Lingfeng Wang

Computer Vision and Pattern Recognition · with Chang · 2017

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #15,998 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 11 citations into it
• Representation & Self-Supervised Learning — 7 citations into it; #2,455 of 3,145 by trust here, #2,355 by citations

Whom Lingfeng Wang trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. David G. Lowe
4. Diederik P. Kingma
5. Yann LeCun
6. Geoffrey E. Hinton
7. L. V. D. van der Maaten
8. Kaiming He
9. Navneet Dalal
10. Ross B. Girshick

Who trusts Lingfeng Wang overall

1. Xu Ji
2. Zhun Zhong
3. Raghuram Mandyam Annasamy
4. Andrea Vedaldi
5. Yanbei Chen
6. Ganqu Cui

Papers from Lingfeng Wang's perspective

Ordered by how strongly the researchers Lingfeng 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Adaptive Image Clustering (2017) — 553 citations