Guillaume Charpiat
Computer Vision and Pattern Recognition · 2008–2017
A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it; #7,966 of 21,575 by trust here, #6,542 by citations
- Media Technology — 16 citations into it; #2,587 of 3,621 by trust here, #757 by citations
- Atmospheric Science — 11 citations into it
- Artificial Intelligence — 6 citations into it
Whom Guillaume Charpiat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- Vladimir Kolmogorov
- Christopher Evans
- Yuri Boykov
- Geoffrey E. Hinton
- Ramin Zabih
- Evan Shelhamer
- Richard Szeliski
- Volodymyr Mnih
- Alex Krizhevsky
Who trusts Guillaume Charpiat overall
- Richard Zhang
- Alex Yong Sang Chia
- Raj Kumar Gupta
- Ke Li
- Gustav Larsson
- Zezhou Cheng
- Sergio Guadarrama
- Phillip Isola
- Michael Maire
- Tianhao Zhang
Papers from Guillaume Charpiat's perspective
Ordered by how strongly the researchers Guillaume Charpiat 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Automatic Image Colorization Via Multimodal Predictions (2008) — 265 citations
- Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark (2017) — 811 citations
- Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification (2017) — 990 citations
- MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration (2008) — 520 citations