Jiwen Yu

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 162 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it
• Generative Models — 45 citations into it
• Artificial Intelligence — 29 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Biophysics — 5 citations into it

Whom Jiwen Yu trusts overall

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

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

Who trusts Jiwen Yu overall

1. Arpit Bansal

Papers from Jiwen Yu's perspective

Ordered by how strongly the researchers Jiwen Yu 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. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model (2022) — 767 citations
• WorldSimBench: Towards Video Generation Models as World Simulators (2024) — 1,198 citations
• FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model (2023) — 344 citations