Shaohui Jiao

Computer Vision and Pattern Recognition · 2011–2023

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #17,566 of 21,575 by trust here, #11,498 by citations
• Computer Graphics and Computer-Aided Design — 29 citations into it

Whom Shaohui Jiao trusts overall

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

1. Jonathan T. Barron
2. Kaiming He
3. Heiko Hirschmüller
4. Daniel Scharstein

Who trusts Shaohui Jiao overall

1. Jure Zbontar

Papers from Shaohui Jiao's perspective

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

Their papers

• Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction (2023) — 924 citations
• On building an accurate stereo matching system on graphics hardware (2011) — 612 citations