Qiting Ye

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 164 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it

Whom Qiting Ye trusts overall

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

1. Ross B. Girshick
2. Shaoqing Ren
3. Kaiming He
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Piotr Doll'ar
7. Yann LeCun
8. Andrew Zisserman
9. Yoshua Bengio
10. Ilya Sutskever

Papers from Qiting Ye's perspective

Ordered by how strongly the researchers Qiting Ye 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Detecting Masked Faces in the Wild with LLE-CNNs (2017) — 386 citations