Or Fleisher
SIGGRAPH Posters · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Or Fleisher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Or Fleisher overall
Papers from Or Fleisher's perspective
Ordered by how strongly the researchers Or Fleisher 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Volume: 3D reconstruction of history for immersive platforms (2018) — 1,365 citations