Huaping Liu

Computer Vision and Pattern Recognition · with Chen · 2023

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 82 citations into it; #16,934 of 21,575 by trust here, #15,162 by citations
• Computer Graphics and Computer-Aided Design — 56 citations into it; #1,225 of 1,584 by trust here, #950 by citations
• Generative Models — 23 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Huaping Liu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jonathan Ho
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Alec Radford
8. Ben Poole
9. Bernhard Kerbl
10. Robin Rombach

Who trusts Huaping Liu overall

1. Guikun Chen

Papers from Huaping Liu's perspective

Ordered by how strongly the researchers Huaping Liu 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. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Text-to-3D using Gaussian Splatting (2023) — 384 citations
• GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting (2023) — 432 citations