Qiang Hu

Computer Vision and Pattern Recognition · with Zhang · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Qiang Hu trusts overall

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

1. Gisle Bjøntegaard
2. Chao Dong
3. Kaiming He
4. Sergey Ioffe
5. Christian Szegedy
6. Yuanying Dai

Papers from Qiang Hu's perspective

Ordered by how strongly the researchers Qiang Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Enhancing HEVC Compressed Videos with a Partition-Masked Convolutional Neural Network (2018) — 83 citations