Ofir Brenner

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 276 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Generative Models — 39 citations into it
• Artificial Intelligence — 28 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Biophysics — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ofir Brenner trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Tero Karras
5. Diederik P. Kingma
6. Yoshua Bengio
7. Christian Szegedy
8. Ross B. Girshick
9. Yann LeCun
10. Karen Simonyan

Papers from Ofir Brenner's perspective

Ordered by how strongly the researchers Ofir Brenner 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• LARGE: Latent-Based Regression through GAN Semantics (2021) — 27 citations