Tianyu Yang

Computer Vision and Pattern Recognition · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Generative Models — 28 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Tianyu Yang trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Prafulla Dhariwal
4. Alex Nichol
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Aäron van den Oord
8. Yoshua Bengio
9. Kaiming He
10. Ilya Sutskever

Papers from Tianyu Yang's perspective

Ordered by how strongly the researchers Tianyu Yang 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Latent Video Diffusion Models for High-Fidelity Long Video Generation (2022) — 429 citations