Zhilong Ji

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Generative Models — 44 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Zhilong Ji trusts overall

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

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

Papers from Zhilong Ji's perspective

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

Their papers

• ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation (2023) — 488 citations
• Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (2021) — 70 citations