Omri Avrahami

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 430 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it; #6,426 of 21,575 by trust here, #6,873 by citations
• Generative Models — 78 citations into it; #1,157 of 1,956 by trust here, #989 by citations
• Multimodal Learning — 34 citations into it
• Artificial Intelligence — 23 citations into it; #25,695 of 35,345 by trust here, #19,873 by citations
• Computer Graphics and Computer-Aided Design — 16 citations into it; #940 of 1,584 by trust here, #486 by citations
• Signal Processing — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Omri Avrahami trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Prafulla Dhariwal
4. Alex Krizhevsky
5. Alex Nichol
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Karen Simonyan
10. Tero Karras

Who trusts Omri Avrahami overall

1. Omer Bar-Tal
2. Amir Hertz
3. Chenyang Qi
4. Yuval Alaluf
5. Jiwoo Chung
6. Florinel-Alin Croitoru
7. Jianyi Wang
8. Elad Richardson
9. Jing Shi
10. Guillaume Couairon

Papers from Omri Avrahami's perspective

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

Their papers

• Blended Diffusion for Text-driven Editing of Natural Images (2021) — 1,278 citations
• Blended Latent Diffusion (2022) — 568 citations