Ningxin Jiao

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Computer Graphics and Computer-Aided Design — 23 citations into it
• Computational Mechanics — 18 citations into it
• Generative Models — 10 citations into it

Whom Ningxin Jiao trusts overall

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

1. Jonathan T. Barron
2. Diederik P. Kingma
3. Ajay Jain
4. Geoffrey E. Hinton

Papers from Ningxin Jiao's perspective

Ordered by how strongly the researchers Ningxin Jiao 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation (2023) — 814 citations