Qihang Mo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it

Whom Qihang Mo trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Alexandru Cristian Telea
4. Diederik P. Kingma
5. Kaiming He
6. Yoshua Bengio
7. Yann LeCun
8. Karen Simonyan
9. David G. Lowe
10. Ross B. Girshick

Papers from Qihang Mo's perspective

Ordered by how strongly the researchers Qihang Mo 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. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. GENERATIVE ADVERSARIAL NETS
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation (2020) — 200 citations