Wei Xia

Computer Vision and Pattern Recognition · with Xiong · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 566 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 153 citations into it; #15,452 of 21,575 by trust here, #5,941 by citations
• Artificial Intelligence — 58 citations into it; #27,255 of 35,345 by trust here, #9,092 by citations
• Safety, Robustness & Interpretability — 27 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Signal Processing — 19 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Generative Models — 15 citations into it
• Model Architectures — 13 citations into it

Whom Wei Xia trusts overall

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

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

Who trusts Wei Xia overall

1. Yunchao Wei
2. Tianshui Chen
3. Qi Wu
4. Zhouxia Wang
5. Mateusz Budnik
6. Guangwu Qian

Papers from Wei Xia's perspective

Ordered by how strongly the researchers Wei Xia 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• HCP: A Flexible CNN Framework for Multi-Label Image Classification (2014) — 708 citations
• Towards causal benchmarking of bias in face analysis algorithms (2020) — 100 citations
• Towards Backward-Compatible Representation Learning (2020) — 100 citations
• Learning Self-Consistency for Deepfake Detection (2020) — 391 citations