Qingming Huang

Computer Vision and Pattern Recognition · with Lin · 2015

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #9,351 of 21,575 by trust here, #11,950 by citations
• Artificial Intelligence — 14 citations into it; #14,546 of 35,345 by trust here, #17,776 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Qingming Huang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Christian Szegedy
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. X. Zhang
7. Ilya Sutskever
8. Shaoqing Ren
9. Ross B. Girshick
10. Yann LeCun

Who trusts Qingming Huang overall

1. Jie Hu
2. Xingyi Zhou
3. Bingyi Kang
4. Yu Li

Papers from Qingming Huang's perspective

Ordered by how strongly the researchers Qingming Huang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks (2015) — 336 citations