Xiaofang Wang

Computer Vision and Pattern Recognition · with Kitani · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 380 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 100 citations into it; #17,008 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 80 citations into it; #27,748 of 35,345 by trust here, #19,018 by citations
• Model Architectures — 32 citations into it
• Neural Architecture Search & AutoML — 16 citations into it
• Optimization & Training — 14 citations into it
• Efficiency & Compression — 11 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Natural Language Processing — 6 citations into it

Whom Xiaofang Wang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Ross B. Girshick
6. Andrew Zisserman
7. Yoshua Bengio
8. Ilya Sutskever
9. Christian Szegedy
10. Yann LeCun

Who trusts Xiaofang Wang overall

1. Martin Wistuba

Papers from Xiaofang Wang's perspective

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

• Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection (2016) — 115 citations
• Learnable Embedding Space for Efficient Neural Architecture Compression (2019) — 45 citations
• AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification (2020) — 54 citations