Diane Larlus

6.1k total citations · 2 hit papers
32 papers, 2.3k citations indexed

About

Diane Larlus is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Diane Larlus has authored 32 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Diane Larlus'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 (9 papers). Diane Larlus 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 (9 papers). Diane Larlus collaborates with scholars based in France, South Korea and United Kingdom. Diane Larlus's co-authors include Florent Perronnin, Gabriela Csurka, Jakob Verbeek, Joost van de Weijer, C. Schmid, Albert Gordo, Jon Almazán, Jérôme Revaud, Luca Marchesotti and Frédéric Jurie and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Diane Larlus

32 papers receiving 2.3k 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.

Learning Color Names for Real-World Applications

2009 483 citations Joost van de Weijer, C. Schmid et al. IEEE Transactions on Image Processing profile →
What is a good evaluation measure for semantic segmentation?

2013 366 citations Gabriela Csurka, Diane Larlus et al. profile →

Peers

Countries citing papers authored by Diane Larlus

Since Specialization

Citations

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

Fields of papers citing papers by Diane Larlus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Larlus

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Larlus. A scholar is included among the top collaborators of Diane Larlus 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 Diane Larlus. Diane Larlus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations 2022 ·PubMed ·(unknown), Iro Laina, Diane Larlus, Andrea Vedaldi	75
2	NeuralDiff: Segmenting 3D objects that move in egocentric videos 2021 ·Oxford University Research Archive (ORA) (University of Oxford) ·(unknown), Diane Larlus, Andrea Vedaldi	20
3	Hard Negative Mixing for Contrastive Learning 2020 ·Neural Information Processing Systems ·Yannis Kalantidis, Mert Bülent Sarıyıldız, (unknown), Philippe Weinzaepfel, Diane Larlus	24
4	2019 ·arXiv (Cornell University) ·Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen	90
5	Capturing the Geometry of Object Categories from Video Supervision 2018 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·David Novotný, Diane Larlus, Andrea Vedaldi	7
6	Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval 2017 ·Albert Gordo, Diane Larlus	49
7	I Have Seen Enough: Transferring Parts Across Categories 2016 ·David Novotný, Diane Larlus, Andrea Vedaldi	11
8	Fisher vectors meet Neural Networks: A hybrid classification architecture 2015 ·Florent Perronnin, Diane Larlus	82
9	Data-Driven Detection of Prominent Objects 2015 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·José A. Rodríguez-Serrano, Diane Larlus, Zhenwen Dai	13
10	What is a good evaluation measure for semantic segmentation? breakdown → 2013 ·Gabriela Csurka, Diane Larlus, Florent Perronnin	366
11	Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors 2011 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Maja Stikic, Diane Larlus, Sandra Ebert, Bernt Schiele	119
12	Combining Visible and Near-Infrared Cues for image Categorisation 2011 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·(unknown), Diane Larlus, Gabriela Csurka	9
13	Standing on the Shoulders of Other Researchers - A Position Statement 2010 ·Max Planck Institute for Plasma Physics ·Ulf Blanke, Diane Larlus, Kristof Van Laerhoven, Bernt Schiele	2
14	Multi-graph Based Semi-supervised Learning for Activity Recognition 2009 ·Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) ·Maja Stikic, Diane Larlus, Bernt Schiele	51
15	Learning Color Names for Real-World Applications breakdown → 2009 ·IEEE Transactions on Image Processing ·Joost van de Weijer, C. Schmid, Jakob Verbeek, Diane Larlus	483
16	Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields 2009 ·International Journal of Computer Vision ·Diane Larlus, Jakob Verbeek, Frédéric Jurie	33
17	Category Level Object Segmentation by Combining Bag-of-words Models and Markov Random Fields 2008 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Diane Larlus, Jakob Verbeek, Frédéric Jurie	4
18	Combining appearance models and Markov Random Fields for category level object segmentation 2008 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Diane Larlus, Frédéric Jurie	42
19	Latent mixture vocabularies for object categorization and segmentation 2008 ·Image and Vision Computing ·Diane Larlus, Frédéric Jurie	28
20	Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2 2007 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Olivier Stasse, Diane Larlus, (unknown), Adrien Escande, (unknown), Abderrahmane Kheddar, Kazuhito Yokoi, Frédéric Jurie	16

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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