Lei Yang

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 128 citations into it
• Generative Models — 37 citations into it
• Control and Systems Engineering — 28 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Lei Yang trusts overall

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

1. Alex Nichol
2. Diederik P. Kingma
3. Prafulla Dhariwal
4. Mathis Petrovich

Papers from Lei Yang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. GENERATIVE ADVERSARIAL NETS
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)

Their papers

• OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation (2023) — 432 citations
• MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model (2022) — 1,020 citations
• ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model (2023) — 333 citations