2026 Vincent Lepetit: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	81	993	962	12	12	261	39119

Research.com Recognitions

2025 - Research.com Computer Science in France Leader Award
2023 - Research.com Computer Science in France Leader Award
2022 - Research.com Computer Science in France Leader Award

Overview

Vincent Lepetit is affiliated with École des Ponts ParisTech in France and has an extensive publication record in the fields of computer science and engineering. Their research predominantly focuses on areas within computer vision and pattern recognition as well as related subfields in engineering.

Their work spans several specialized topics, including:

Advanced Vision and Imaging
Robotics and Sensor-Based Localization
Human Pose and Action Recognition
Robot Manipulation and Learning
Advanced Neural Network Applications
3D Shape Modeling and Analysis
Advanced Image and Video Retrieval Techniques

Lepetit has frequently collaborated with other researchers, including Sinisa Stekovic, Mahdi Rad, Yuming Du, Nikos Paragios, and Friedrich Fraundorfer. These collaborations have contributed to multiple publications over time, reflecting a networked research approach.

Key publication venues for their research include:

arXiv (Cornell University)
Radiotherapy and Oncology
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
TUGraz OPEN Library (Graz University of Technology)
IEEE Transactions on Pattern Analysis and Machine Intelligence

Among their recent publications are:

"Few-shot Object Detection and Viewpoint Estimation for Objects in the Wild," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
"Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Back to MLP: A Simple Baseline for Human Motion Prediction," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
"Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering," 2023, arXiv (Cornell University)

Their research contributions span topics in human motion prediction, 3D pose estimation, object detection, and efficient 3D mesh reconstruction methodologies. The work is characterized by the development of models and algorithms applicable to challenging environments and complex object interactions.

Best Publications

BRIEF: binary robust independent elementary features

Michael Calonder;Vincent Lepetit;Christoph Strecha;Pascal Fua

5248
Citations
EPnP: An Accurate O(n) Solution to the PnP Problem

Vincent Lepetit;Francesc Moreno-Noguer;Pascal Fua

3635
Citations
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo

E. Tola;V. Lepetit;P. Fua

1957
Citations
Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

Stefan Hinterstoisser;Vincent Lepetit;Slobodan Ilic;Stefan Holzer

1342
Citations
LIFT: Learned Invariant Feature Transform

Kwang Moo Yi;Eduard Trulls;Vincent Lepetit;Pascal Fua

1319
Citations
Keypoint recognition using randomized trees

V. Lepetit;P. Fua

1075
Citations
BRIEF: Computing a Local Binary Descriptor Very Fast

M. Calonder;V. Lepetit;M. Ozuysal;T. Trzcinski

1016
Citations
Fast Keypoint Recognition Using Random Ferns

M. Ozuysal;M. Calonder;V. Lepetit;P. Fua

968
Citations
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

Mahdi Rad;Vincent Lepetit

878
Citations
Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

Vincent Lepetit;Pascal Fua

779
Citations
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes

Stefan Hinterstoisser;Stefan Holzer;Cedric Cagniart;Slobodan Ilic

755
Citations
Gradient Response Maps for Real-Time Detection of Textureless Objects

S. Hinterstoisser;C. Cagniart;S. Ilic;P. Sturm

732
Citations
Randomized trees for real-time keypoint recognition

V. Lepetit;P. Lagger;P. Fua

721
Citations
A fast local descriptor for dense matching

E. Tola;V. Lepetit;P. Fua

721
Citations
Fast Keypoint Recognition in Ten Lines of Code

M. Ozuysal;P. Fua;V. Lepetit

684
Citations
Stable real-time 3D tracking using online and offline information

L. Vacchetti;V. Lepetit;P. Fua

556
Citations
Learning to Find Good Correspondences

Kwang Moo Yi;Eduard Trulls;Yuki Ono;Vincent Lepetit

535
Citations
Learning descriptors for object recognition and 3D pose estimation

Paul Wohlhart;Vincent Lepetit

523
Citations
Hands Deep in Deep Learning for Hand Pose Estimation

Markus Oberweger;Paul Wohlhart;Vincent Lepetit

469
Citations
Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking

Luca Vacchetti;Vincent Lepetit;Pascal Fua

454
Citations

Frequent Co-Authors

Pascal Fua École Polytechnique Fédérale de Lausanne

Slobodan Ilic Technical University of Munich

Nassir Navab Technical University of Munich

Woontack Woo Korea Advanced Institute of Science and Technology

Mathieu Salzmann École Polytechnique Fédérale de Lausanne

Kurt Konolige Google (United States)

Francesc Moreno-Noguer Universitat Politècnica de Catalunya

Dieter Schmalstieg University of Stuttgart

Pierrick Coupé University of Bordeaux

José V. Manjón Universitat Politècnica de València

External Links

Wikipedia of Vincent Lepetit Personal website of Vincent Lepetit Google Scholar page

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