Lin Wang

Computer Vision and Pattern Recognition · with Fang · 2020

A researcher in the Science corpus: 1 paper; trusts 292 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #17,378 of 21,575 by trust here, #21,424 by citations
• Artificial Intelligence — 23 citations into it; #28,317 of 35,345 by trust here, #34,943 by citations
• Efficiency & Compression — 12 citations into it
• Model Architectures — 9 citations into it

Whom Lin Wang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Yoshua Bengio
7. Sergey Ioffe
8. Shaoqing Ren
9. Tsung-Yi Lin
10. Ilya Sutskever

Who trusts Lin Wang overall

1. P. Adarsh

Papers from Lin Wang's perspective

Ordered by how strongly the researchers Lin Wang 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments (2020) — 312 citations