Jiawei Yang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #15,018 of 21,575 by trust here, #18,266 by citations
• Computer Graphics and Computer-Aided Design — 18 citations into it; #1,060 of 1,584 by trust here, #1,205 by citations
• Computational Mechanics — 14 citations into it; #6,798 of 10,001 by trust here, #7,501 by citations

Whom Jiawei Yang trusts overall

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

1. Jonathan T. Barron
2. Ajay Jain
3. Ben Mildenhall
4. Matthew Tancik
5. Ben Poole
6. Sosuke Kobayashi
7. Alex Yu
8. Rasmus Ramsbøl Jensen
9. Diederik P. Kingma
10. Geoffrey E. Hinton

Who trusts Jiawei Yang overall

1. Zehao Zhu
2. Jiahe Li
3. Zhiwen Fan
4. Jiawei Zhang
5. Yifan Jiang

Papers from Jiawei Yang's perspective

Ordered by how strongly the researchers Jiawei Yang 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. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization (2023) — 444 citations