Jiachun Pan

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 26 citations into it

Whom Jiachun Pan trusts overall

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

1. Diederik P. Kingma
2. Tero Karras
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Jimmy Ba
8. Yann LeCun
9. Ilya Sutskever
10. Karen Simonyan

Papers from Jiachun Pan's perspective

Ordered by how strongly the researchers Jiachun Pan 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. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing (2023) — 375 citations