Daiheng Gao

Pattern Recognition · 2020

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

Whom Daiheng Gao trusts overall

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

1. Davis E. King
2. Tero Karras

Papers from Daiheng Gao's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Perceptual Losses for Real-Time Style Transfer and Super-Resolution
6. ImageNet Large Scale Visual Recognition Challenge
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Going deeper with convolutions
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deepfacelab: Integrated, flexible and extensible face-swapping framework (2020) — 361 citations