1.1k 0.6×	423 0.6×	215 1.2×	60 0.4×	79 0.7×	49	1.5k
Bo Dai China	21	1.7k 1.0×	768 1.1×	90 0.5×	162 1.1×	152 1.3×	55	2.2k
Konstantinos Bousmalis United Kingdom	9	1.0k 0.6×	783 1.1×	126 0.7×	98 0.6×	82 0.7×	16	1.5k
Renjie Liao Canada	20	1.6k 0.9×	461 0.7×	451 2.5×	92 0.6×	64 0.5×	46	2.2k

Countries citing papers authored by Matthieu Guillaumin

Since Specialization

Citations

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

Fields of papers citing papers by Matthieu Guillaumin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Guillaumin

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Guillaumin. A scholar is included among the top collaborators of Matthieu Guillaumin 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 Matthieu Guillaumin. Matthieu Guillaumin 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:

20 of 20 papers shown

Collins, Jasmine, Shubham Goel, Erhan Gündoğdu, et al.. (2022). ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21094–21104. 61 indexed citations

Guillaumin, Matthieu, et al.. (2015). Incremental Learning of Random Forests for Large-Scale Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(3). 490–503. 97 indexed citations

Gall, Jüergen, et al.. (2015). From categories to subcategories: Large-scale image classification with partial class label refinement. Lirias (KU Leuven). 231–239. 23 indexed citations

Guillaumin, Matthieu, et al.. (2014). ImageNet Auto-Annotation with Segmentation Propagation. International Journal of Computer Vision. 110(3). 328–348. 83 indexed citations

Guillaumin, Matthieu, et al.. (2014). Incremental Learning of NCM Forests for Large-Scale Image Classification. Lirias (KU Leuven). 3654–3661. 51 indexed citations

Qin, Danfeng, et al.. (2014). Quantized Kernel Learning for Feature Matching. 27. 172–180. 7 indexed citations

Qin, Danfeng, Yuhua Chen, Matthieu Guillaumin, & Luc Van Gool. (2014). Learning to Rank Histograms for Object Retrieval. 43.1–43.12. 2 indexed citations

Qin, Danfeng, Yuhua Chen, Matthieu Guillaumin, & Luc Van Gool. (2014). Learning to rank bag-of-word histograms for large-scale object retrieval. Lirias (KU Leuven). 1–12. 3 indexed citations

Guillaumin, Matthieu, Luc Van Gool, & Vittorio Ferrari. (2013). Fast Energy Minimization Using Learned State Filters. Lirias (KU Leuven). 1682–1689. 5 indexed citations

10.

Bossard, Lukas, et al.. (2013). Event Recognition in Photo Collections with a Stopwatch HMM. Lirias (KU Leuven). 1193–1200. 34 indexed citations

11.

Manén, Santiago, Matthieu Guillaumin, & Luc Van Gool. (2013). Prime Object Proposals with Randomized Prim's Algorithm. Lirias (KU Leuven). 2536–2543. 172 indexed citations

12.

Guillaumin, Matthieu, Thomas Mensink, Jakob Verbeek, & Cordelia Schmid. (2011). Face Recognition from Caption-Based Supervision. International Journal of Computer Vision. 96(1). 64–82. 35 indexed citations

13.

Verbeek, Jakob, Matthieu Guillaumin, Thomas Mensink, & Cordelia Schmid. (2010). Image annotation with tagprop on the MIRFLICKR set. HAL (Le Centre pour la Communication Scientifique Directe). 537–546. 68 indexed citations

14.

Guillaumin, Matthieu, Jakob Verbeek, & Cordelia Schmid. (2010). Multimodal semi-supervised learning for image classification. HAL (Le Centre pour la Communication Scientifique Directe). 902–909. 311 indexed citations

15.

Guillaumin, Matthieu, Jakob Verbeek, Cordelia Schmid, & Thomas Mensink. (2010). Apprentissage de distance pour l'annotation d'images par plus proches voisins. HAL (Le Centre pour la Communication Scientifique Directe).

16.

Douze, Matthijs, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, & Jakob Verbeek. (2009). INRIA-LEAR's Participation in ImageCLEF 2009.. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

17.

Guillaumin, Matthieu, Jakob Verbeek, & Cordelia Schmid. (2009). Is that you? Metric learning approaches for face identification. HAL (Le Centre pour la Communication Scientifique Directe). 498–505. 528 indexed citations breakdown →

18.

Guillaumin, Matthieu, Thomas Mensink, Jakob Verbeek, & Cordelia Schmid. (2009). TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. HAL (Le Centre pour la Communication Scientifique Directe). 309–316. 487 indexed citations breakdown →

19.

Guillaumin, Matthieu, Thomas Mensink, Jakob Verbeek, & Cordelia Schmid. (2008). Automatic face naming with caption-based supervision. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 52 indexed citations

20.

Guillaumin, Matthieu. (1972). A biometrical study of populations of Pyrgus carlinae Rbr. and Pyrgus cirsii Rbr. (Lepidoptera hesperiidae) a simplified method to evaluate the overlapping rate in the statistical distributions of the two populations, by reference to the notion of distance. 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.

Explore authors with similar magnitude of impact