Summer Deng

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Hardware and Architecture — 9 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Summer Deng trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Ilya Sutskever
5. Alex Krizhevsky
6. Yoshua Bengio
7. Shaoqing Ren
8. Alex Graves
9. Ross B. Girshick
10. Sepp Hochreiter

Papers from Summer Deng's perspective

Ordered by how strongly the researchers Summer Deng 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Glow: Graph Lowering Compiler Techniques for Neural Networks (2018) — 337 citations
• FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference (2021) — 69 citations
• Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications (2018) — 205 citations