Gengyun Jia

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Generative Models — 28 citations into it

Whom Gengyun Jia trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Prafulla Dhariwal
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Jonathan Ho
8. Yann LeCun
9. Ilya Sutskever
10. Karen Simonyan

Papers from Gengyun Jia's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Latte: Latent Diffusion Transformer for Video Generation (2024) — 570 citations