Haoxiang Li

Computer Vision and Pattern Recognition · with Hua · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 544 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 150 citations into it; #6,202 of 21,575 by trust here, #4,623 by citations
• Artificial Intelligence — 77 citations into it
• Signal Processing — 24 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Model Architectures — 15 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Optimization & Training — 5 citations into it

Whom Haoxiang Li trusts overall

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

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

Who trusts Haoxiang Li overall

1. Rajeev Ranjan
2. Dacheng Tao
3. Yancheng Bai
4. Shiming Ge
5. Jing Zhang
6. Changxing Ding
7. Xiaoou Tang
8. Yuhui Yuan
9. Lingjiao Chen
10. Chaochao Lu

Papers from Haoxiang Li's perspective

Ordered by how strongly the researchers Haoxiang Li 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A convolutional neural network cascade for face detection (2015) — 1,329 citations
• Probabilistic Elastic Matching for Pose Variant Face Verification (2013) — 228 citations
• Labeled Faces in the Wild: A Survey (2016) — 485 citations
• Few-Shot Open-Set Recognition Using Meta-Learning (2020) — 129 citations
• Any-Precision Deep Neural Networks (2019) — 80 citations