Oran Gafni

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 760 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 197 citations into it; #9,337 of 21,575 by trust here, #5,333 by citations
• Generative Models — 113 citations into it; #1,759 of 1,956 by trust here, #363 by citations
• Artificial Intelligence — 72 citations into it
• Evaluation & Benchmarks — 25 citations into it
• Model Architectures — 16 citations into it
• Signal Processing — 16 citations into it
• Computer Graphics and Computer-Aided Design — 14 citations into it
• Optimization & Training — 12 citations into it

Whom Oran Gafni trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Karen Simonyan
6. Yoshua Bengio
7. Ilya Sutskever
8. Andrew Zisserman
9. Yann LeCun
10. Jimmy Ba

Who trusts Oran Gafni overall

1. Yotam Nitzan
2. Maxim Maximov
3. Adam Polyak
4. Swaroop Mishra
5. Amit H. Bermano
6. Yufan Zhou
7. Armen Aghajanyan
8. Omer Bar-Tal
9. Lvmin Zhang
10. Narek Tumanyan

Papers from Oran Gafni's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors (2022) — 639 citations
• KNN-Diffusion: Image Generation via Large-Scale Retrieval (2022) — 169 citations
• Live Face De-Identification in Video (2019) — 158 citations
• Make-A-Video: Text-to-Video Generation without Text-Video Data (2022) — 2,111 citations
• Single-Shot Freestyle Dance Reenactment (2020) — 16 citations