Patrick Labatut

2.6k citations
12 papers · 974 · 1 hit paper · h-index 8

Impact in

Papers in

Patrick Labatut

12 papers receiving 930 citations

Patrick Labatut's Hit Papers

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction 2021 · 235 citations
2350+1+3Years since publication50100150200

Peers

Patrick Labatut
Comparison fields: 5 of 65
  • Computer Graphics and Computer-Aided Design 309
  • Geology 369
  • Computer Vision and Pattern Recognition 703
  • Environmental Engineering 209
  • Aerospace Engineering 308
Replace Simon Fuhrmann with:
Simon Fuhrmann Germany
Ivan Sipiran Chile
Wentao Yuan United States
Minh-Khoi Tran Singapore
Helen Jiang United States
Philipp Jenke Germany
Qiangeng Xu United States
Paul Guerrero United States
Pablo Speciale Switzerland
Mark D. Wheeler United States
Patrick Labatut relative to Simon Fuhrmann Germany Simon Fuhrmann's profile →
Citations per field
00.5×2×4×6×8.8×
Simon Fuhrmann · 1×
Citations per year

Countries citing papers authored by Patrick Labatut

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Labatut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Patrick Labatut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Labatut Line = papers co-authored together Patrick Labatut links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
Hit paper breakdown →
2021235
2 2011218
3 2009193
4 2007147
5 2009123
6
Towards high-resolution large-scale multi-view stereo
200915
7 202115
8 200614
9 20066
10 20253
11 20213
12 20202

About Patrick Labatut

Patrick Labatut is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Computer Graphics and Computer-Aided Design and Geology, having authored 12 papers that have together received 974 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), 3D Shape Modeling and Analysis (5 papers), Robotics and Sensor-Based Localization (4 papers), Image Enhancement Techniques (3 papers), Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (309 citations), Geology (369 citations), Computer Vision and Pattern Recognition (703 citations), Environmental Engineering (209 citations) and Aerospace Engineering (308 citations). Patrick Labatut has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Renaud Keriven, Jean-Philippe Pons, David Novotný, Роман Шаповалов, Jeremy Reizenstein, L. Sbordone, Philipp Henzler, Andrea Vedaldi, Artsiom Sanakoyeu and Natalia Neverova. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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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