Ali Jahanian

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 637 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 116 citations into it; #4,380 of 21,575 by trust here, #4,834 by citations
• Artificial Intelligence — 65 citations into it
• Generative Models — 49 citations into it; #441 of 1,956 by trust here, #595 by citations
• Evaluation & Benchmarks — 24 citations into it
• Prompting & Reasoning — 22 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Large Language Models — 14 citations into it
• Media Technology — 14 citations into it

Whom Ali Jahanian trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ross B. Girshick
8. Antonio Torralba
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Ali Jahanian overall

1. Zongze Wu
2. Ali Borji
3. Yujun Shen
4. Andrey Voynov
5. Yotam Nitzan
6. Ankit Thakkar
7. Axel Sauer
8. Eli Shechtman
9. Yuval Alaluf
10. Chenlin Meng

Papers from Ali Jahanian's perspective

Ordered by how strongly the researchers Ali Jahanian 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. 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. Going deeper with convolutions

Their papers

• On the "steerability" of generative adversarial networks (2019) — 426 citations
• Paint by Word (2021) — 138 citations
• Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models (2022) — 121 citations
• Exploring Visual Prompts for Adapting Large-Scale Models (2022) — 380 citations