Yves van Gennip
Computer Vision and Pattern Recognition · 2012
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Yves van Gennip trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea Braides
- Guy Gilboa
- Stanley J. Osher
- Ulrike von Luxburg
- Matthias Hein
- Mikhail Belkin
- Jianbo Shi
- Jean-Yves Audibert
- A. Buades
- Giovanni S. Alberti
Papers from Yves van Gennip's perspective
Ordered by how strongly the researchers Yves van Gennip trusts endorse each paper. Same corpus, a different order for every researcher.
- Normalized cuts and image segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- $\Gamma$-convergence of graph Ginzburg-Landau functionals (2012) — 63 citations