Camille Biscarrat

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #14,949 of 21,575 by trust here, #20,756 by citations
• Media Technology — 9 citations into it

Whom Camille Biscarrat trusts overall

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

1. Tobias Plötz
2. Kai Zhang
3. Diederik P. Kingma
4. Stefan Roth
5. David L. Donoho
6. Carlo Tomasi
7. Wangmeng Zuo
8. Keigo Hirakawa
9. Jimmy Ba
10. Alex Krizhevsky

Who trusts Camille Biscarrat overall

1. Haokui Zhang
2. Ying Li

Papers from Camille Biscarrat's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation (2019) — 29 citations