Naiyu Gao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 158 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #18,589 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 16 citations into it; #30,411 of 35,345 by trust here, #18,586 by citations

Whom Naiyu Gao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Shaoqing Ren
6. Christian Szegedy
7. Yann LeCun
8. Sergey Ioffe
9. Yoshua Bengio
10. Karen Simonyan

Who trusts Naiyu Gao overall

1. Huiyu Wang
2. Liang-Chieh Chen
3. Qihang Yu
4. Rohit Mohan
5. Ujwal D. Bonde
6. Yukun Zhu
7. Siyuan Qiao
8. Yanwei Li
9. Xinlong Wang
10. Bin Dong

Papers from Naiyu Gao's perspective

Ordered by how strongly the researchers Naiyu Gao 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• SSAP: Single-Shot Instance Segmentation With Affinity Pyramid (2019) — 248 citations