Stavros Petridis

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 466 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it; #13,104 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 57 citations into it
• Signal Processing — 56 citations into it; #3,714 of 7,572 by trust here, #2,114 by citations
• Model Architectures — 16 citations into it
• Optimization & Training — 12 citations into it
• Generative Models — 10 citations into it
• Speech & Audio — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Stavros Petridis trusts overall

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

1. Joon Son Chung
2. Kaiming He
3. Diederik P. Kingma
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yann LeCun
9. X. Zhang
10. Jimmy Ba

Who trusts Stavros Petridis overall

1. Pingchuan Ma
2. Triantafyllos Afouras
3. Joon Son Chung
4. Brais Martínez
5. Maja Pantic
6. Jinyu Li
7. Zhimeng Zhang
8. Wei-Ning Hsu
9. Lele Chen
10. Andrew Zisserman

Papers from Stavros Petridis's perspective

Ordered by how strongly the researchers Stavros Petridis 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
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

• Realistic Speech-Driven Facial Animation with GANs (2019) — 334 citations
• Lipreading Using Temporal Convolutional Networks (2020) — 307 citations
• Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (2020) — 624 citations
• End-To-End Audio-Visual Speech Recognition with Conformers (2021) — 311 citations
• End-to-End Audiovisual Speech Recognition (2018) — 297 citations