Kai Wei

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 14 citations into it
• Signal Processing — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Kai Wei trusts overall

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

1. Yusuke Shinohara
2. Sariel Har-Peled
3. Alex Krizhevsky
4. Andreas Krause
5. Yangqing Jia
6. Hieu Tat Nguyen
7. David Kempe
8. Geoffrey E. Hinton
9. H. Sebastian Seung
10. Oren Boiman

Who trusts Kai Wei overall

1. Krishnateja Killamsetty
2. Daniel Gissin
3. Daniyal Rajput
4. Ethan R. Elenberg
5. Kemal Oksuz
6. Yanyao Shen
7. Shai Shalev-Shwartz
8. Baharan Mirzasoleiman
9. Wei-Jen Wang
10. Xujiang Zhao

Papers from Kai Wei's perspective

Ordered by how strongly the researchers Kai Wei 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. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget (2021) — 5 citations
• Submodularity in Data Subset Selection and Active Learning (2015) — 494 citations