Xudong Cao

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 9 papers; trusts 879 researchers and is trusted by 2,105 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 147 citations into it; #856 of 21,575 by trust here, #1,875 by citations
• Artificial Intelligence — 58 citations into it; #4,206 of 35,345 by trust here, #6,266 by citations
• Signal Processing — 22 citations into it; #624 of 7,572 by trust here, #761 by citations
• Representation & Self-Supervised Learning — 16 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Model Architectures — 12 citations into it
• Aerospace Engineering — 8 citations into it
• Computational Mechanics — 8 citations into it

Whom Xudong Cao trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. David G. Lowe
4. Kaiming He
5. Piotr Doll'ar
6. Ross B. Girshick
7. Yoshua Bengio
8. Peter N. Belhumeur
9. Yann LeCun
10. Ilya Sutskever

Who trusts Xudong Cao overall

1. Yi Sun
2. Xiaoou Tang
3. Xiaogang Wang
4. Xuanyi Dong
5. Ping Luo
6. Rajeev Ranjan
7. Chaochao Lu
8. Zhanpeng Zhang
9. Dong Chen
10. Yaniv Taigman

Papers from Xudong Cao's perspective

Ordered by how strongly the researchers Xudong Cao 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Bayesian Face Revisited: A Joint Formulation (2012) — 436 citations
• Face Alignment by Explicit Shape Regression (2012) — 1,253 citations
• Face Alignment at 3000 FPS via Regressing Local Binary Features (2014) — 880 citations
• Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification (2013) — 697 citations
• Joint Cascade Face Detection and Alignment (2014) — 410 citations
• A Key Volume Mining Deep Framework for Action Recognition (2016) — 240 citations
• A Practical Transfer Learning Algorithm for Face Verification (2013) — 223 citations
• Well Begun Is Half Done: Generating High-Quality Seeds for Automatic Image Dataset Construction from Web (2014) — 96 citations
• Learning Discriminative Reconstructions for Unsupervised Outlier Removal (2015) — 309 citations