Tianfu Wang

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 103 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 116 citations into it; #17,155 of 21,575 by trust here, #8,831 by citations
• Artificial Intelligence — 69 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Tianfu Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Ross B. Girshick
5. Pascal Vincent
6. Yann LeCun
7. Ilya Sutskever
8. Kaiming He
9. Ruslan Salakhutdinov
10. Diederik P. Kingma

Who trusts Tianfu Wang overall

1. Kwang-Ting Cheng
2. Xin Yang
3. Zengqiang Yan

Papers from Tianfu Wang's perspective

Ordered by how strongly the researchers Tianfu Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images (2020) — 372 citations
• Deep Learning in Medical Ultrasound Analysis: A Review (2019) — 723 citations
• Convolutional neural networks based transfer learning for diabetic retinopathy fundus image classification (2017) — 158 citations
• A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images (2016) — 534 citations
• Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks (2015) — 348 citations
• Automatic Vaginal Bacteria Segmentation and Classification Based on Superpixel and Deep Learning (2014) — 7 citations