Yin-Yin He

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 215 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 105 citations into it
• Generative Models — 61 citations into it
• Artificial Intelligence — 24 citations into it
• Computer Graphics and Computer-Aided Design — 16 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Signal Processing — 8 citations into it
• Model Architectures — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Yin-Yin He trusts overall

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

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

Who trusts Yin-Yin He overall

1. Yaofang Liu
2. D. Kondratyuk
3. Jinbo Xing

Papers from Yin-Yin He's perspective

Ordered by how strongly the researchers Yin-Yin He 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos (2023) — 353 citations
• VideoCrafter1: Open Diffusion Models for High-Quality Video Generation (2023) — 596 citations
• Latent Video Diffusion Models for High-Fidelity Long Video Generation (2022) — 429 citations