Yi Wei

Computer Vision and Pattern Recognition · with Lu · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 277 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #13,564 of 21,575 by trust here, #19,310 by citations
• Generative Models — 27 citations into it; #1,263 of 1,956 by trust here, #1,875 by citations
• Artificial Intelligence — 19 citations into it
• Evaluation & Benchmarks — 11 citations into it; #1,965 of 3,147 by trust here, #3,004 by citations

Whom Yi Wei trusts overall

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

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

Who trusts Yi Wei overall

1. Ali Borji
2. Garrett Wilson
3. Diane Joyce Cook

Papers from Yi Wei's perspective

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

• An Improved Evaluation Framework for Generative Adversarial Networks (2018) — 51 citations
• SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving (2023) — 417 citations