Fan Bao

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 8 papers; trusts 600 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 256 citations into it; #4,820 of 21,575 by trust here, #2,949 by citations
• Generative Models — 211 citations into it; #695 of 1,956 by trust here, #522 by citations
• Artificial Intelligence — 132 citations into it; #7,318 of 35,345 by trust here, #4,888 by citations
• Statistical and Nonlinear Physics — 71 citations into it
• Probabilistic & Bayesian Methods — 62 citations into it
• Signal Processing — 62 citations into it
• Biophysics — 26 citations into it
• Computational Mechanics — 23 citations into it

Whom Fan Bao trusts overall

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

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

Who trusts Fan Bao overall

1. Ye Yuan
2. Hanqun Cao
3. Xingchao Liu
4. Qinsheng Zhang
5. Keyu Tian
6. Cheng Lu
7. Xinyin Ma
8. Junsong Chen
9. Yi Jiang
10. Jiaming Song

Papers from Fan Bao's perspective

Ordered by how strongly the researchers Fan Bao 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps (2022) — 2,469 citations
• DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models (2022) — 1,074 citations
• ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (2023) — 1,425 citations
• Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (2022) — 91 citations
• Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models (2022) — 419 citations
• All are Worth Words: A ViT Backbone for Diffusion Models (2022) — 631 citations
• Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples (2017) — 133 citations
• Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models (2020) — 10 citations