Vincent Lepetit

Computer Vision and Pattern Recognition · with Guédon · 2023

A researcher in the Science corpus: 1 paper; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Computer Graphics and Computer-Aided Design — 23 citations into it
• Computational Mechanics — 15 citations into it

Whom Vincent Lepetit trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter Hedman
2. Jonathan T. Barron
3. Pratul P. Srinivasan
4. Ben Mildenhall
5. Lior Yariv
6. Gernot Riegler
7. William E. Lorensen
8. T. Muller
9. Dor Verbin
10. Christian Reiser

Who trusts Vincent Lepetit overall

1. Tianyi Xie
2. Haotong Lin

Papers from Vincent Lepetit's perspective

Ordered by how strongly the researchers Vincent Lepetit trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. GENERATIVE ADVERSARIAL NETS
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering (2023) — 864 citations