Marwan Torki

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #10,491 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 24 citations into it; #20,759 of 35,345 by trust here, #23,077 by citations
• Human-Computer Interaction — 16 citations into it
• Natural Language Processing — 10 citations into it
• 3D Vision & Pose — 8 citations into it
• Biomedical Engineering — 8 citations into it; #10,176 of 10,734 by trust here, #8,509 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Marwan Torki trusts overall

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

1. Chih-Jen Lin
2. Leo Breiman
3. Victoria Bloom
4. Aixia Guo
5. Wanqing Li
6. Jiajia Luo
7. Corinna Cortes
8. Isabelle M Guyon
9. Trevor J. Hastie
10. Geoffrey E. Hinton

Who trusts Marwan Torki overall

1. Seungryul Baek
2. Jun Liu
3. Yanghao Li
4. Fei Han
5. Tae-Kyun Kim
6. Djamila Romaissa Beddiar
7. Kwang In Kim
8. Amir Shahroudy
9. Chunhui Liu

Papers from Marwan Torki's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Question Answering Using Hierarchical Attention on Top of BERT Features (2019) — 6 citations
• Real-Time Multi-scale Action Detection from 3D Skeleton Data (2015) — 56 citations
• Linear-time online action detection from 3D skeletal data using bags of gesturelets (2015) — 31 citations