Florian Chabot

603 total citations
9 papers, 67 citations indexed

About

Florian Chabot is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Florian Chabot has authored 9 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Florian Chabot's work include Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Florian Chabot is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Florian Chabot collaborates with scholars based in France and Algeria. Florian Chabot's co-authors include Catherine Achard, Quoc Cuong Pham, Hichem Sahbi, Jaonary Rabarisoa, Hervé Le Borgne, Romaric Audigier, Thierry Château, Mohamed Chaouch, Nicolas Granger and Céline Teulière and has published in prestigious journals such as HAL (Le Centre pour la Communication Scientifique Directe), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and SPIRE - Sciences Po Institutional REpository.

In The Last Decade

Florian Chabot

7 papers receiving 63 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Chabot France	4	60	17	12	8	6	9	67
Lumin Xu China	5	66 1.1×	22 1.3×	18 1.5×	14 1.8×	3 0.5×	9	90
Jianbing Shen China	3	108 1.8×	52 3.1×	7 0.6×	3 0.4×	3 0.5×	6	127
Dongyoon Wee South Korea	4	75 1.3×	30 1.8×	12 1.0×	5 0.6×	2 0.3×	10	89
AJ Piergiovanni United States	5	100 1.7×	72 4.2×	14 1.2×	8 1.0×	3 0.5×	13	127
Jiajun Su China	4	76 1.3×	11 0.6×	31 2.6×	16 2.0×	4 0.7×	10	83
Mohammad Sadegh Aliakbarian Australia	3	111 1.9×	65 3.8×	15 1.3×	8 1.0×	2 0.3×	6	124
Baohua Lai China	2	55 0.9×	11 0.6×	5 0.4×	4 0.5×	1 0.2×	3	82
Lutao Chu China	3	58 1.0×	11 0.6×	6 0.5×	4 0.5×	1 0.2×	4	85
Yaroslav Ganin Canada	4	34 0.6×	32 1.9×	5 0.4×	6 0.8×		4	75
Guansong Lu China	6	107 1.8×	39 2.3×	3 0.3×	6 0.8×	2 0.3×	9	129

Countries citing papers authored by Florian Chabot

Since Specialization

Citations

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

Fields of papers citing papers by Florian Chabot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Chabot

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

All Works

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9 of 9 papers shown

1.

Chabot, Florian, et al.. (2025). GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation. SPIRE - Sciences Po Institutional REpository. 2250–2259.

2.

Chabot, Florian, et al.. (2024). DIOD: Self-Distillation Meets Object Discovery. 3975–3985.

3.

Chabot, Florian, et al.. (2024). MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. 3625–3634. 8 indexed citations

4.

Chabot, Florian, et al.. (2024). The Background Also Matters: Background-Aware Motion-Guided Objects Discovery. 1205–1214. 1 indexed citations

5.

Chabot, Florian, et al.. (2023). Image Segmentation-based Unsupervised Multiple Objects Discovery. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3276–3285. 7 indexed citations

6.

Chabot, Florian, et al.. (2023). Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning. SPIRE - Sciences Po Institutional REpository. 525–529. 1 indexed citations

7.

Chabot, Florian, et al.. (2023). BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2060–2069. 3 indexed citations

8.

Chabot, Florian, et al.. (2020). PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. HAL (Le Centre pour la Communication Scientifique Directe). 6855–6864. 45 indexed citations

9.

Chabot, Florian, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, & Thierry Château. (2016). Accurate 3D car pose estimation. HAL (Le Centre pour la Communication Scientifique Directe). 3807–3811. 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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