Hossein Sadeghi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 36 citations into it
• Generative Models — 31 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Hossein Sadeghi trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yoshua Bengio
4. Radford M. Neal
5. Geoffrey E. Hinton
6. Aäron van den Oord
7. Yann LeCun
8. Danilo Jimenez Rezende
9. Tim Salimans
10. Ruslan Salakhutdinov

Who trusts Hossein Sadeghi overall

1. Arash Vahdat

Papers from Hossein Sadeghi's perspective

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

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

Their papers

• PixelVAE++: Improved PixelVAE with Discrete Prior (2019) — 34 citations