Nisha Huang

Computer Vision and Pattern Recognition · 2022

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

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Nisha Huang trusts overall

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

1. Leon A. Gatys
2. Xun Huang
3. Gihyun Kwon
4. Aditya Ramesh
5. Olaf Ronneberger
6. Patrick Esser
7. Diederik P. Kingma
8. Prafulla Dhariwal
9. Geoffrey E. Hinton

Papers from Nisha Huang's perspective

Ordered by how strongly the researchers Nisha Huang 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. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Inversion-based Style Transfer with Diffusion Models (2022) — 478 citations