Vincent Leroy

Papers

1

Total Citations

8

H-Index

1

About

Vincent Leroy is a computer vision researcher whose work centers on reconstructing 3D scenes from video, with a particular focus on hand-object interactions. His most notable contribution, the SHOWMe system, introduces a robust, object-agnostic approach to reconstructing hand-object 3D models directly from monocular RGB video. This method, published in 2024, has already garnered 8 citations, signaling its early impact in the field. By eliminating the need for object-specific priors, SHOWMe advances the practical application of 3D reconstruction in augmented reality and robotics, where understanding dynamic human-object interactions is critical. Leroy’s research bridges the gap between 2D video input and high-fidelity 3D output, addressing challenges in occlusion and motion. His work is recognized for its technical innovation and potential to enable more natural human-computer interfaces. As a rising voice in 3D vision, Leroy continues to push boundaries in reconstructing complex, real-world scenes from everyday video footage.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
SHOWMe: Robust object-agnostic hand-object 3D reconstruction from RGB video
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago