Daiqi Shi

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 686 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 36 citations into it
• Model Architectures — 29 citations into it
• Optimization & Training — 8 citations into it
• Electrical and Electronic Engineering — 6 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Daiqi Shi trusts overall

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

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

Papers from Daiqi Shi's perspective

Ordered by how strongly the researchers Daiqi Shi 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• TransNeXt: Robust Foveal Visual Perception for Vision Transformers (2023) — 386 citations