Simon Ging

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 518 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 101 citations into it
• Artificial Intelligence — 73 citations into it
• Multimodal Learning — 49 citations into it
• Representation & Self-Supervised Learning — 23 citations into it
• Natural Language Processing — 20 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Simon Ging trusts overall

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

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

Who trusts Simon Ging overall

1. Chuan Guo
2. Xinxin Zuo

Papers from Simon Ging's perspective

Ordered by how strongly the researchers Simon Ging 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. Long Short-Term Memory
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

• COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning (2020) — 181 citations
• Open-vocabulary Attribute Detection (2022) — 42 citations