Tianpei Gu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 25 citations into it
• Generative Models — 20 citations into it
• Automotive Engineering — 16 citations into it

Whom Tianpei Gu 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 Nichol
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ruslan Salakhutdinov
8. Kaiming He
9. Yann LeCun
10. Boris Ivanovic

Papers from Tianpei Gu's perspective

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

Their papers

• Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion (2022) — 402 citations
• Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory (2022) — 316 citations