Rongfei Jia

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 5 papers; trusts 308 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 149 citations into it; #19,139 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 97 citations into it; #31,162 of 35,345 by trust here, #27,551 by citations
• Computational Mechanics — 59 citations into it
• Aerospace Engineering — 47 citations into it
• Computer Graphics and Computer-Aided Design — 43 citations into it
• Evaluation & Benchmarks — 35 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Environmental Engineering — 9 citations into it

Whom Rongfei Jia trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Karen Simonyan
10. David G. Lowe

Who trusts Rongfei Jia overall

1. Görkem Algan

Papers from Rongfei Jia's perspective

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

Their papers

• 3D-FUTURE: 3D Furniture Shape with TextURE (2020) — 417 citations
• NeRF-Editing: Geometry Editing of Neural Radiance Fields (2022) — 299 citations
• 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics (2020) — 472 citations
• O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks (2019) — 283 citations
• Secure Federated Submodel Learning (2019) — 35 citations