Simon Duchesne
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
Whom Simon Duchesne trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He (in Computer Vision and Pattern Recognition)
Who trusts Simon Duchesne
- J. Urgen Schmidhuber (in Radiology, Nuclear Medicine and Imaging)
Papers from Simon Duchesne's perspective
Ordered by how strongly the researchers Simon Duchesne trusts endorse each paper. Same corpus, a different order for every researcher.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- ImageNet classification with deep convolutional neural networks
- Deeply-Supervised Nets
- Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge