Florian Bernard
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 6 papers; trusts 418 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 271 citations into it; #5,683 of 21,575 by trust here, #3,633 by citations
- Computational Mechanics — 59 citations into it; #8,641 of 10,001 by trust here, #1,582 by citations
- Generative Models — 42 citations into it; #1,913 of 1,956 by trust here, #748 by citations
- Artificial Intelligence — 19 citations into it
- Optimization & Training — 6 citations into it
Whom Florian Bernard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
- Yoshua Bengio
- Karen Simonyan
Who trusts Florian Bernard overall
- Ayush Kumar Tewari
- Adnane Boukhayma
- Anh Tuan Tran
- Qianru Sun
- Peihao Zhu
- Shichen Liu
- Linlin Yang
- Liuhao Ge
- Bugra Tekin
- Pavlo Molchanov
Papers from Florian Bernard's perspective
Ordered by how strongly the researchers Florian Bernard trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB (2017) — 565 citations
- MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction (2017) — 585 citations
- StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images (2020) — 451 citations
- Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz (2017) — 277 citations
- 3D Morphable Face Models—Past, Present, and Future (2019) — 530 citations
- PIE (2020) — 52 citations