Xiaodong Gu

Computer Vision and Pattern Recognition · with Tan · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 255 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it; #15,580 of 21,575 by trust here, #11,083 by citations
• 3D Vision & Pose — 14 citations into it
• Model Architectures — 14 citations into it
• Aerospace Engineering — 13 citations into it
• Artificial Intelligence — 13 citations into it; #25,415 of 35,345 by trust here, #27,551 by citations

Whom Xiaodong Gu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Kaiming He
5. Yoshua Bengio
6. Ilya Sutskever
7. Ross B. Girshick
8. Matthew D. Zeiler
9. Rob Fergus
10. Yasutaka Furukawa

Who trusts Xiaodong Gu overall

1. Yuchao Dai
2. Haofei Xu
3. Gangwei Xu
4. Debjyoti Sinha
5. Kai Zhang
6. Anpei Chen
7. Donny Y. Chen
8. Yinhao Li
9. Zhibo Rao
10. Mohamed A. El-Sharkawy

Papers from Xiaodong Gu's perspective

Ordered by how strongly the researchers Xiaodong Gu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching (2019) — 959 citations
• Neural Window Fully-connected CRFs for Monocular Depth Estimation (2022) — 295 citations
• Towards dropout training for convolutional neural networks (2015) — 333 citations