Jianjun Qian

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it

Whom Jianjun Qian trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Koray Kavukcuoglu
7. Yoshua Bengio
8. E.J. Candes
9. Shaoqing Ren
10. John Wright

Papers from Jianjun Qian's perspective

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

Their papers

• DSFD: Dual Shot Face Detector (2018) — 481 citations
• Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes (2014) — 350 citations