Tingfa Xu

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 719 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 159 citations into it
• Artificial Intelligence — 48 citations into it
• Media Technology — 31 citations into it
• Model Architectures — 12 citations into it
• Aerospace Engineering — 7 citations into it

Whom Tingfa Xu trusts overall

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

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

Who trusts Tingfa Xu overall

1. Markus Braun

Papers from Tingfa Xu's perspective

Ordered by how strongly the researchers Tingfa Xu 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Perceptual Generative Adversarial Networks for Small Object Detection (2017) — 839 citations
• Attentive Contexts for Object Detection (2016) — 234 citations
• Human-Aware Motion Deblurring (2019) — 392 citations
• Scale-Aware Fast R-CNN for Pedestrian Detection (2015) — 837 citations