Mohammad Taghi Saffar

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 425 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 145 citations into it; #10,226 of 21,575 by trust here, #4,317 by citations
• Artificial Intelligence — 114 citations into it; #15,985 of 35,345 by trust here, #8,007 by citations
• Multimodal Learning — 50 citations into it
• Generative Models — 37 citations into it
• Natural Language Processing — 33 citations into it
• Model Architectures — 29 citations into it; #1,191 of 2,278 by trust here, #785 by citations
• Representation & Self-Supervised Learning — 14 citations into it
• Optimization & Training — 9 citations into it

Whom Mohammad Taghi Saffar trusts overall

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

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

Who trusts Mohammad Taghi Saffar overall

1. Markus Norman Rabe
2. Kalpesh Krishna
3. Tri Dao
4. Yi Tay
5. Alex Nichol
6. Ali Hassani
7. Ting-Li Chen
8. Andrew Jaegle
9. J. Ainslie
10. Diederik P. Kingma

Papers from Mohammad Taghi Saffar's perspective

Ordered by how strongly the researchers Mohammad Taghi Saffar 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Efficient Content-Based Sparse Attention with Routing Transformers (2020) — 773 citations
• Phenaki: Variable Length Video Generation From Open Domain Textual Description (2022) — 572 citations
• FindIt: Generalized Localization with Natural Language Queries (2022) — 18 citations