Loïc Landrieu

1.8k total citations
30 papers, 679 citations indexed

About

Loïc Landrieu is a scholar working on Computational Mechanics, Ecology and Environmental Engineering. According to data from OpenAlex, Loïc Landrieu has authored 30 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 9 papers in Ecology and 9 papers in Environmental Engineering. Recurrent topics in Loïc Landrieu's work include 3D Shape Modeling and Analysis (10 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (9 papers). Loïc Landrieu is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (9 papers). Loïc Landrieu collaborates with scholars based in France, Switzerland and Spain. Loïc Landrieu's co-authors include Vivien Sainte Fare Garnot, Nesrine Chehata, Bruno Vallet, Stéphane Guinard, Hugo Raguet, Sébastien Giordano, Guillaume Obozinski, Clément Mallet, Martin Weinmann and Renaud Marlet and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Remote Sensing.

In The Last Decade

Loïc Landrieu

29 papers receiving 666 citations

Peers

Loïc Landrieu

ECOLO

GEOLO

CVPR

Shaobo Xia China

Yu Zang China

Nicolas Audebert France

Dilong Li China

Shangshu Cai China

Uwe Knauer Germany

Sheng Xu China

Xianwei Zheng China

Wolfgang Förstner Germany

Tomi Rosnell Finland

Shaobo Xia China

Loïc Landrieu

485 ×1.7

245 ×1.1

ECOLO

260 ×1.3

GEOLO

53 ×0.3

198 ×1.5

CVPR

Citations per year, relative to Loïc Landrieu Loïc Landrieu (= 1×) peers Shaobo Xia

Countries citing papers authored by Loïc Landrieu

Since Specialization

Citations

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

Fields of papers citing papers by Loïc Landrieu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loïc Landrieu

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

Mallet, Clément, et al.. (2025). AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities. 19530–19540. 5 indexed citations

Bešič, Nikola, et al.. (2025). Open-Canopy: Towards Very High Resolution Forest Monitoring. SPIRE - Sciences Po Institutional REpository. 1395–1406.

Picard, David, et al.. (2025). Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation. SPIRE - Sciences Po Institutional REpository. 23016–23026. 1 indexed citations

Landrieu, Loïc, et al.. (2024). OpenStreetView-5M: The Many Roads to Global Visual Geolocation. 21967–21977. 3 indexed citations

Aubry, Mathieu, et al.. (2024). Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. 27874–27884. 1 indexed citations

Marlet, Renaud, et al.. (2024). A Survey and Benchmark of Automatic Surface Reconstruction From Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 2000–2019. 4 indexed citations

Wu, Sidi, et al.. (2024). StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. 7922–7931. 8 indexed citations

Vallet, Bruno, et al.. (2022). Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5565–5574. 52 indexed citations

Landrieu, Loïc, et al.. (2022). Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1341–1350. 3 indexed citations

10.

Garnot, Vivien Sainte Fare, Loïc Landrieu, & Nesrine Chehata. (2022). Multi-modal temporal attention models for crop mapping from satellite time series. ISPRS Journal of Photogrammetry and Remote Sensing. 187. 294–305. 82 indexed citations

11.

Garnot, Vivien Sainte Fare & Loïc Landrieu. (2021). Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4852–4861. 126 indexed citations

12.

Landrieu, Loïc, et al.. (2021). Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series. Remote Sensing. 13(22). 4599–4599. 13 indexed citations

13.

Garnot, Vivien Sainte Fare & Loïc Landrieu. (2021). Leveraging Class Hierarchies with Metric-Guided Prototype Learning. 1 indexed citations

14.

Garnot, Vivien Sainte Fare, Loïc Landrieu, Sébastien Giordano, & Nesrine Chehata. (2020). Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention. arXiv (Cornell University). 12322–12331. 42 indexed citations

15.

Garnot, Vivien Sainte Fare, Loïc Landrieu, Sébastien Giordano, & Nesrine Chehata. (2019). Time-Space Tradeoff in Deep Learning Models for Crop Classification on Satellite Multi-Spectral Image Time Series. SPIRE - Sciences Po Institutional REpository. 37 indexed citations

16.

Guinard, Stéphane, Loïc Landrieu, Laurent Caraffa, & Bruno Vallet. (2019). PIECEWISE-PLANAR APPROXIMATION OF LARGE 3D DATA AS GRAPH-STRUCTURED OPTIMIZATION. SHILAP Revista de lepidopterología. IV-2/W5. 365–372. 5 indexed citations

17.

Giordano, Sébastien, et al.. (2018). Crop-Rotation Structured Classification using Multi-Source Sentinel Images and LPIS for Crop Type Mapping. HAL (Le Centre pour la Communication Scientifique Directe). 1950–1953. 15 indexed citations

18.

Landrieu, Loïc, Hugo Raguet, Bruno Vallet, Clément Mallet, & Martin Weinmann. (2017). A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 132. 102–118. 84 indexed citations

19.

Guinard, Stéphane & Loïc Landrieu. (2017). WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3D LIDAR POINT CLOUDS. SHILAP Revista de lepidopterología. XLII-1/W1. 151–157. 74 indexed citations

20.

Raguet, Hugo & Loïc Landrieu. (2015). Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs. SIAM Journal on Imaging Sciences. 8(4). 2706–2739. 21 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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