Gil Levi

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 622 researchers and is trusted by 83 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #3,328 of 21,575 by trust here, #6,542 by citations
• Artificial Intelligence — 34 citations into it
• Signal Processing — 19 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Model Architectures — 11 citations into it
• Natural Language Processing — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Experimental and Cognitive Psychology — 6 citations into it; #2,607 of 9,731 by trust here, #5,956 by citations

Whom Gil Levi trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Tal Hassner
5. Ilya Sutskever
6. Caifeng Shan
7. Karen Simonyan
8. Christian Szegedy
9. Andrew Zisserman
10. Alex Graves

Who trusts Gil Levi overall

1. Shan Li
2. Yingqi Liu
3. Seyed Ali Osia
4. Weihong Deng
5. Yongxin Yang
6. Mahmoud Afifi
7. L. Elisa Celis
8. Eran Malach
9. Ben Zion Vatashsky
10. Harish Katti

Papers from Gil Levi's perspective

Ordered by how strongly the researchers Gil Levi 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Age and gender classification using convolutional neural networks (2015) — 1,157 citations
• Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns (2015) — 340 citations
• Temporal Tessellation: A Unified Approach for Video Analysis (2016) — 48 citations